FAIR VIEW ABOUT DATA CENTRE:

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The companies/organization who are maintaining data centres are an absolutely crucial challenge. When I started studying the data centres, I had seen Microsoft, Google, Facebook and Day in the life of a data centre videos. Apart from it, I went through very few articles.

Interestingly, the security level seems enormous. Precisely, I saw a video on Google Data Center Security: six Layers Deep. Technicians look notably, professionals. Because in a Day in a life of data centre video they review and change several hard drives and doing repairs shows their dedications.

Apart from watching videos, if I had an opportunity to visit any data centre, I will go. I would argue, it doesn’t matter which data centre you have a visit. It all matters with the experience you are gonna gain in the data centre by looking at the way they work.

Finally, the investment made to build the data centre is gigantic. With humility, we must pay respect to the professionals who are in the data centre.

I’m gonna combine the two articles about the data centre. I would say those two says fair view about the data centre.

I’m gonna paste the source link down below. I sincerely encourage you all to visit further.

What Is a Data Center

At its simplest, a data center is a physical facility that organizations use to house their critical applications and data. A data center’s design is based on a network of computing and storage resources that enable the delivery of shared applications and data. The key components of a data center design include routers, switches, firewalls, storage systems, servers, and application-delivery controllers.

What defines a modern data center?

Modern data centers are very different than they were just a short time ago. Infrastructure has shifted from traditional on-premises physical servers to virtual networks that support applications and workloads across pools of physical infrastructure and into a multicloud environment.

In this era, data exists and is connected across multiple data centers, the edge, and public and private clouds. The data center must be able to communicate across these multiple sites, both on-premises and in the cloud. Even the public cloud is a collection of data centers. When applications are hosted in the cloud, they are using data center resources from the cloud provider.

Why are data centers important to business?

In the world of enterprise IT, data centers are designed to support business applications and activities that include:

  • Email and file sharing
  • Productivity applications
  • Customer relationship management (CRM)
  • Enterprise resource planning (ERP) and databases
  • Big data, artificial intelligence, and machine learning
  • Virtual desktops, communications and collaboration services

What are the core components of a data center?

Data center design includes routers, switches, firewalls, storage systems, servers, and application delivery controllers. Because these components store and manage business-critical data and applications, data center security is critical in data center design. Together, they provide:

Network infrastructure. This connects servers (physical and virtualized), data center services, storage, and external connectivity to end-user locations.

Storage infrastructure. Data is the fuel of the modern data center. Storage systems are used to hold this valuable commodity.

Computing resources. Applications are the engines of a data center. These servers provide the processing, memory, local storage, and network connectivity that drive applications.

How do data centers operate?

Data center services are typically deployed to protect the performance and integrity of the core data center components.

Network security appliances. These include firewall and intrusion protection to safeguard the data center.

Application delivery assurance. To maintain application performance, these mechanisms provide application resiliency and availability via automatic failover and load balancing.

What is in a data center facility?

Data center components require significant infrastructure to support the center’s hardware and software. These include power subsystems, uninterruptible power supplies (UPS), ventilation, cooling systems, fire suppression, backup generators, and connections to external networks.

What are the standards for data center infrastructure?

The most widely adopted standard for data center design and data center infrastructure is ANSI/TIA-942. It includes standards for ANSI/TIA-942-ready certification, which ensures compliance with one of four categories of data center tiers rated for levels of redundancy and fault tolerance.

Tier 1: Basic site infrastructure. A Tier 1 data center offers limited protection against physical events. It has single-capacity components and a single, nonredundant distribution path.

Tier 2: Redundant-capacity component site infrastructure. This data center offers improved protection against physical events. It has redundant-capacity components and a single, nonredundant distribution path.

Tier 3: Concurrently maintainable site infrastructure. This data center protects against virtually all physical events, providing redundant-capacity components and multiple independent distribution paths. Each component can be removed or replaced without disrupting services to end users.

Tier 4: Fault-tolerant site infrastructure. This data center provides the highest levels of fault tolerance and redundancy. Redundant-capacity components and multiple independent distribution paths enable concurrent maintainability and one fault anywhere in the installation without causing downtime.

The Role of the Data Center

Data centers are an integral part of the enterprise, designed to support business applications and provide services such as:

  • Data storage, management, backup and recovery
  • Productivity applications, such as email
  • High-volume e-commerce transactions
  • Powering online gaming communities
  • Big data, machine learning and artificial intelligence

Today, there are reportedly more than 7 million data centers worldwide. Practically every business and government entity builds and maintains its own data center or has access to someone else’s, if not both models. Many options are available today, such as renting servers at a colocation facility, using data center services managed by a third party, or using public cloud-based services from hosts like Amazon, Microsoft, Sony and Google.

The primary elements of a data center break down as follows:

  • Facility – the usable space available for IT equipment. Providing round-the-clock access to information makes data centers some of the world’s most energy-consuming facilities. Design to optimize space and environmental control to keep equipment within specific temperature/humidity ranges are both emphasized.
  • Core components – equipment and software for IT operations and storage of data and applications. These may include storage systems; servers; network infrastructure, such as switches and routers; and various information security elements, such as firewalls.
  • Support infrastructure – equipment contributing to securely sustaining the highest availability possible. The Uptime Institute has defined four tiers of data centers, with availability ranging from 99.671% to 99.995%. Some components for supporting infrastructure include:
    • Uninterruptible Power Sources (UPS) – battery banks, generators and redundant power sources.
    • Environmental control – computer room air conditioners (CRAC); heating, ventilation and air conditioning (HVAC) systems; and exhaust systems.
    • Physical security systems – biometrics and video surveillance systems.
  • Operations staff – personnel available to monitor operations and maintain IT and infrastructure equipment around the clock.

Data centers have evolved significantly in recent years. As enterprise IT needs continue to move toward on-demand services, data center infrastructure has shifted from on-premises servers to virtualized infrastructure that supports workloads across pools of physical infrastructure and multi-cloud environments. There is an expression these days: The modern data center is where your workloads are.

 

SOURCE: https://www.cisco.com/c/en/us/solutions/data-center-virtualization/what-is-a-data-center.html

https://www.paloaltonetworks.com/cyberpedia/what-is-a-data-center

https://www.google.com/about/datacenters/gallery/

 

With respect.

 

 

 

MY NEW DOMAIN: rationalewriter.in/

It took me more than a while to register a domain. Quite honestly, I was struggling financially. But I have a purpose to write. I was intent to write. From my first post, until today I have no regrets to write without domain. It is all about writing matters to me.

I have no idea when this domain name arose to me as a “Rationale writer”. I thought innovative. The word rationale mean “the fundamental reason or logic behind something, the justification behind something”.

I started having self-talk, whether this word “Rationale” applies to my every post. I scrolled down every post by post. Whenever I write a blog post, I write a reason behind it. I see a cause. Moreover, I could able to write why am I writing or sharing. Sometimes not. Whether pics or books I have a reason to post it. My each and every post had been posted purposely for a right cause and impact for an reader Even more, I have a vantage point too.

I have a second thought, I could seek help from my brother regarding domain. We were started discussing what’s going on so far from my blog. Categorically, I said to him. I got a new name for my blog. I should not waste. That’s it. I said, I don’t know how new it is. I need your help. Let’s type this domain and let’s see. Finally, things got settled.

