Building Making It Happen
Building Making It Happen
  Sign-in         Register
    
Principles and Rules Listing Page
Sponsor for a Data Quality Program
Have a P&L owner or a CFO to be the sponsor for a Data Quality Program and it should be owned by a business role, preferably a Data Steward.
 
This page of 'Principles and Rules' is linked to:  Data Quality,


If a business owner does not own it, the Data Quality Program will die an early death. Head of Internal Control, Head of Audit, Head of Quality can be important contributors to a Data Quality Program, but should avoid being a sponsor.

Execution-MiHInstitute.com is a strong advocate of business ownership of Data and its quality (and not IT). In that spirit a data quality program or a major data quality initiative, should be sponsored by the business owner. If there are data quality issues, which are traversing more than one function or could be having a regulatory or compliance or financial implications, CFO or head of control/Audit could be a right stakeholder.

While we have the sponsorship from a business owner/CFO/head of controls & Audit, a similar focus need to be for the next level. A business program manager should lead the program ably a functional team of IT and operational owners. We recommend the role of a data steward to have that ownership.

   Access more details on this page   

Quick Feedback- Was this information helpful ?
Relevant Links to this page
TOPIC - Data Quality Program Analyze Phase and Business case Closure → Practice Tools → Data Monitoring Request Form → Principles & Rules → Data Quality is a subject of business ownership and not of IT-ownership → Principles & Rules → Don't create a hype on Data Quality Program. → Practice Techniques → Business Case for Data Quality → Principles & Rules → Data Quality is not Perfect Quality → Principles & Rules → Engage the Vendors in Data Quality Program → Practice Techniques → How to get more data along with Sales leads → Practice Techniques → Ask for dates instead of number of years → Principles & Rules → How to Maximize the effectiveness of Data Stewardship → Practice Techniques → Field Tips Series#1- Data Mapping and Assessment → Principles & Rules → Data Management Standards for Data Entities will be a mix of collaboration and top-down → Principles & Rules → Data Management standards for data entities are not only for IT systems → Principles & Rules → Cascade your standards and guidelines to business partners and Vendors → Principles & Rules → Data quality assurance and control guidelines are no-brainer. Publish one immediately and evolve thereafter. → 
 
Back
Featured Pages
OLAP in Business Intelligence- What is OLAP?
BI Cost-Reduction- Open Source
Metadata Architecture Design
Business Intelligence Metadata Management and Program

Make 'Executable' Strategy
Maximize Results
Maximize People
Manage Execution

Featured Pages
Data Quality Gaps Management Tool
Data Monitoring Request Form
Dimensional Attributes+ Facts + Source Matrix
Data Quality Approach Finalization