Upcoming Webinars
DATE: February 2, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose.…
DATE: February 7, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh…
DATE: February 9, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return…
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Latest Blogs by Industry Experts

Read more about author Kartik Patel. What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and augmented analytics tools to enable analysis and understanding of the data within the enterprise systems. The “democratization” component relates to the “who.” Who gets access to the data? The simple answer is: everyone. In an environment where intelligence and information are democratized, the IT and management team set…

Read more about author Wilko Visser. The number of organizations undertaking digital transformation initiatives continues to grow as businesses seek to increase profits using digitization and automation. The potential impact of digital transformation can be significant, so the stakes are high, as is the value of available data. According to IDC, $1.8 trillion will be spent on digital transformation in 2022, an increase of nearly 18% over 2021. Nearly 70% of those transformation projects…

Read more about author Dean Allemang. It is tempting, when pursuing a project that requires heavy use of data, to focus just on that particular project. Collect or locate the data needed to answer the question at hand, work out the conclusions based on that data, act on the conclusions, and discard the data. But there has been a growing awareness, both in scientific investigation and in business, that this…

Read more about author Thomas Frisendal. One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt. Will we, in 2023, be better at not creating so much data debt, and will it be because we can come to know stuff easier (knowledge graphs) or…
Recent Articles

In our digitally obsessed economy, it’s become all too prevalent for knowledge workers to assume that data problems are best solved with newer and better tech. In fact, the most…

This article highlights 10 of the biggest trends triggered by technological advancements in artificial intelligence (AI) and machine learning (ML). These trends have collectively revolutionized the way businesses approach everything…

ThoughtWorks consultant Zhamak Dehghani created the concept of data mesh as a self-serve, domain-oriented design that later evolved into a data-as-a-product design. By integrating and analyzing data from disconnected systems…

Data catalogs and Data Governance work together and intersect in some very useful ways. Data catalogs communicate information about an organization’s data assets, and where they are located. Data Governance,…
What is...?

Database Management allows a person to organize, store, and retrieve data from a computer.…

A data catalog centralizes access to all of an organization’s available data assets through…

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

Data Strategy describes a “set of choices and decisions that together, chart a high-level…

Data Governance (DG) is a collection of components – data, roles, processes, communications, metrics,…