Finally, I said to him. There is a reason behind to register a domain immediately because I have a new thought, I don’t know how it is. I would say “Universal Law of attraction”. When you are deliberately looking for something, the universe will open doors for you.

Still quite happy, often too. I’m still thinking writing is the journey. Domain seems fine. Let’s work and write rationally than ever before. Let’s write for a reason/logic. Let’s accept the challenge to write.

 

With respect.

 

Valuable lessons: The importance of data quality: A sustainable approach By SAS Insights staff.

Quality matters with everything. When it comes to data, we must learn to pay huge attention. I think we do more than adequate when it comes to the quantity of data. But the quality the question mark arises here. Because once you started concentrating more on the quality of data as equal to the quantity of data. The possibility of output would be successive. If the quality fails at some point, the better option you could do re-work on the data. If sometimes things won’t work as you think, you must move onto the next option of collecting fresh (even primary) data with the quality too.

This is what I supposed to do. Please correct me, if I’m wrong. So far from my experiences in handling data over the last, just 2 years makes to think in this way. Of course, there are enough possibilities to work more on data quality.

When I started learning about data quality. This article comes. The word sustainable approach makes to go farther to read this article and started a new learning curve on data quality. I love the word sustainability. Being an M.A Economics student, I started understanding the word “Sustainability”.

I’m gonna paste the source link down below. I sincerely encourage you all to visit further.

Nobody likes unpleasant surprises. When it’s time to look objectively at what has been happening in terms of customer activity, business productivity or progress toward targets, everyone wants to be able to trust the reports they’re given. And no one wants to be embarrassed by delivering inaccurate reports, no matter what the underlying reason. In situations like this, the importance of data quality is undisputed.

But how much control does an individual have over the quality of data used in reports? Who is accountable for that data? Who understands where it originated, or how and why it may have been altered? Who gets to write the business rules or the quality standards? There are usually many different business constituents for each set of data, each needing to tell their own story. Do you draw straws to decide who gets to tailor the data to meet their specific business needs? And who gets to say whether the data is wrong?

Of course, there are software tools that can help with data correction and error analysis. But tools alone won’t fix the problem. Business users first need to have a plan to help them identify quality issues, track down underlying sources, develop mechanisms to resolve problems, and then set up a process to monitor and flag any new issues that arise.

Analysts spend from 20 percent to 60 percent of their valuable time trying to understand and fix poor data. Any ROI analysis will take into account the squandered time among analysts across the enterprise who are caught up in these unproductive but necessary activities.

Screenshot_2020-07-18 The importance of data quality A sustainable approach

A sustainable plan

Managing data quality is not necessarily simple. When you consider the data life cycle – from data creation/collection to archival – there are many steps along the way, including:

  • Rules for collecting/creating data.
  • Data quality standards, thresholds and rejection criteria.
  • Data standardization and summarization rules.
  • Data integration rules with other sources of data.
  • Hierarchy management (relationship management).
  • Ongoing triggers to detect outliers during updates.
  • Data correction rules.

An effective, sustainable data quality plan will resonate with business users and should include the following five elements.

Elevate the visibility and importance of data quality

Poor data quality has a significant business cost – in time, effort and accuracy. Quantify the cost of poor data and build a credible business case that demonstrates the negative impact of current data quality problems. Illustrate how data quality affects different parts of the business. This becomes a key part of your justification for why a plan that comprehensively encompasses the importance of data quality is a business imperative.

Formalize decision making through a data governance program

Data correction should not happen in a vacuum, nor should each analyst have his/her own rules for correcting errors. Avoid allowing too many people to make one-off data quality decisions that don’t meet a shared business purpose. Grant authority for developing business rules and standards with a decision-making data governance group that has perspective across business areas. These rules need to be vetted and approved to ensure they’re valid and reusable. Only then should the data quality process be applied.

Document the data quality issues, business rules, standards and policies for data correction

A boss once told me: “If it’s not documented, it didn’t happen.” To battle a fire-fighting culture of data fixes – and to prevent ongoing inefficiencies caused by individuals who correct data inconsistently – you’ll need to document each issue, publish it and communicate the remedy. This encourages users to avoid costly and time-consuming adventures in fixing data in ways that can’t be reused or shared across the organization.

Clarify accountability for data quality

Develop a process whereby business users can report data quality issues and then work with data stewards to research the error’s source and develop a resolution. Relieve business analysts from the burden of researching data quality issues – free them to do their jobs as analysts. Identify data quality specialists, both data stewards and data quality professionals, who are responsible for resolving data quality issues. Those issues can range from root-cause analysis, metadata management and policy definition to documentation and monitoring. This approach – which acknowledges the tremendous importance of data quality – is a huge savings to most organizations.

Applaud your successes

If you’ve crafted your plan carefully, you’ll collect baseline statistics and then measure improvements to data quality over time. Demonstrate the business value to users through your own case studies. The importance of data quality is supreme – better data translates directly into better business value. Be sure you understand how those in different parts of the enterprise measure themselves, and tie the improvements in data quality to improvements in their overall success. Then communicate how to share the value of better data across business areas.

Recognizing the multifaceted nature of questions raised by people with a variety of business interests and perspectives will position you to design a sustainable approach to data quality. As you flesh out details in the data quality plan, include technical experts to work with your business analysts. Together, they can account for the data’s full spectrum of definitions and characteristics while engineering ways to fix and maintain it. The investment will pay off in the short run and for years to come.

 

SOURCE: https://www.sas.com/en_us/insights/articles/data-management/importance-of-data-quality-a-sustainable-approach.html

 

With respect.

 

Valuable lessons: The Importance of Data Literacy by Dataversity.

Foremost when it comes to data, we must learn to collect all the relevant data, then you should read, analyse, segregate, sometimes you have to delete it too. Apart from all, I personally see a few more steps to know and work more in data. When I started thinking about data, I see how to read the data and what to do further. To give a relevant example, when I started learning the R programming language, I collet the datasets to upload in R to Run. In the very initial moment, when I start downloading the dataset, I don’t know what to do. Then I started to keep looking a few datasets and started adjusting the values, filling the blank spaces, and even if I don’t know I delete the particular row or column too.

So here the data literacy plays. I started searching for the importance of data and how to read the data. Then I likely able to know the data literacy through one of this article. Once, if you started knowing how to read and execute the data. The next step would be yours.

I will paste source link down below. I sincerely encourage you all to visit further.

Written by Michelle Knight on March 12, 2019

Walk into a company embracing digital transformation and you’ll find monitors displaying colorful charts and pie graphs decorated with numbers. These dashboards show information about the business meant to assist employees in prioritizing work, seeing new opportunities, and driving efficiency.

An important question remains, though: “How many employees trained on a business’ dashboards know how to use the data and analytics to make them better at their jobs?” asked Jordan Morrow, Global Head of Data Literacy at Qlik, a visual analytics and digital transformation company, in a recent DATAVERSITY® interview. This question has led Morrow on a journey where he finds himself “leading a revolution around teaching people how to use data analytics better in a world taken by a data literacy storm.”

Why should a business care about data literacy when its employees can get by with some basic reports? Morrow responds that leading organizations like Amazon, Facebook, and Netflix go a step beyond by being extremely good at utilizing data, following trends, and analyzing that information. He explained:

“Upon talking to many individuals and organizations from every single continent, except Antarctica, they realize data is one of the best assets to harness. They know the key to success in what has been described as fourth industry revolution requires harnessing data’s power within an organization.”

