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

erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. For more information on GDPR/CCPA, we’ve also published a white paper on the Regulatory Rationale for Integrating Data Management and Data Governance.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

MARCH 29, 2022

Slow requirements led technology leaders to demand proactive business intelligence. As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests. Parting Words.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Jet Global

MARCH 5, 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). The post AI vs. BI for Business, What Do You Need? Download Now. 1] [link]. [2]

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

CIO Business Intelligence

OCTOBER 26, 2022

Speaking at industry events, connecting with colleagues, and writing articles and white papers are just a few of the ways CIOs can build their brand. Pursuing IT opportunities that don’t fully align with business objectives can prove fatal to a CIO, says Cole South, co-founder of Synchronize, an e-commerce solutions provider.

IT 141

IT Consulting Experimentation Digital Transformation 141