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Information Quality

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Maturity model guides evolution of business intelligence success

Unlocking the power of information

Poor data quality is both costly and common. Concerns mount as the sheer volume of enterprise data explodes. So, what is the key to solving this growing problem?

Good business intelligence starts with good information quality processes—and the belief that managing information quality is an ongoing process, not a one-time project.

Driving better business outcomes through data quality

Business Intelligence Information Quality Services from HP can take your organization well beyond traditional data cleansing and profiling.

Drawing on our deep experience and applying comprehensive approach, we provide practical solutions that unleash the full potential of your data:

Master data management defines the foundation—establishing a common, consistent, enterprise-wide view of master data that describes people, products, facilities and other tangible business touch points based upon:
- Master data strategy
- Data mapping solution
- Integration of master data with both operational and analytical systems
- Data stewardship support through workflows
- Change management provisions
- Customized education and training assessment
Metadata management captures the context—providing usage context for data, applications and processes and the relationships among them through:
- Strategy assessment
- Definition and discovery
- Architecture and design
- Repository evaluation
- Repository implementation
- Testing and deployment
Data quality and governance provide the oversight—bringing together BI stakeholders in a data governance structure to create a framework for effectively managing data quality cross-functionally and enterprise wide through:
- Principles of operation to protect data integrity and minimize risk
- Policies regarding governance
- Processes to promote good project management and process automation
- Standards and tools for maintaining data quality
- Ongoing guidance