Morrow firmly believes if an organization does not embrace this data and analytics upheaval, then it will not survive, “because the majority of organizations want in on the action.” However, based on a worldwide study with over 11,000 participants, Morrow found that only one out of every five people felt they were data literate. The results of the study have been published in a Data Literacy Index. “So, people have a software product positioned at their finger-tips where the greater majority do not have the data and analytical skills to use it well,” muses Jordan.

All People Need to Be Data Literate

Think of data literacy as a spectrum of related skills. Raul Bhargava and Catherine D’ignazio from MIT and Emerson College define data literacy as the ability to read, work with, analyze, and argue with data, notes Morrow. He elaborated:

“A data scientist uses the scientific method with data, a career path for a few people. But for organizations that want to utilize data, (1) reading, (2) working with, (3) analyzing, and (4) arguing with data form four key characteristics [of Data Literacy]. People can develop skills in these components to become better in this digital economy.”

For many organizations, nourishing data literacy skills in each employee will be well worth it. Morrow looked at 600+ public companies across the world. This assessment was commissioned with the Wharton School of Business and Qlik. Through statistical analysis, Morrow found that organizations with the top tier of data literacy had a greater enterprise value of three to five percent. This translated to hundreds of millions of dollars of value and better return on equity. Top tier data literate organizations also had a better return on sales and a faster time to market.

Getting Started with Data Literacy

Morrow believes the number one thing impeding data literacy is where to start. He has found “great enthusiasm towards data literacy and a bewilderment on where to begin.” He noted:

“In a world full of hyped up technologies – Big Data, Machine Learning, Artificial Intelligence – the majority of an organization’s employees are not going to tip-toe into these areas. However, most people in a company will use data. They forget this. In addition, people get stuck in an old-school way of doing thing, preventing them from embracing this technological era. A new approach to things is needed to get the DNA to flow through the organization.”

To give people a digital literacy starting place, Morrow has developed a strategy and framework enterprises can adopt. His Adoptive Framework outlines six steps towards a Data Literacy Program, a workforce assessment characterizing data literacy strengths and weaknesses, and suggested roadmaps towards learning data literacy. Morrow is happy to speak with companies that have questions about the framework or that would like help implementing it.

“Companies need to know how to drive a data literacy strategy in house, whether it’s for ten employees or 100,000 employees. This Adoptive Framework that I’ve built does that. The Adoptive Framework describes not how to change a company’s culture, but to evolve a culture towards being more data-informed in its business. I have companies run the framework’s six-step approach every three to six months to bring in more employees. You need to evolve your program.”

Morrow emphasized that his framework builds curiosity, skills on how to ask questions, and the mindset of how to be data literate. He advocates that if everyone were data literate, “fake news” would not exist.

Qlik has helped launch the Data Literacy Project built from this work within data literacy. Morrow directed Qlik’s own Data Literacy Program, developing over the course of two and a half years. Everyone has access to a “nice, robust set of online courses that help [people] understand this world of data and how to use it,” said Morrow. With this program, the Qlik team can to speak to data literacy, not just sell and support a product. Morrow remarked:

“Qlik as a whole strongly believes in bringing resources, materials, and things organizations can use easily to make the technology work. When you think of technology, one of the biggest hindrances in the world is poor adoption. Why? It is not the technology. People don’t know how to uses it, and this impacts access to a world of data.”

Qlik’s work with data literacy emphasizes theory and context so that the user can better understand data. Morrow rarely uses set formulas in his data literacy teaching, as that will do nothing. He travels the world, meeting with customers, prospects, and individuals constantly, speaking often about the Data Literacy Project. This community group links partners like Accenture, Cognizant, Experian, Pluralsight, the Chartered Institute of Marketing, and Data to the People as well as academic thought leaders.

The Data Literacy Project aims to ignite discussion and develop tools to shape a successful data literate society. From this ongoing dialog, industry leaders, Big Data customers, and students can advance their own and spread data literacy. As an open source project, the Data Literacy Project will continue to be developed and foster collaboration. This will get people in the mindset and mentality of using data more and using it better.

Conclusion

Jordan Morrow has seven takeaways for the reader who wishes to continue his or her data literacy journey:

  • To stay competitive in this digital world we’re living in, a company must utilize its data, its asset.
  • Organizations that have high data literacy are well ahead in leveraging their data compared to other organizations.
  • “One of the greatest ways an individual can start to get better with data and analytics is to become curious – start asking the question, why?”
  • Own the chart data in the dashboard that is put in front of you. Figure out why the data appears and where comes from.
  • Experiment with questions of the data to figure out questions that work and do not work.
  • When finding questions about the data that work or do not work, ask why that is the case.
  • Start reading books about data. To start, peruse Factfulness by Hans Rosling.

 

SOURCE: https://www.dataversity.net/the-importance-of-data-literacy/

With respect.

 

 

 

Valuable lessons: Your Data Is Worth More Than You Think by MIT Sloan Management Review.

Over the last just two years, I started getting more passionate about data. When I started watching a video from the World Economic Form regarding Fourth industrial revolution, I started noticing how digital transformation is skyrocketing. I deliberately started my keen interest on the Internet of Things, Artificial Intelligence and 3D printing too. To be honest in 3D printing, I don’t know how data works. To learn a fair view of those topics, I seen the term “Data”. Data matters here to learn. That is what makes to me to pursue the Data Scientist course.

So this is an article about data gives you views about data valuation with three basic reasons. I pasted the source link down below. I sincerely encourage you all to visit further.

About the Authors

With over 20 years in advanced analytical applications and architecture, John Akred is a recognized expert in the areas of applied business analytics, machine learning, predictive analytics, and operational data mining. He has successfully delivered applications using a wide range of architectural approaches — including stream processing, in-database analytics, complex event processing, real-time optimization, event-driven architectures, and more — at scale. He tweets @BigDataAnalysis. With a background in machine learning, Anjali Samani is adept at managing and delivering commercial data science projects across a range of industries. She has nearly a decade of experience as a quantitative analyst in investment management, focusing on financial modeling and risk analysis, and is passionate about enabling organizations to identify innovative solutions through effective use of data. Anjali tweets @AnjaliSamani.

Even when company leaders recognize that their data has value, they have difficulty measuring that value accurately — and it can cost them.

Data has become a key input for driving growth, enabling businesses to differentiate themselves and maintain a competitive edge. Given the growing importance of data to companies, should managers measure its value? Is it even possible for a company to effectively measure the value of its data? An increasing number of institutions, academics, and business leaders have begun tackling these questions, leaving managers with many alternatives for assessing the value of data. None are yet generally accepted, nor completely satisfactory, but they can help organizations realize more value from their data.

Why Is Data Valuation Important?

There are three basic reasons organizations want a good way to understand the value of their data. A good sense of value can help guide good decisions around direct monetization, internal investments, and mergers and acquisitions.

Direct Data Monetization

Many organizations are keen to monetize data directly by selling it to third parties or marketing data products. Inability to understand data’s value can result in mispriced products. Understanding the impact of exposing data to third parties on the value of a company’s data for indirect monetization can help guide the decision on whether to pursue explicit monetization. Today, despite an increasing recognition of potential benefit, most organizations are very conservative about what data they expose outside the enterprise. Good valuation approaches could help leaders understand if selling their data would really affect their competitive position or ability to realize their own benefit from it.

