37 Resources found:
Data Governance Councils and Data Stewards: You Can't Have One without the Other
This white paper provides an overview of data governance councils and data stewards, two entities that must be in place in order for any data governance program to succeed.
A Ten Step Plan for an Effective Data Governance Structure
By following the steps in this white paper, business and IT leaders will improve data quality, reach business goals, and ultimately, avoid the costs associated with bad data.
Understanding Type 1 and Type 2 Errors
Organizations are becoming increasingly aware of the importance of high quality data to the success of critical business initiatives.
Planning for Successful M&A Data Integration
M&As can be an effective way to improve sales and marketing efficiency by expanding the organization's customer base and market share.
Master Data Management Asking the Right Questions Before Implementation
Because of the wide-ranging implications of MDM, the cost of implementation, and the potential for obstacles along the way, there are many questions that need to be asked and answered before embarking on an MDM implementation.
Getting Data Quality Projects Started - Part 2
This paper presents some of the most common tactics used to justify a data quality initiative, present a strong business case, and get approvals from senior executives.
Getting Data Quality Projects Started - Part 1
The causes and symptoms of poor data quality are well known. This paper documents many of the most common at a high level.
Five Ways Data Governance Delivers Business Value
This white paper provides an overview of five ways an enterprise can benefit from implementing a data governance program.
Customer Data Integration In Weeks Not Years
Hundreds of organizations across the country have discovered an alternative data integration methodology that both eliminates the need to “tune” the software and slashes the time required for manual review by up to 90%.
Top Ten Tips for Implementing Master Data Management
MDM has reached an early maturity stage where the lessons of past implementations may now be passed along to the practitioners of today’s and tomorrow’s implementations.
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