Before implementing a data observability solution, it is important to understand the benefits and risks associated with a data observability implementation. Organizations need to understand the benefits and challenges to...

This is a guest post by Bill Inmon Bill Inmon is an American computer scientist, most often referred to as the father of the data warehouse. Inmon wrote the first...

Analyze call center data quickly and easily with drill-down processing. Read Bill Inmon's advice on using data to improve your call center's performance.

Better data literacy helps support better data pipeline development due to increased knowledge across the organization.

we answer the question: how does ELT work?

Data assets can be leveraged across business domains, making it easier to share costs and increase benefits. Instead of limiting data access or increasing the number of silos, a more...

Bill Inmon discusses various end-user expectations for building a new computer system and how the data warehouse architecture can fulfill these expectations.

What are data integration and data analytics, and why is data integration such a key component of companies’ data analytics workflows? Read more in our article.

Too many teams focus on the movement of data and creating data pipelines without aligning those activities to business outcomes.