Internal Investment

Understanding the value of both current and potential data can help prioritize and direct your investments in data and systems. In our experience, most organizations struggle to articulate the relationship between their IT investments and business value generally. For data systems, the problem is particularly acute. Surveys report that only about 30% to 50% of data warehousing projects are successful at delivering value. Understanding how data drives business value can help you understand where you should be minimizing costs, and where you should be investing to realize potential ROI.

An ability to articulate data’s contribution to an organization’s overall value can transform the relationship between technology and business management. Chief experience officers (CXOs) charged with managing data report that their ability to articulate business value from data investments with rigor supported by the CFO results in more resources available to drive more positive outcomes for their organizations.

Mergers & Acquisitions

Inaccurate valuing of data assets can be costly to shareholders during mergers and acquisitions (M&A). Steve Todd, an EMC fellow, argues that data valuations can be used both to negotiate better terms for initial public offerings, M&As, and bankruptcy, and to improve transparency and communication with shareholders. Did Microsoft Corp.’s purchase price of LinkedIn Corp. include the value of LinkedIn’s data about professionals and companies? Did they survey potential uses of data in the combined company? The assumption that data’s value is captured only by sales and revenue figures may understate the overall value of a transaction to the benefit of the buyer — and to the detriment of the seller.

Current generally accepted accounting practices (GAAP) do not permit data to be capitalized on the balance sheet. This leads to considerable disparity between book value and market value of these companies, and a possible mispricing of valuation premiums. While internationally agreed-upon standards may emerge in the next five years, the Association of Chartered Certified Accountants (ACCA), the global professional accounting organization, is encouraging accounting companies to come forward with approaches. Wilson and Stenson provide an excellent review of accounting approaches that recognize and value intangible assets in general, and information assets in particular.

Existing Approaches Are Useful, But Limited

Methods for valuing data are varied. Most descend from existing asset valuation or information theory. Some attempt to attribute the value of business outcomes directly to data-driven capabilities. Like statistical models, all have limitations, but some are useful.

Dell EMC Global Services Chief Technology Officer Schmarzo developed the so-called “prudent value” approach, which values data sets based on the extent to which they could be used to advance key business initiatives that support an organization’s overall business strategy. This approach has two main advantages:

  • It provides ballpark valuation (or a range of values) for the data set derived from the financial value of the business initiative.
  • More important, it frames the data valuation process around the business decisions that need to be made to drive the targeted business initiative. It quantifies the ways in which different data sets might be utilized and the impact this could have on the success of the targeted business initiative.

Mapping data to valuable outcomes can fulfill many purposes of data valuation. It supports rigorous ROI arguments based on concrete business outcomes for IT investment decisions. It can also guide pricing direct monetization efforts by relating the business value of the decisions third parties use with respect to data to guide the price they might pay for access.

Some of the most comprehensive work on the subject of data valuation comes from Gartner Inc.’s Douglas Laney. Laney, vice president and distinguished analyst, Chief Data Officer Research, proposes “infonomics” as an economic discipline, arguing that information should be treated as an actual corporate asset — measured, managed, and deployed as if it were a traditional asset. Laney describes six different information valuation methods, three foundational and three financial.

The foundational methods are primarily aimed at businesses that wish to prioritize or create an aggregate of data quality characteristics to get a sense of what its relative or intrinsic value is. These methods force businesses to take stock of their data, how they are leveraging it (or not!), and ultimately articulate its value and evaluate what is and isn’t useful. Laney’s financial measures draw on methods to value intangible assets.

The biggest limitation of Laney’s approach is that it does not tie the value of information to its role in supporting business decisions. His approach is more likely to be useful for valuing data in M&A transactions.

Where to Start

While there is still room for significant improvement in how to value data, current methods can still be useful to enterprises. Organizations should begin efforts to:

  • Create management consensus on how to build business cases for IT investments in data, infrastructure, and capabilities.
  • Use data valuation to prioritize data investments.
  • Begin cataloging and estimating value from existing and potential data-driven capabilities to inform valuation on the public markets or in M&A transactions.

Organizations that become more capable of getting value from data will certainly realize benefits and competitive advantage. Developing the ability to understand data’s value, and contribution to outcomes, is an important part of delivering that value.

 

SOURCE: https://sloanreview.mit.edu/article/your-data-is-worth-more-than-you-think/

 

With respect.

 

 

Valauble lessons: The value of data by World Economic Forum.

Data is dominating. We started generating much more data than ever before. There is a reason for sharing this article. Although, there are several articles dealing with data. But this is also the most important one to look at it. We knew very well that we are living in a data ecosystem. There is no doubt about it.

What is happening with data?

So, this article says a fair view about data. I personally think this is the right time that we must give more attention to the value of data and our data too.

I’m gonna paste source link down below. I sincerely encourage you all to visit further.

The value of data:

Recently, Equifax, a US based consumer credit reporting agency that collects and aggregates information on over 800 million individual consumers and more than 88 million businesses worldwide, suffered a data breach of 143 million users. As a result, they’re facing a class action lawsuit of up to US$ 70 billion.

In 2015, an insurance company compensated its 75,000 users with $100 per person for breach of their personal data. These are just two of the several cases of data breach, which over the past few years have become a frequent occurrence. Alongside these developments, on 17 August, the Supreme Court of India passed a landmark judgment reinforcing the citizen’s right to privacy as a ‘fundamental right’. These incidents highlight the emerging issues surrounding data – its privacy, security and sovereignty. To discuss and resolve these issues, it is imperative to be cognizant about the value of data. In this age of hyper connected consumers, data is definitely the new age ‘oil’.

The question that this data revolution then presents is – who will be the winners and losers as the age of open data takes off? To arrive at a credible and satisfactory answer, it is important to analyse the value of data from different perspectives, that of an individual, corporations and government.

The individuals, who generate the bulk of the data, and are its rightful owners, end up sharing it, sometimes with explicit consent and many times with implied, but uninformed consent. Individuals trade their private data in the digital economy for more tailored choices – goods and services, free applications and software, but don’t reap any monetary benefits from this exercise. The recent “Right to Privacy” judgement in India gives citizens and consumers in India a constitutionally guaranteed avenue to undertake measures for protection from data misuse, unauthorised collection and removes omnibus permissions making irresponsible reckless data sharing difficult.

Corporations have been the greatest beneficiaries from this data revolution. In 2006, oil and energy companies dominated the list of top six most valuable firms in the world, but in 2016, the list is dominated by data firms like Alphabet, Apple, Facebook, Amazon and Microsoft. Platform companies and data-aggregators capitalize on individual data by selling to advertisement networks and marketers looking to target specific segments, influence buyer behaviour and make dynamic pricing decisions.

Governments are increasingly becoming data savvy and leveraging open data for improving quality of life of its citizens by better design and targeting of welfare schemes, data driven policies, and improving participative governance.

The world produces 2.5 quintillion bytes a day, and 90% of all data has been produced in just the last two years. To assess the value of data for stakeholders, it is important to differentiate between data, content and information. Data is simple, raw and unorganized facts and consists of basic subscriber information (BSI), transactional data and content data. Transactional data is information related to communication such as IP addresses, device information used by subscribers to communicate and content data is the substance, purport or meaning of a communication. BSI and transaction data are together known as non-content data and were traditionally lower in the value hierarchy as compared to content data, but the same has changed in recent times and non-content data has been seen to provide critical insights. When this data is organized, processed and given a context, it can be termed as information. It is this information that is leveraged by corporations and is critical in decision making.

