THE CHIEF DATA OFFICER’S GUIDE TO DATA DEMOCRATIZATION

November 30, 2018

In this 21st century of Digital Transformation, Data is the new oil, which holds an immense untapped potential in it. Every second, individuals as well as organizations are generating data records in humungous amount in the form of documents, images, videos, social messages, search queries, news and so on, leading to a piling up of at least 2.5 quintillion bytes per day. This ‘Big Data’ is touching every business and life on earth now. It holds the potential to increase the business efficiency, augment the customer experience and reduce the cost.

Spotlight

Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

OTHER WHITEPAPERS
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Preparing data for analysis using R

whitePaper | June 28, 2017

Cleaning and preparing data makes up a substantial portion of the time and effort spent in a data science project—the majority of the effort, in many cases. It can be tempting to shortcut this process and dive right into the modeling step without looking very hard at the data set first, especially when you have a lot of data. Resist the temptation. No data set is perfect; you will be missing data, have misinterpreted data, or have incorrect data. Some data fields will be dirty and inconsistent. If you don’t take the time to examine the data before you start to model, you may find yourself redoing your work repeatedly as you discover bad data fields or variables that need to be transformed before modeling. In the worst case, you’ll build a model that returns incorrect predictions—and you won’t be sure why. By addressing data issues early, you can save yourself some unnecessary work, and a lot of headaches!

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FROM BIG DATA TO BIG BUSINESS

whitePaper |

Big Data literature abounds; this is a sure sign that Big Data’s importance is strongly felt by the market as a whole and across the world. However, even in cases where documentation is of high quality, it is usually mostly descriptive in nature and focused on exaggerated, near-apocalyptic concerns associated with the exponential growth in data and data sources.

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Tourist search engine specialized in providing unique travel experiences

whitePaper | February 5, 2018

The purpose of this White Paper is to present Cubaaz and CC Token to potential token holders in connection with the proposed Token sale. The information set forth below may not be exhaustive and does not imply any elements of a contractual relationship. Its sole purpose is to provide relevant and reasonable information to potential token holders in order for them to determine whether to undertake a thorough analysis of the company with the intent of purchasing CC Tokens. Nothing in this White Paper shall be deemed to constitute a prospectus of any sort or a solicitation for investment, nor does it in any way pertain to an offering or a solicitation of an offer to buy any securities in any jurisdiction. This document is not composed in accordance with, and is not subject to, laws or regulations of any jurisdiction, which are designed to protect investors.

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AI-d ven Transforma on in the Insurance Industry

whitePaper | January 25, 2019

The Insurance industry is on the brink of complete digital transformation. Traditional business models are giving way to new paradigms like Connected Insurance, Usage-based Premiums, and Smart Underwriting. Insurance customers are seeking on-demand, personalized experiences. The types of risks being covered are also evolving, presenting fresh business opportunities for insurers to reimagine their business by building a digital-enabled core to deliver sustainable operational efficiencies.

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Big Data: Overhyped or Underexploited?

whitePaper |

The honeymoon of business and Big Data is over. Lately, Big Data has been the target of a bit of backlash, including from the New York Times, Harvard Business Review, Wired and the Financial Times. That’s probably because we’ve reached a moment of truth—a point where, early vision aside, companies must figure out conclusively how to use Big Data analytics in profitable ways.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Spotlight

Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

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