Upcoming Webinars
DATE: May 31, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves data management…
DATE: June 7, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar The explosive growth of data and the value it creates calls on data professionals to level up their programs to build, demonstrate, and maintain trust.…
DATE: June 9, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Maturity frameworks have varying levels of information management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line…
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Latest Blogs by Industry Experts

Read more about author David Mariani. Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface to data that serves a variety of use cases and user…

Read more about author JG Heithcock. Cyber resilience is a top concern for businesses in every industry. A key reason for this is that businesses of all sizes continue to face an ever-increasing array of cyber threats including ransomware, malware, and spear phishing. Ransomware is a particularly pernicious problem and a huge threat to organizations worldwide. According to Cybercrime Magazine, the collective cost globally of damage done by ransomware was approximately $20…

Read more about author Angsuman Dutta. A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable data fuels algorithms, operational processes, and effective decision-making. Existing…

Read more about Jaimie Kowalski. The supply chain business is evolving incredibly rapidly – particularly when it comes to how it uses technology. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend. Almost all respondents, 97% or greater, said they plan to increase their…
Recent Articles

Peter Aiken disagrees with the popular idea that it’s impossible to put a dollar value on Data Architecture. “It won't be the right number, but it will be at least…

Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety of applications and databases. It acts…

In the years since COVID-19 hit and swiftly shut down most in person experiences, the wellness industry had to quickly adapt to a new way of life. While this has…

Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can…
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 is a collection of components – data, roles, processes, communications, metrics, and…