Data can also be segregated on a degree of how open or private it is. The degree of openness depends on local and societal norms. Public data, like any other public good is characterized by its non rivalrous and non excludable nature. In India, voter data is public data where their name, age, gender, address of all eligible voters is available online. Private data is such information that can only be accessed by people who have a legitimate reason to access it.

A person’s income is private data and must be protected from unauthorized access so as to prevent its misuse. Finally, confidential data is data that is highly sensitive and fairly personal, such as a person’s voting preferences. Confidential data is usually independent and inaccessible by the government (with some exceptions) and corporations with the individual exercising full ownership.

There is no standard practice or formula set in place to assess the value of data, but many more nations are becoming conscious of the enormous value data economy is creating. According to the European Commission, by 2020 the value of personalized data will be 1 trillion euros, almost 8% of the EU’s GDP. As this trend grows, there will be increasingly growing conflict between the value of data and individual privacy and consent.

The fundamental issue will become “Who owns the data and has intellectual property rights on it”? The global data economy is pegged at $3 trillion and consumers also need to reap the benefits of their self generated data. Data does have value in understanding, predicting and influencing individual behaviour and decisions, but it is exactly this power that makes it dangerous. As the world moves towards a universal online presence and open data systems, it is important to keep discussing the issues surrounding open dataand work towards resolving them, as opposed to viewing and evaluating data through the sole economic lens of a commodity.

Written by

Vasudha Thirani, Policy Associate, #DigitalIndia Foundation

Arvind Gupta, Chief Executive Officer, myGov, Government of India

The views expressed in this article are those of the author alone and not the World Economic Forum.

 

SOURCE: https://www.weforum.org/agenda/2017/09/the-value-of-data/

 

With respect.

Valuable Poetry: Daddy by Sylvia Plath.

This poem supposed to be posted yesterday. But I started thinking more about affirmations. A bit deeper. Because I believe, every affirmation that I gonna write, I should follow the same affirmation whole day. This is the reason why I was thinking a lot.

Here the valuable poem comes;

ABOUT THE POET:

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Sylvia Plath was one of the most dynamic and admired poets of the 20th century. By the time she took her life at the age of 30, Plath already had a following in the literary community. In the ensuing years her work attracted the attention of a multitude of readers, who saw in her singular verse an attempt to catalogue despair, violent emotion, and obsession with death. In the New York Times Book Review, Joyce Carol Oates described Plath as “one of the most celebrated and controversial of postwar poets writing in English.” Intensely autobiographical, Plath’s poems explore her own mental anguish, her troubled marriage to fellow poet Ted Hughes, her unresolved conflicts with her parents, and her own vision of herself. On the World Socialist web site, Margaret Rees observed, “Whether Plath wrote about nature, or about the social restrictions on individuals, she stripped away the polite veneer. She let her writing express elemental forces and primeval fears. In doing so, she laid bare the contradictions that tore apart appearance and hinted at some of the tensions hovering just beneath the surface of the American way of life in the post war period.” Oates put it more simply when she wrote that Plath’s best-known poems, “many of them written during the final, turbulent weeks of her life, read as if they’ve been chiseled, with a fine surgical instrument, out of arctic ice.” Plath has inspired countless readers and influenced many poets since her death in 1963.

In the New York Times Book Review, former US poet laureate Robert Pinsky wrote, “Thrashing, hyperactive, perpetually accelerated, the poems of Sylvia Plath catch the feeling of a profligate, hurt imagination, throwing off images and phrases with the energy of a runaway horse or a machine with its throttle stuck wide open. All the violence in her work returns to that violence of imagination, a frenzied brilliance and conviction.” Denis Donoghue made a similar observation, also in the New York Times Book Review: “Plath’s early poems, many of them, offered themselves for sacrifice, transmuting agony, ‘heart’s waste,’ into gestures and styles.” Donoghue added that “she showed what self-absorption makes possible in art, and the price that must be paid for it, in the art as clearly as in the death.” Dictionary of Literary Biography essayist Thomas McClanahan wrote, “At her most articulate, meditating on the nature of poetic inspiration, [Plath] is a controlled voice for cynicism, plainly delineating the boundaries of hope and reality. At her brutal best—and Plath is a brutal poet—she taps a source of power that transforms her poetic voice into a raving avenger of womanhood and innocence.”

Born in 1932 in Boston, Plath was the daughter of a German immigrant college professor, Otto Plath, and one of his students, Aurelia Schober. The poet’s early years were spent near the seashore, but her life changed abruptly when her father died in 1940. Some of her most vivid poems, including the well-known “Daddy,” concern her troubled relationship with her authoritarian father and her feelings of betrayal when he died. Financial circumstances forced the Plath family to move to Wellesley, Massachusetts, where Aurelia Plath taught advanced secretarial studies at Boston University. Sylvia Plath was a gifted student who had won numerous awards and had published stories and poetry in national magazines while still in her teens. She attended Smith College on scholarship and continued to excel, winning a Mademoiselle fiction contest one year and garnering a prestigious guest editorship of the magazine the following summer.

It was during her undergraduate years that Plath began to suffer the symptoms of severe depression that would ultimately lead to her death. In one of her journal entries, dated June 20, 1958, she wrote: “It is as if my life were magically run by two electric currents: joyous positive and despairing negative—whichever is running at the moment dominates my life, floods it.” This is an eloquent description of bipolar disorder, also known as manic depression, a very serious illness for which no genuinely effective medications were available during Plath’s lifetime. In August of 1953, at the age of 20, Plath attempted suicide by swallowing sleeping pills. She survived the attempt and was hospitalized, receiving treatment with electro-shock therapy. Her experiences of breakdown and recovery were later turned into fiction for her only published novel, The Bell Jar.

Having made a recovery, Plath returned to Smith for her degree. She earned a Fulbright grant to study at Cambridge University in England, and it was there that she met poet Ted Hughes. The two were married in 1956. Plath published two major works during her lifetime, The Bell Jar and a poetry volume titled The Colossus. Both received warm reviews. However, the end of her marriage in 1962 left Plath with two young children to care for and, after an intense burst of creativity that produced the poems in Ariel, she committed suicide by inhaling gas from a kitchen oven.

Timothy Materer wrote in the Dictionary of Literary Biography, “The critical reactions to both The Bell Jar and Ariel were inevitably influenced by the manner of Plath’s death at 30.” Hardly known outside poetry circles during her lifetime, Plath became in death more than she might have imagined. Donoghue, for one, stated, “I can’t recall feeling, in 1963, that Plath’s death proved her life authentic or indeed that proof was required. … But I recall that Ariel was received as if it were a bracelet of bright hair about the bone, a relic more than a book.” Feminists portrayed Plath as a woman driven to madness by a domineering father, an unfaithful husband, and the demands that motherhood made on her genius. Some critics lauded her as a confessional poet whose work “spoke the hectic, uncontrolled things our conscience needed, or thought it needed,” to quote Donoghue. Largely on the strength of Ariel, Plath became one of the best-known female American poets of the 20th century.

