Data Confidence® Maturity Model
Data Confidence® is achieved through the maturing of four core enterprise data management processes: Governance, Architecture, Assurance, and Sharing. This methodology provides our clients with actionable solutions to address “Big Data” challenges. With an end-to-end suite of solutions, KGS provides clients with improved enterprise-wide data quality, mature process for maintaining authoritative data, mechanisms to ensure data are secure and trusted, and the tools needed to share information across the enterprise or with other organizations.
Data Governance is a coordinated set of policies, standards, processes, people, agreements, and tools to mitigate data risks and maximize data value. Perhaps the most critical element in the Data Confidence process, governance spans across the other core elements to:
- Establish accountability & responsibility for managing data
- Develop and enforce policy
- Maintain processes
- Guide the people responsible for managing data
This is the framework of the successful data warehouse, complete with a repository of shared enterprise definitions and data models, information exchange standardization and information security.
This element promotes common understanding of the data and promotes Integrity, Privacy, and Security of data assets.
Sharing determines the optimum blend of process and technology to make data readily available to anyone with a legitimate need for it.
Lack of maturity in data governance can leave the federal enterprise vulnerable to a number of risks, all of which ultimately impact the quality and timeliness of services to the citizens:
- Limited enterprise situational awareness
- Weak collaboration
- Questionable data quality
- Data security risks
- Limited strategic thinking and planning
- Unreliable predictive analysis
- Data silos
- Data incongruity
- Limited information sharing
- High maintenance costs (redundant data centers, applications, and databases; unknown architectural dependencies)