IBM Cognos Data Quality Rapid Assessment Service
Data Quality for Performance Management
Your performance management initiatives depend on quality data. The IBM Cognos Data Quality Rapid Assessment Service focuses on data quality issues that may affect the success of your performance management project.
This five-day service engagement:
- Lets you see the data quality issues that need to be addressed.
- Gets you started with your ongoing data quality strategy.
- Helps you reduce project risk from poor data quality.
- Educates business leads on data quality and shows them how to improve it.
Approach
The service has three work streams:
The service's major deliverable is a preliminary Data Quality Assessment that suggests best practices and makes concrete recommendations.
Data Quality Discovery & Analysis
Cognos assesses your data quality using a targeted data set. This helps you:
- Begin the process of applying data quality business rules with analysis — assessing the cleansing processes and standardization, understanding data grouping and matching.
- Implement a data quality strategy and understand the business rules for your data quality goals.
- Assess your data quality risk on the project, and recommend how to improve data quality across the organization.
Data Quality Framework
This stage helps you:
- Improve project planning and sharpen your projections of resources and time required.
- Plan your data quality strategy to match existing design, development, and testing processes of your project.
- Develop a risk assessment and data quality strategy by understanding hidden data quality issues.
Data Quality Scorecarding
The Data Quality Scorecard(s) help you:
- Capture and communicate data stewardship and data management strategies with stakeholders.
- Review and define data quality metrics for those responsible for overall data quality.
- Engage business owners with early results to create a wider awareness and buy-in for your data quality strategy.
Deliverables
You will receive a data quality preliminary assessment report that provides:
- Insight and guidance on how successful customers apply Informatica software and methodology for data quality.
- Benchmarks and examples to establish a baseline set of data quality processes.
- Concrete recommendations and next steps on preparing data for specific data projects, meeting industry data regulations, and maximizing the value of data.
- Documented "Next Step" business rules and data quality recommendations based on the findings uncovered during the assessment.