The writer A. Alvarez, writing in The Savage God, believed that with the poems in Ariel, compiled and published by Hughes, Plath made “poetry and death inseparable. The one could not exist without the other. And this is right. In a curious way, the poems read as though they were written posthumously.” Robert Penn Warren called Ariel “a unique book, it scarcely seems a book at all, rather a keen, cold gust of reality as though somebody had knocked out a window pane on a brilliant night.” George Steiner wrote, “It is fair to say that no group of poems since Dylan Thomas’s Deaths and Entrances has had as vivid and disturbing an impact on English critics and readers as has Ariel. … Reference to Sylvia Plath is constant where poetry and the conditions of its present existence are discussed.” Plath’s growing posthumous reputation inspired younger poets to write as she did. But, as Steiner maintained, her “desperate integrity” cannot be imitated. Or, as Peter Davison put it, “No artifice alone could have conjured up such effects.” According to McClanahan, the poems in Ariel “are personal testaments to the loneliness and insecurity that plagued her, and the desolate images suggest her apparent fixation with self-annihilation. … In Ariel, the everyday incidents of living are transformed into the horrifying psychological experiences of the poet.”

In Plath’s final poems, wrote Charles Newman in his The Art of Sylvia Plath, “death is preeminent but strangely unoppressive. Perhaps it is because there is no longer dialogue, no sense of ‘Otherness’—she is speaking from a viewpoint which is total, complete. Love and Death, all rivals, are resolved as one within the irreversibility of experience. To reverse Blake, the Heart knows as much as the Eye sees.” Alvarez believed that “the very source of [Plath’s] creative energy was, it turned out, her self-destructiveness. But it was, precisely, a source of living energy, of her imaginative, creative power. So, though death itself may have been a side issue, it was also an unavoidable risk in writing her kind of poem. My own impression of the circumstances surrounding her eventual death is that she gambled, not much caring whether she won or lost; and she lost.”

As a very young poet Plath experimented with the villanelle and other forms. She had been “stimulated” by such writers as D.H. Lawrence, James Joyce, Fyodor Dostoevsky, Virginia Woolf, Henry James, Theodore Roethke, Emily Dickinson, and later by Robert Lowell and Anne Sexton. She has been linked with Lowell and Sexton as a member of the so-called “confessional” school of poetry. Ted Hughes noted that she shared with them a similar geographical homeland as well as “the central experience of a shattering of the self, and the labour of fitting it together again or finding a new one.”

At times, Plath was able to overcome the “tension between the perceiver and the thing-in-itself by literally becoming the thing-in-itself,” wrote Newman. “In many instances, it is nature who personifies her.” Similarly, Plath used history “to explain herself,” writing about the Nazi concentration camps as though she had been imprisoned there. She said, “I think that personal experience shouldn’t be a kind of shut box and mirror-looking narcissistic experience. I believe it should be generally relevant, to such things as Hiroshima and Dachau, and so on.” Newman explained that, “in absorbing, personalizing the socio-political catastrophes of the century, [Plath] reminds us that they are ultimately metaphors of the terrifying human mind.” Alvarez noted that the “anonymity of pain, which makes all dignity impossible, was Sylvia Plath’s subject.” Her reactions to the smallest desecrations, even in plants, were “extremely violent,” wrote Hughes. “Auschwitz and the rest were merely the open wounds.” In sum, Newman believed, Plath “evolved in poetic voice from the precocious girl, to the disturbed modern woman, to the vengeful magician, to Ariel—God’s Lioness.”

While few critics dispute the power or the substance in Plath’s poetry, some have come to feel that its legacy is one of cynicism, ego-absorption, and a prurient fascination with suicide. Donoghue suggested that “the moral claims enforced by these poems now seem exorbitant,” adding, “The thrill we get from such poems is something we have no good cause to admire in ourselves.” McClanahan felt that Plath’s legacy “is one of pain, fear, and traumatic depression, born of the need to destroy the imagistic materialization of ‘Daddy.’” Nevertheless, the critic concluded, “The horrifying tone of her poetry underscores a depth of feeling that can be attributed to few other poets, and her near-suicidal attempt to communicate a frightening existential vision overshadows the shaky technique of her final poems. Plath writes of the human dread of dying. Her primitive honesty and emotionalism are her strength.” Critics and scholars have continued to write about Plath, and her relationship with Hughes; a reviewer for the National Post reported that in 2000, there were 104 books in print about Plath.

Newman considered The Bell Jar a “testing ground” for Plath’s poems. It is, according to the critic, “one of the few American novels to treat adolescence from a mature point of view. … It chronicles a nervous breakdown and consequent professional therapy in non-clinical language. And finally, it gives us one of the few sympathetic portraits of what happens to one who has genuinely feminist aspirations in our society, of a girl who refuses to be an event in anyone’s life. … [Plath] remains among the few woman writers in recent memory to link the grand theme of womanhood with the destiny of modern civilization.” Plath told Alvarez that she published the book under a pseudonym partly because “she didn’t consider it a serious work … and partly because she thought too many people would be hurt by it.”

The Bell Jar is narrated by 19-year-old Esther Greenwood. The three-part novel explores Esther’s unsatisfactory experiences as a student editor in Manhattan, her subsequent return to her family home, where she suffers a breakdown and attempts suicide, and her recovery with the aid of an enlightened female doctor. One of the novel’s themes, the search for a valid personal identity, is as old as fiction itself. The other, a rebellion against conventional female roles, was slightly ahead of its time. Nancy Duvall Hargrove observed in the Dictionary of Literary Biography, “As a novel of growing up, of initiation into adulthood, [The Bell Jar] is very solidly in the tradition of the Bildungsroman. Technically, The Bell Jar is skillfully written and contains many of the haunting images and symbols that dominate Plath’s poetry.” Materer commented that the book “is a finely plotted novel full of vivid characters and written in the astringent but engaging style one expects from a poet as frank and observant as Plath. The atmosphere of hospitals and sickness, of incidents of bleeding and electrocution, set against images of confinement and liberation, unify the novel’s imagery.” Hargrove maintained that the novel is “a striking work which has contributed to [Plath’s] reputation as a significant figure in contemporary American literature. … It is more than a feminist document, for it presents the enduring human concerns of the search for identity, the pain of disillusionment, and the refusal to accept defeat.”

Letters Home, a collection of Plath’s correspondence between 1950 and 1963, reveals that the source of her inner turmoil was perhaps more accurately linked to her relationship with her mother. The volume, published by Plath’s mother in 1975, was intended, at least in part, to counter the angry tone of The Bell Jar as well as the unflattering portrait of Plath’s mother contained in that narrative. According to Janet Malcolm in the New Yorker, “The publication of Letters Home had a different effect from the one Mrs. Plath had intended, however. Instead of showing that Sylvia wasn’t ‘like that,’ the letters caused the reader to consider for the first time the possibility that her sick relationship with her mother was the reason she was like that.” Though Hughes exercised final editorial approval, the publication of Letters Home also cast a new and unfavorable light on numerous others linked to Plath, including Hughes himself. Malcolm wrote, “Before the publication of Letters Home, the Plath legend was brief and contained, a taut, austere stage drama set in a few bleak, sparsely furnished rooms.” Plath’s intimate letters to her family contain unguarded personal commentary on her college years, writing, despair, friendships, marriage, and children.

