Education Resources For Use & Management of Data

RWDG Slides: Selecting the Right Data Governance Approach

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This presentation was given in a live webinar on November 20, 2014 Real-World Data Governance: Selecting the Right Data Governance Approach from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> This Webinar is Sponsored by: About the Webinar There are numerous approaches to delivering a Data Governance Program. Some people will…

Jan 20 EDW Webinar: Mastering & Referencing Data for the Enterprise

EDW Webinar Series

DATE: January 20, 2015 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Developing and implementing a master record and reference data through a best practice approach and lessons learned for your organization’s data business needs. The ability to leverage the immense data available across an organization has…

EDW Webinar: Data Quality for Data Modelers

EDW Webinar Series

This presentation was given in a live webinar on November 18, 2014 Enterprise Data World Webinars: Data Quality for Data Modelers from DATAVERSITY  To view just the slides from the presentation, click HERE>> About the Webinar Data Quality begins with the conceptual model. It’s imperative that the modeler not only acknowledges data must be quality…

EDW Slides: Data Quality for Data Modelers

EDW Webinar Series

This presentation was given in a live webinar on November 18, 2014 Enterprise Data World Webinars: Data Quality for Data Modelers from DATAVERSITY  To view the On Demand recording of this presentation, click HERE>> About the Webinar Data Quality begins with the conceptual model. It’s imperative that the modeler not only acknowledges data must be…

Machine Learning Will Make Its Mark On The Sciences

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by Jennifer Zaino In a data-deluged world, novel science depends on putting Machine Learning into practice. That’s a lesson being taught by Joshua Bloom, and one that he also practices in his work as professor of astronomy at UC Berkeley. “We absolutely have to see as our imperative putting machine learning or machine intelligence or…

The Ease of Business Analytics

AgileAnalytics

by Jelani Harper For the past several years, there has been a substantial amount of rhetoric in the field of Data Management pertaining to empowering the business user through better business analytics. Numerous vendors, research companies and even trade publications have cited an emerging trend to put the business in control of its data, granting…

Data-Ed Webinar: Metadata Strategies

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This presentation was given in a live webinar on November 11, 2014 Data-Ed Online Webinar: Metadata Strategies from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Good systems development often depends on multiple data management disciplines that provide a solid foundation. One of these is metadata. While much of…

Data-Ed Slides: Metadata Strategies

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This presentation was given in a live webinar on November 11, 2014 Data-Ed Online Webinar: Metadata Strategies from DATAVERSITY To view the recording On Demand, click HERE>> About the Webinar Good systems development often depends on multiple data management disciplines that provide a solid foundation. One of these is metadata. While much of the discussion…

The Business Value of Cognitive Computing

business value of cognitive computing

by Jelani Harper IBM Watson occupied center stage at IBM’s recent Insight 2014 conference. As a number of speakers from diverse industries and organizations revealed at a session entitled “Putting Cognitive Computing to Work: What Will You Do with Watson?” Cognitive Computing has been primed to deliver the enterprise business value. Cognitive Computing is the…

Degrees of Data Structuring – Again

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by Michael Brackett Data management is faced with a large and growing lexical challenge.  Many terms are created that do not have roots, prefixes, or suffixes applicable to data management.  Many terms are used, misused, abused, and abandoned when their usefulness is over.  Many terms are undefined or multi-defined and have no denotative definitions that…