Data analytics is a fast-moving field that considers sets of information to help leaders develop informed decisions in all types of organizations.

Radiant Advisors' John O'Brien outlines the components of a modern data architecture in this clip from his presentation at Data Summit Fall Connect 2020.

Organizations that invest in analytics without an aligned data & analytics strategy are burning money in the name of data. Here’s how you can create a successful data strategy that delivers value.

SEE: Data Governance in Entertainment (TechRepublic) Can you use BI, AI, and data analytics together? Analytics and AI can be integrated into a larger BI framework, but they don’t have to be.

Quentin Gallivan, CEO of Hitachi Data Systems™ Pentaho subsidiary, has said government agencies should develop a œcentralized plan that seeks to leverage the use of business analytics tools and ...

With the Climate Data Analytics Framework (CDAF), Leidos provides solutions for climate data operations to government and commercial customers.

Here’s their four-stage framework for data analytics, presented in order of both increasing complexity and increasing value to the athlete or coach: Descriptive: What happened?

His proposed framework emphasises the right combination of standardised data integration, advanced preprocessing, hybrid modelling, and ethical safeguards to move healthcare predictive analytics ...

When the number of problem statements runs into the hundreds, it's important for analytics leaders to follow a pragmatic approach to prioritize analytics use cases.