Business Intelligence Best Practices -

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Articles - Data Governance

Ten Mistakes to Avoid When Building a Data Quality Program
by David Loshin
C-level executives are finding themselves personally accountable for both the levels and processes associated with data governance and quality assurance.

Data Monitoring: Add Controls to Your Data Governance and Compliance Programs
by Tony Fisher
With data monitoring, you can embrace techniques that will help you maintain the highest data-quality standards over the long haul.

2007 Best Practices Award Winner: UMB Bank
During a growth phase, UMB aligned their tools and technologies to fit their business model, which enabled UMB associates to become customer-centric.

Framing Business Intelligence Governance
by Beth Leonard
The reality of a good governance framework is that it must include both the tactical boundaries and consistency outlined by the frame, as well as the strategic vision and interactive partnerships offered in the environment beyond.

Taking Data Quality to the Enterprise through Data Governance (Report Excerpt)
by Philip Russom
Get ready for enterprise data quality. It will improve many business and technical processes, if you’re open to its diversity and give it necessary organizational structure.

How Mature is Your Data Management Environment?
by Tony Fisher
This article examines the Enterprise Data Management Maturity Model, which helps companies identify and quantify their data maturity, and assess the risks of undervalued data management practices.

Data Quality for Enterprise Risk Management
by Vikram Ramchandra, Sreedhar Srikant
By developing a data-quality program focused on business initiatives and treating data as a true enterprise asset, high-quality data for initiatives such as ERM can be assured.

Building a Data-Centric Organization
by Majid Abai
Our main objective is to identify a needed paradigm shift for organizations regarding data, its importance, and its value.

The Four Components of BI Governance
by Deanne Larson, Denise Matney
No doubt about it—business intelligence (BI) is complicated. The objective of BI seems relatively straightforward—using data to advance your business. It sounds easy, yet very few companies reach their own BI maturity goal.

Gauging Your BI Maturity for Sarbanes-Oxley
by Kevin Graves
You will see where your company stands on the BI maturity continuum and grade your organization in seven SOX-related measures.

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