Providing guidance to ensure that data is accurate, consistent, available and secure is the focal point of data governance.
Optimal data governance is achieved through the enterprise-wide communication of a compelling vision for change, setting achievable performance targets and allocating appropriate enterprise resources. The vision is supported by the senior management and business sponsors of the data governance initiatives.
A successful data governance approach integrates the processes, people and technology needed to manage data effectively and efficiently. It begins with an enterprise-specific model consisting of defined roles and responsibilities. Adhering to the complexities of enterprise business rules, policies and standards is an essential role of data owners and includes maintaining and applying these standards as data is created. While data stewards do not own the data, they are the caretakers and are accountable for the management of data assets by ensuring data is understood, used and shared effectively. Data owners and data stewards must be provided with the knowledge, training, tools, forums and processes to be effective in their jobs.
To manage data assets, enterprises need to establish both high-level and detailed rules and procedures. These data policies might include the adherence of data to business rules, enforcing authentication and access rights to data, complying with laws and regulations, and protecting data assets.
The precise criteria, specifications and rules for the definition, creation, storage and usage of data within an organization are referred to as data standards. These range from basic items like naming conventions, number of characters and value ranges to more complex standards such as quality measures, retention rules and backup frequency.
Expedien brings a deep understanding of the complexities involved with implementing a data governance strategy.
Having worked with numerous different types of corporate organizations and cultures ranging from large regional companies through huge multinational organizations, our Data Management & Architecture professionals recognize the importance of incorporating the range of unique business requirements of each enterprise to develop a data governance approach that will be sustainable for the long term and will lead to a higher level of business performance.
Data Governance is the key to successful Master Data Management.Data Governance programs aim to achieve high data quality, consistent data definitions, increased data security, coordinated effort among others. Master Data management is about managing the master data to achieve the goals of high quality, increased security, data share-ability, data reuse, exposure to data warehouse and business intelligence, reduce infrastructure costs among others. Data Governance provides structure for an MDM solution. A well defined Data governance program can initiate and assist in implementing a Master Data Management solution successfully.Download View Abstract