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Automating Data Preparation in a Digitalized World, Part 1
Mar 10, 2016 by Barry Devlin in Information Architecture
ABSTRACT:
In an era of ever increasing volumes of ever dirtier data, the old concepts of data warehouses and ETL offer important lessons, but must be extended far beyond their current meanings. Data warehouse automation (DWA) offers new insights and directions, but like ETL, its name belies its true...
The Limits of Analytics: The Tale of the Red Sox, Hippos, and Groundhogs
Mar 03, 2016 by Wayne Eckerson in Data Strategy Insider
ABSTRACT:
If you believe the press, analytics is a business-oriented crystal ball and data scientists are the new high priests, dispensing prognostications worth millions. The reality is slightly different. Analytics is a useful tool for decision-making, but it’s not the only one. This article discusses...
Governed Data Discovery: Balancing Flexibility and Standards
Mar 01, 2016 by Wayne Eckerson in Data Strategy Insider
ABSTRACT:
This in-depth report shows how modern BI platforms blend the best of both top-down and bottom-up BI in a governed discovery environment that tailors self-service capabilities to business users based on their roles, responsibilities, proclivities, and skills. It concludes by providing a...
Change Management for BI Leaders: Three Keys to Success
Feb 19, 2016 by Wayne Eckerson in Data Strategy Insider
ABSTRACT:
BI leaders that underestimate the importance of managing change will never gain adoption for the BI solutions they develop, no matter how functionally rich or architecturally elegant. In this article,business intelligence (BI) guru Wayne W. Eckerson explains the three fundamental principles of...
The Much-Needed Business Facet for Modern Data Integration
Feb 18, 2016 by Julie Hunt in Knocking Down Silos
ABSTRACT:
Business users increasingly have the potential to utilize powerful capabilities to explore, manipulate and merge new data sources without IT support. There is obvious advantage to organizations to fully support and empower business users to work more directly in many aspects of data management.