After Plath’s death, The It-Doesn’t-Matter Suit, a book for children, was also discovered among her papers and published posthumously. The story features Max Nix, a resident of Winkelburg, who happily acquires a modest “woolly, whiskery brand-new mustard-yellow suit.” Nicci Gerrard wrote in the Observer, “There’s no disturbance in the world of Winkelburg: even Max’s desire for a suit is as shallow and clear as the silver stream that runs like a ribbon through the valley.” Despite the lasting impression of Plath’s bleak art and early death, Gerrard concluded that “small pieces of happiness like this little book remind us of her life.”

Plath’s relationship with Hughes has long been the subject of commentary, not always flattering to Hughes. Feminist critics in particular tended to see in Plath’s suicide a repudiation of the expectations placed upon women in the early 1960s. Further criticism attended Hughes’s guardianship of Plath’s papers, especially when Hughes admitted that he destroyed some of Plath’s journals, including several written just prior to her suicide. Materer felt that Hughes’s control over Plath’s papers—a right he exercised only because their divorce had not become final—caused “difficulties” for both critics and biographers. Materer added, “The estate’s strict control of copyright and its editing of such writings as Plath’s journals and letters have caused the most serious problems for scholars.”

Since Hughes’s death from cancer in 1998, a new edition of Plath’s journals has been published, The Unabridged Journals of Sylvia Plath, 1950-1962.This exact transcription of the poet’s journals, from her earliest days at Smith College to the days of her marriage, has been published verbatim, down to her misspellings. “Uncritical admirers of Plath will find much here that is fascinating,” noted Oates. “Other readers may find much that is fascinating and repellent in equal measure.” Oates concluded, “Like all unedited journals, Plath’s may be best read piecemeal, and rapidly, as they were written. The reader is advised to seek out the stronger, more lyric and exhilarating passages, which exist in enough abundance through these many pages to assure that this presumed final posthumous publication of Sylvia Plath’s is that rarity, a genuine literary event worthy of the poet’s aggressive mythopoetic claim in ‘Lady Lazarus’—Out of the ash/I rise with my red hair/And I eat men like air.”

Hughes once summarized Plath’s unique personality and talent: “Her poetry escapes ordinary analysis in the way clairvoyance and mediumship do: her psychic gifts, at almost any time, were strong enough to make her frequently wish to be rid of them. In her poetry, in other words, she had free and controlled access to depths formerly reserved to the primitive ecstatic priests, shamans and Holymen.” The poet continued, “Surveyed as a whole … I think the unity of her opus is clear. Once the unity shows itself, the logic and inevitability of the language, which controls and contains such conflagrations and collisions within itself, becomes more obviously what it is—direct, and even plain, speech. This language, this unique and radiant substance, is the product of an alchemy on the noblest scale. Her elements were extreme: a violent, almost demonic spirit in her, opposed a tenderness and capacity to suffer and love things infinitely, which was just as great and far more in evidence. Her stormy, luminous senses assaulted a downright practical intelligence that could probably have dealt with anything. … She saw her world in the flame of the ultimate substance and the ultimate depth. And this is the distinction of her language, that every word is Baraka: the flame and the rose folded together. Poets have often spoken about this ideal possibility but where else, outside these poems, has it actually occurred? If we have the discrimination to answer this question, we can set her in her rightful company.”

Daddy

By Sylvia Plath

You do not do, you do not do

Any more, black shoe

In which I have lived like a foot

For thirty years, poor and white,

Barely daring to breathe or Achoo.

 

Daddy, I have had to kill you.

You died before I had time——

Marble-heavy, a bag full of God,

Ghastly statue with one gray toe

Big as a Frisco seal

 

And a head in the freakish Atlantic

Where it pours bean green over blue

In the waters off beautiful Nauset.

I used to pray to recover you.

Ach, du.

 

In the German tongue, in the Polish town

Scraped flat by the roller

Of wars, wars, wars.

But the name of the town is common.

My Polack friend

 

Says there are a dozen or two.

So I never could tell where you

Put your foot, your root,

I never could talk to you.

The tongue stuck in my jaw.

 

It stuck in a barb wire snare.

Ich, ich, ich, ich,

I could hardly speak.

I thought every German was you.

And the language obscene

 

An engine, an engine

Chuffing me off like a Jew.

A Jew to Dachau, Auschwitz, Belsen.

I began to talk like a Jew.

I think I may well be a Jew.

 

The snows of the Tyrol, the clear beer of Vienna

Are not very pure or true.

With my gipsy ancestress and my weird luck

And my Taroc pack and my Taroc pack

I may be a bit of a Jew.

 

I have always been scared of you,

With your Luftwaffe, your gobbledygoo.

And your neat mustache

And your Aryan eye, bright blue.

Panzer-man, panzer-man, O You——

 

Not God but a swastika

So black no sky could squeak through.

Every woman adores a Fascist,

The boot in the face, the brute

Brute heart of a brute like you.

 

You stand at the blackboard, daddy,

In the picture I have of you,

A cleft in your chin instead of your foot

But no less a devil for that, no not

Any less the black man who

 

Bit my pretty red heart in two.

I was ten when they buried you.

At twenty I tried to die

And get back, back, back to you.

I thought even the bones would do.

 

But they pulled me out of the sack,

And they stuck me together with glue.

And then I knew what to do.

I made a model of you,

A man in black with a Meinkampf look

 

And a love of the rack and the screw.

And I said I do, I do.

So daddy, I’m finally through.

The black telephone’s off at the root,

The voices just can’t worm through.

 

If I’ve killed one man, I’ve killed two——

The vampire who said he was you

And drank my blood for a year,

Seven years, if you want to know.

Daddy, you can lie back now.

 

There’s a stake in your fat black heart

And the villagers never liked you.

They are dancing and stamping on you.

They always knew it was you.

Daddy, daddy, you bastard, I’m through.

 

Sylvia Plath, “Daddy” from Collected Poems. Copyright © 1960, 1965, 1971, 1981 by the Estate of Sylvia Plath. Editorial matter copyright © 1981 by Ted Hughes. Used by permission of HarperCollins Publishers.

Source: Collected Poems (HarperCollins Publishers Inc, 1992

 

SOURCE: https://www.poetryfoundation.org/poems/48999/daddy-56d22aafa45b2

With respect.

 

74 THOUGHT PROVOKING QUESTIONS TO GET YOU PONDERING BY TRAVIS BENNETT.

Questions will lead to a better life. Well, some of the questions you need to ask yourself. A good and wise question makes you think more widely. If you are searching for an answer with the questions you have, life will shine too.

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If you notice my earlier blog posts, I raise questions a lot. For me personally, questions are making me a bit intelligent. If I raise a question, I immediately search for an answer. If I raise more and more questions, I could able to get enough clarity about what I want.

What I’m looking for?

How far I understood about the work?

If you have a lot of questions with unknown answers. That’s very good. It means that you started thinking more than ever before.

Even more, if you have thought-provoking questions, you will able to lead a balanced life. If you probably notice, I wrote a blog post on “An Art of balanced mode”. When time and year goes, I started realizing the most important word “Balance”.

Leading and balancing life is the most precious and crucial too.

Let’s start learning to arise the questions in a thought-provoking manner.

I started searching about provoking questions. Here, I got 74 Thought Provoking Questions to Get You Pondering by Udemy Blog. I will paste source link down below. Please visit further.

