erwin

NOVEMBER 16, 2021

But of course, business applications have complex databases behind them, and those databases need to go along for the ride. Several of the key considerations focus on alignment – to standards, to business objectives and among team members.

Modeling 52

Modeling Unstructured Data Digital Transformation Business Objectives 52

Jet Global

MARCH 5, 2019

Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels. This also helps business functions avoid unnecessary data logjams and gives instant access to the data they so desperately require. The post AI vs. BI for Business, What Do You Need?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Jet Global

AUGUST 14, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube). Download this white paper! From AI to BI: Understanding AI in Business.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube). Download this white paper! From AI to BI: Understanding AI in Business.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Occam's Razor

NOVEMBER 15, 2010

Go download the white papers. you get a sense for whether the site's delivering on its business objectives. This site simply engages in one night stands, and while I can think of some sites where that can still be the basis of a long term sustainable business model. Funnel Visualization.

Reporting 139

Reporting Metrics Strategy Measurement 139