BI Data Governance strategy can essentially improve the returns from enterprise Business Intelligence (BI) investments. BI Data Governance sets the blueprint for managing data assets of an organization, which includes many layers such as the operational framework, architecture, and the processes.
Data governance is a management of data concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include
- Data integrity
- Data security
It also includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality and ensuring that the data which an enterprise has and it can be used by the entire organization.
Data governance encompasses the processes, people, and information technology either online or offline required to create a consistent and proper handling of an organization’s data across the business enterprise.
The way to begin this highly monitored and structured Data Management strategy is to standardize the use of terminology across business units and enforce consistency of use. The final goal of BI Data Governance is to facilitate a “unified and consistent view of information” across the enterprise for advanced Business Intelligence activities.
BI Data Governance in Media Circles
Data Governance has not created a scope in the media as Big Data or sensor-driven data has.
Although the Data Governance is relatively unnoticed in the business circles and in the broad media world, it’s low visibility does not take away from the reality. In a data-driven environment, businesses can never realize the full potentials of their tools and data technologies unless the data is well governed.
Enterprise Data Management
The danger of providing Advanced Analytics tools to business users is that their limited data and data technology knowledge may lead to inconsistent data definitions, data interpretations, and metrics across working teams.
Data in enterprises are stored in widely disparate repositories such as databases, Data Marts, Data Warehouses, or in operational systems, which should be managed via strict, standardized policies and procedures for effective BI outcomes.
Data Governance for Self-service BI
BI Data Governance ensures a seamless, quick and friendly Data Analytics environment for these mainstream users. As the unique impact of a Self-service BI environment depends Data Quality, an effective enterprise DG strategy is required to mitigate the negative effects of quality issues.
Data, which is inaccurate, inaccessible, or untrustworthy, is of no use to an average business user. In the best case scenario, probably both the BI environment and the data will require continuous governance and monitoring.
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