Sometimes you need to re-establish your balance. Perhaps you’ve just gone through a traumatic situation, or you’re feeling a little lost and don’t know where your life is headed. This course is excellent if you’re feeling like this as it gives you the strength to lead yourself in the face of setbacks. What it teaches is that the real strength you need to find, ultimately rests within you alone.No one else can give you this clarity, and it’s foolish to live your life depending on other people to do so.

This article will ask you many deep and thought provoking questions, which may be a little bit hard to answer. But work through each of them, and look inside to what you really feel and you’ll soon find you know what you’ll do. There are no right and wrong answers with these, their entire goal is to make you think, and give you a bit of a struggle as you may find it difficult to answer a few of them. If you need a little confidence before you get started, this course is a great boost, and teaches you how to take control of yourself, today.

  1. What are the things that stand between you and complete happiness?
  2. What will people say at your funeral?
  3. Standing at the gates of heaven, and God asks you “Why should I let you in?” What do you reply?
  4. If you lost everything tomorrow, whose arms would you run into to make everything ok?
  5. Does this person know how much they mean to you? When was the last time you told them?
  6. If you could send a message to the entire world, what would you say in 30 seconds?
  7. If you received enough money to never need to work again, what would you spend your time doing?
  8. If today was the last day of your life, what would you want to do?
  9. What would you change about your life if you knew you would never die?
  10. If your entire life was a movie, what title would best fit?
  11. How would you describe yourself in 5 words?
  12. What are the chances you’ve passed up on that you regret?
  13. How do you apply the learning from this regret to your actions today?
  14. What would you do differently if you knew that no one was judging you?
  15. If you could watch everything that happened in your life until now, would you enjoy it?
  16. If you could ask a single person one question, and they had to answer truthfully, who and what would you ask?
  17. If you could start over, what would you do differently?
  18. When you’re 90 years old, what will matter most to you in the world?
  19. Are you holding onto something that you need to let go of? What’s stopping you?
  20. Would you break the law to save a loved one?
  21. Do you ask enough questions, or are you happily settling for what you know already?
  22. How do you celebrate the things you do have in your life?
  23. When it’s all said and done, will you have said more than you have done?
  24. When was the last time you tried something new?
  25. What were you doing when you last lost track of the time?
  26. What is the difference between living and existing?
  27. If you had a friend that you spoke to the same way you speak to yourself, how long do you think that person would allow you to be your friend?
  28. If you had to teach someone one thing, what would you teach?
  29. What makes you smile?
  30. What drives you to do better at something?
  31. What do you really love to do? Do you do it often? If you answer no, why not?
  32. What can you do today that you couldn’t do a year ago? What will you be able to do at this time next year?
  33. What is the last thing that you’ve done that’s really worth remembering?
  34. What gets you excited and driven to achieve?
  35. When was the last time you travelled somewhere new?
  36. What do you want most out of life?
  37. If karma was coming back to you, would it help or hurt you?
  38. If you could go back in time, once, and change a single thing – what would it be?
  39. If you had a year left to live, what would you achieve over the next 12 months?
  40. If you could ask for one wish, what would it be?
  41. What do you “owe” yourself?
  42. When you think of your home, what immediately comes to mind?
  43. How do you spend the majority of your free time? Why?
  44. What did you want to be when you were a kid?
  45. What have you done to pursue your dreams lately? How about today?
  46. What terrifies you the most?
  47. What are you looking forward to?
  48. Describe the greatest adventure of your life
  49. Where would you like to live? Why haven’t you moved?
  50. What have you done that you’re most proud to have achieved?
  51. If you dropped everything to pursue your dreams, what would you be risking?
  52. What is your greatest strength?
  53. What is your greatest weakness?
  54. What did your life teach you yesterday?
  55. What have you done today to make someone’s life better?
  56. Whose life have you had the greatest impact on?
  57. What makes you special?
  58. How many people do you truly love? What are you doing for them?
  59. What bad habits do you want to break?
  60. When did you not speak up, when you know you really should have?
  61. Describe the next five years of your life, and your plans, in a single sentence
  62. If you spend a day watching movies when you should be working a day wasted or well spent?
  63. Would your life be better or worse, if you knew the time and place where you would die?
  64. What is honor, and does it even matter anymore?
  65. Would you be a martyr and risk your reputation by standing up for what is right in front of your peers? Or is it better to be pragmatic and do nothing?
  66. Could you be persuaded to kill someone? If you answer no, how much money would it take to change your mind?”
  67. What would happen if you never wasted another minute of your life, what would that look like?
  68. Would you rather have 10 years of excellent health, or 30 years of average health?
  69. Is being open-minded a virtue, if it’s causing destructive ideas to spread throughout society?
  70. Do you consider yourself the hero or the villain in your story?
  71. How much control do you really have over yourself?
  72. When did you last push the boundaries of your comfort zone?
  73. What have you given up on?
  74. Who are you really? Describe yourself without using your name, or any attributes given to you by society and really think. Deep down, who are you?

The philosopher from the French Enlightenment era, Voltaire, advises you to judge people by the questions they ask. You’ll get to know someone better if you’re asking them the right questions, and in the same light if you ask yourself the right questions, you’ll get to know you. This course has some great advice on getting to know how people tick, and learning more about yourself. If you’re up for a challenge this 10 day meditation course is great to help you get you mind in order, no matter what you’re thinking. After your 10 days are up, this recent post covers a wide range of meditation mantras that you can use to continue your journey. All you really need to do to make a change is to start asking yourself these questions and begin your own journey to discovering what really makes you, you.

 

SOURCES: https://blog.udemy.com/thought-provoking-questions/

With respect.

 

AGAIN MY 100-DAY STREAK:

This 100-day streak is the long-awaited one. And this is late too. My 100-day streak crossed ten days before. There is also a few set of posts inevitable. Quite frankly, there are hard times. Some of them are unexplainable. Still, I got the rhythm of writing.

I’m not targeting the numbers here, such as 100 or 1000. I should write every day. That’s what I see myself as a writer. No matter what, I should not give up. Because I don’t wanna lose the track. Again not the number, but the flow of writing that makes me feel like a writer.

Another most important track is let’s see how far I could able to write each and every day. I could challenge myself. Because I think is the third time, I’m writing 100 day streak. Felt odd. But, that’s okay. I could be happy and more determined to write a bigger picture than ever before.

Every time, when I complete the blog post. The happiness and sheer determination surround me. I could feel it.

Being an everyday writer, having a deliberate mindset to say about something valuable and sharing remarkable stories, pictures, articles, books, poems, Manager’s Manual, writings, entrepreneurship, technologies are crucial. Because my researching skills becoming good. I started finding more sources. I should not simply copy and paste as it is. But, I do have a motto, if I wanna write and share the content. I cannot do it simply for the catchy phrase or for the namesake.

Moreover, I should have a sense of purpose to write and share every post. Or else, the impact would be nothing. Readers could guess, this fellow is just writing and posting. Even more, quite honestly, I feel ridiculous, when I started writing new contents. Precisely, when I started about AI. I said in my earlier blog post, I started pursuing a Data Scientist course. I feel like, AI is also necessary to learn too. Here, I would like to learn AI. My target is to be very good at Data Scientist. On the other side, if you do start reading about AI and Deep Learning simultaneously. That will be very good.

Let’s see, how far I am able to write every day.

 

With respect.