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27 Sep, 2017

Building a Rock Solid Data and Analytics Strategy

27 September, 2017
Patricia L. Saporito
Analytics

Every organization’s analytics strategy should be connected to its data strategy; and every organization should have a data strategy that supports its business strategy Introduction Like the lyrics in the children’s song Dem Bones, “the hip bone’s connected to the thigh bone”, your data strategy is connected to your analytics strategy – or it should be! Further, your analytics strategy

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1 Oct, 2010

Increasing the Business Value of Business Intelligence

01 October, 2010
Mark Mosely
Data Warehousing / Business Intelligence / Analytics

Organizations can find increased value in business intelligence and analytics efforts through the use of various data delivery strategies. Introduction Like many organizations, your company probably has invested significant time, effort, and money into establishing your data warehousing and business intelligence environment.  You’ve built the databases and the ETL programs to move, clean and in

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1 Oct, 2008

Agile Framework for Managing and Measuring Enterprise Business Intelligence

01 October, 2008
Karthikeyan Sankaran
Data Warehousing

To be agile, business intelligence and analytics systems need frameworks and metrics to enable stable evolution. Introduction Enterprise Business Intelligence and analytics solutions are complex implementation efforts because of the Develop – Support (Growth-Sustain) cycles followed concurrently. Every enterprise wide BI system continuously evolves over a period with new business functionality

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1 Jan, 2006

Enabling High Quality Analytics through a Data Validity Dimension

01 January, 2006
Pete Stiglich
Data Warehousing

Using a specialized data validity dimension in a data warehouse design can support data quality and analytics capabilities. Introduction While working on an Enterprise Data Warehouse for a state court system the issue of poor data quality in the source systems became apparent.  Referential integrity was not strictly enforced and there was very little in the way of attribute level constraints. 

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1 Oct, 2002

Data Mining

01 October, 2002
Larissa Moss
Data Warehousing

Data mining is a powerful analytical activity that can be used with data warehouses and with operational systems, yielding valuable insights. Introduction Data mining is often confused with "writing lots of reports and queries," when in fact data mining activities do not involve any traditional report writing or querying at all.  Data mining is performed through a specialized tool, which executes

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View Our Podcasts

DMU provides regular podcasts of our best webinars, expert speaking events and our 3 minute Data Management Moment teaching videos.

The First Steps in Building a World Class Data Management Program

Date : 18 Jan 2018, Time : 1:00 PM, USA/Chicago
Presenter:David Marco
Registration Opens December 11, 2017.

During this webinar international speaker and bestselling author, David Marco will walk us through the key first steps needed in building a world-class data management program.

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Watch our 2 - 3 minute Data Management Moment teaching videos to learn the very finest data management best practices.

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