Upcoming Webinars
DATE: May 22, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Master data management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key…
DATE: May 27, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Data lineage is one of the most in-demand capabilities for enterprise data teams — but most solutions fall short when it…
DATE: May 29, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Modernizing data platforms and breaking down data silos with Databricks is key to delivering the clean, high-quality data AI and analytics…
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Latest Blogs by Industry Experts

Read more about author Sudhi Balan. More and more organizations are adopting generative AI (GenAI)-powered chatbots that have the power to streamline operations by automating repetitive tasks to improve efficiency and lead to faster, data-driven decisions. The capabilities of these chatbots to achieve greater accuracy are continually expanding, raising the standard for them to deliver more precise outputs that effectively harness all valuable data. The problem is that many of…

Read more about author Shafeeq Ur Rahaman. The first time I was introduced to data governance, someone handed me a thick binder labeled “Data Policies.” It sat on my desk untouched for months. No one referred to it. No one followed it. It was a perfect symbol of what goes wrong when governance is reduced to paperwork without purpose. True data governance is more than policies – it’s how your…

Read more about author Guy Adams. Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these data products running, which inhibits growth and the ability…

Read more about author Samuel Bocetta. Anyone who’s spent time in the analytics trenches knows that reading about data frameworks is one thing – building dashboards that influence boardroom decisions is another beast entirely. While the white papers and conference talks have their place, real impact happens on the ground, where teams are wrestling with messy datasets, inconsistent reporting tools, and ever-shifting business priorities. This is where tactical analytics comes into…
Recent Articles

Shutterstock Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes…

TippaPatt / Shutterstock In the modern digital economy, data is a critical asset that, when properly managed, can drive innovation, insights, and competitive advantage. However, for organizations to leverage data…

Rachchanont Hemmawong / Shutterstock Imagine burning three trillion U.S. dollars. Businesses do this virtually every year because of poor data quality (DQ). In a data-driven age, organizations cannot afford to waste this…

The latest installment in our Q&A series with women leaders in data features Susan Featherston, MPH, senior strategic consultant for Vantage Technology Consulting Group. (Read our previous Q&A here.) Susan Featherston,…
What is...?

A large language model (LLM) is an advanced artificial intelligence system that understands, processes,…

A database management system (DBMS) describes a collection of multiple software services that work…

A data catalog inventories and makes critical datasets available through metadata management. This platform informs…

A Data Strategy is a reliable touchstone created by an organization for businesspeople to…

Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and…

Data Modeling describes the plans and activities around diagramming data requirements for business operations across…