Data Management for BI

Although very much linked to the technology environment, data management in business intelligence addresses the issues faced by the business community in using the data within their organization. Examples of data management deficiencies include low data quality, non-integrated enterprise data models, absence of data governance (data ownership/stewardship), and poor analytical and reporting capabilities.

Innovent Solutions consultants deliver their optimum value as liaisons between the business and IT communities, as exemplified by the example of poor data quality within an organization: business users will often complain that the data they require to perform their activities is not "good enough", and will naturally turn towards IT employees for a resolution to their issues. However, data quality often means something different to a business person than it does to an IT person.

With the goal of solving business issues with data, our services include the following:

• Governance: Establish policies and procedures to properly manage and utilize an organization's digital assets
• Enterprise Data Modeling (EDM): Unify the data structure and information processes within the organization, independently of its technical infrastructure
• Data Quality Programs: Design and establishes a set of procedures to ensure a set level of quality standards are consistently met within the organization
• Profiling: Inspect data for errors, inconsistencies, redundancies and incomplete information
• Quality: Standardize and verify data
• Integration: Match, merge or link data from a variety of disparate sources
• Augmentation: Enhance data using information from internal and external data sources
• Monitoring: Check and control data integrity over time