THE FIRST ON-DEMAND ADVERTISING PLATFORM

December 30, 2018

This white paper shall not and cannot be considered as an invitation to enter into an investment. It does not constitute, nor relate in any way, nor should be considered an offering of securities in any jurisdiction. This white paper does not include or contain any information (or indication that might be considered as a recommendation, or that might be used as a basis) for any investment decision. WBY are only intended to be utility tokens which can be used only on the WeBuy platform and are not intended to be used as any form of investment. The offering of WBY on a trading platform is done in order to allow the access to use of the WeBuy platform and not for speculative purposes.

Spotlight

Data Science Foundation

The Data Science Foundation is a professional body representing the interests of people working in the data science and advanced analytics sector. Its membership consists of practitioners and suppliers who offer a range of analytical and technical services, companies with an interest in the commercial advantages gained through the analysis of big data, universities who are developing our understanding of data science and their associates, the next generation of data scientists. The foundation aims to raise the profile of data science in the UK, to educate business people about the benefits of knowledge-based decision making and to encourage firms to make optimal use of their data.

OTHER WHITEPAPERS
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atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

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Trellix Data Protection

whitePaper | August 2, 2022

The volume of data has exploded across all sectors in the last decade. Enterprise data has grown enormously, and organizations must contend with more unstructured data than ever. In fact, 95 percent of businesses cite the need to manage unstructured data as a challenge.

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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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Why Graph is Key to The Modern Master Data Management Movement

whitePaper | August 1, 2022

The Graph database is fundamental to driving a much-needed breakthrough in the world of Master Data Management (MDM). Until now, traditional MDM systems have imposed strict rules and structures on how these projects are managed. This has cost enterprises dearly in terms of wasted time and resources and has been a major contributory factor to the failure of many MDM initiatives. Graph has changed all of that, allowing modern MDM platforms to completely redefine how master data is prepared for insight and used to deliver tangible business outcomes.

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Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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Spotlight

Data Science Foundation

The Data Science Foundation is a professional body representing the interests of people working in the data science and advanced analytics sector. Its membership consists of practitioners and suppliers who offer a range of analytical and technical services, companies with an interest in the commercial advantages gained through the analysis of big data, universities who are developing our understanding of data science and their associates, the next generation of data scientists. The foundation aims to raise the profile of data science in the UK, to educate business people about the benefits of knowledge-based decision making and to encourage firms to make optimal use of their data.

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