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Imagine being handed several years of financial transactions, employee records, emails, and system reports as part of a fraud investigation or legal dispute. Where do you even begin? I've spent decades working with complex business systems, and one thing I've learned is that the most revealing information isn't always in the reports someone hands you. Sometimes it's in the transactions behind those reports. Sometimes it's in the relationships between records that were never i

𝐓𝐡𝐚𝐭 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐚𝐥𝐰𝐚𝐲𝐬 𝐦𝐞𝐚𝐧 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲 𝐢𝐬. I've spent much of my career looking at data and asking a fairly simple question: 𝘋𝘰𝘦𝘴 𝘵𝘩𝘪𝘴 𝘮𝘢𝘬𝘦 𝘴𝘦𝘯𝘴𝘦? That's also an incredibly useful question during a merger or acquisition. Traditional due diligence can tell you a great deal about a company. But sometimes the interesting things aren't sitting neatly in a financial statement or contract. They're buried in the underlying data. A strange c

Working with an agile coach can provide numerous benefits to data projects by helping teams implement agile methodologies and principles...

Our founder Cher Fox (The Datanista), CDMP really enjoyed this candid conversation with Saul Gomez of SAB Podcasts about her career...

A functional data warehouse (FDW) is a type of data warehouse that is organized around specific business functions, rather than being...

A logical data warehouse (LDW) is a modern data architecture that provides a unified view of data from different sources, without...

Continuous Integration (CI) and Continuous Delivery (CD) are software development practices that involve the continuous integration and...

A data lakehouse is a new data architecture that combines the best features of data lakes and data warehouses. It is designed to address...

A data fabric is an architecture that aims to provide a unified and consistent view of data across an organization's various systems,...

Data Mesh is a relatively new approach to data architecture that emphasizes decentralization and domain-driven ownership of data. The...

A data lake is a centralized and scalable repository of raw and unstructured data, designed to support a wide range of big data and...

The purpose of data warehousing is to provide a centralized and integrated repository of data that is designed to support business...

Data engineering is a field of computer science and engineering that focuses on designing, developing, and managing data-related systems...

A #datastrategy consultant is a professional who helps organizations develop a comprehensive data strategy that aligns with their overall...

An Agile Transformation Coach is responsible for leading the transformation of an organization from traditional, siloed, and hierarchical...

The role of a #datasponsor is to provide leadership, support, and resources for a data project or initiative. The data sponsor is...

The role of a #dataowner is to have ultimate responsibility for the data within an organization. The data owner is responsible for...

A data steward is responsible for managing the organization's data assets and ensuring that data is accurate, complete, and consistent....

This is the last session I will cover from the Rocky Mountain Information Security Conference (RMISC) conference June 7 - 9! Joe...

More coverage from the Rocky Mountain Information Security Conference (RMISC) conference a couple weeks ago! Michael Wright, of Nelnet,...