Data Governance

Identifying data storage and processing requirements. Designing structures and plans to meet the current and long-term data requirements of the enterprise. Strategically prepare organizations to quickly evolve their products, services, and data to take advantage of business opportunities inherent in emerging technologies.

Document an understanding of different perspectives, which leads to applications that more closely align with current and future business requirements, and creates a foundation to successfully complete broad-scoped initiatives such as master data management and data governance programs.

Manage availability of data throughout the data lifecycle. Ensure the integrity of data assets. Manage performance of data transactions.

Enable appropriate, and prevent inappropriate, access to enterprise data assets. Understand and comply with all relevant regulations and polices for privacy, protection, and confidentiality. Ensure that the privacy and confidentiality needs of all stakeholders are enforced and audited.

Provide data securely, with regulatory compliance, in the format and timeframe needed. Lower cost and complexity of managing solutions by developing shared models and interfaces. Lower cot and complexity of managing solutions by developing shared models and interfaces. Identify meaningful events and automatically trigger alerts and actions. Support business intelligence, analytics, master data management, and operational efficiency efforts.

To comply with legal obligations and customer expectations regarding records management. To ensure effective and efficient storage, retrieval, and use of documents an content. To ensure integration capabilities between structured ad unstructured content.

Enable sharing of information assets across business domains and applications within an organization. Provide authoritative source of reconciled and quality-assessed master and reference data. Lower cost and complexity through us of standards, commo data models, and integration patterns.

To build and maintain the technical environment and technical and business processes needed to deliver integrated data in support of operational functions, compliance requirements, and business intelligence activities. To support and enable effective business analysis and decision making by business users.

Provide organizational understanding of business terms and usage. Collect and integrate metadata from diverse sources. Provide a standard way to access metadata. Ensure metadata quality and security.

Develop a governed approach to make data fit for purpose based on data consumers’ requirements. Define standars, requirements, and specifcations for data quality controls as part of the data lifecycle. Define and implement processes to measure, monitor, and report on data quality levels. Identify ad advocate for opportunities to improve the quality of data, through process and system improvements.