Dirty Data Lakes and Dubious Analytics

Jan 22, 2015 by Barry Devlin in Information Architecture

ABSTRACT:

We have entered a period of history where information has become super-abundant.It would be wise, to consider all the ways this information can be misinterpreted or abused.Through ignorance, so-called confirmation bias, intention to deceive, and a dozen other causes, we can mislead, be misled, or...

Hidden Costs of Duplicate Data

Jan 22, 2015 by Dan Power in Information Governance

ABSTRACT:

A client asked me once about what rate of duplicate data was “normal” in customer master data. My initial answer was that, among companies that don’t have any formal master data management, data governance or data quality initiatives in place, duplication rates of 10%-30% (or more) are not...

Five Essential Elements of MDM

Jan 22, 2015 by Dan Power in Information Governance

ABSTRACT:

I think you can boil a successful Master Data Management (MDM) initiative down to these five essential elements:(1) A hub of some type – there are three major types of MDM hubs. In a Persistent Hub, all of the critical data is copied from the source system into the hub. In a Registry Hub, only...

BI Benefits in Reach for SMBs, But Some Effort Required

Jan 22, 2015 by Lyndsay Wise in Midmarket Analytics

ABSTRACT:

Successful BI for small and midsize businesses isn’t just about implementing software. They have work to do before deployments to make sure systems will be readily adopted and produce valid results.The business intelligence (BI) market is flooded with software packages targeted at small and...

Secrets of Successful Data Governance

Jan 22, 2015 by Dan Power in Information Governance

ABSTRACT:

Now that we have talked about the role of organizational change and education, readiness assessment, developing a strategic roadmap, creating a business case, and designing the Data Governance initiative before trying to execute on it, it’s time to talk about the implementation process itself.At...