Are Predictive Analytics Truly Predictive?

whitePaper | January 20, 2023

Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.

whitePaper | October 27, 2022

Data governance is on everyone’s mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of “ghosts,” or implicit knowledge existing within any organization that never makes it to documentation. Ghosts affect companies in both data and people spheres, making it challenging to modernize legacy architectures or bring new talent on board. Even more, it makes using data a challenge.

whitePaper | December 1, 2022

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whitePaper | August 25, 2022

Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

whitePaper | December 13, 2022

Modern Data Analytics Platforms (DAP) have gone through rapid architectural pattern changes over the past few years, independent of the use cases, to provide maximum benefits to the consumers.

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.