A Data Governance initiative is about instilling the concept of managing data as a corporate asset. It is a set of processes to manage enterprise data as a corporate asset and to ensure that business activities use and access data in a simple, uniform, consistent manner.
Data Governance provides organizations with a framework for identifying, managing, and implementing appropriate controls around personal data processing activities. It is designed to help organizations maintain an accurate inventory of processing activities, establish, and apply documented controls around PII usage, and manage data retention requirements.
Advanced Data Governance Framework
Define the policies and the actionable controls that should comply with regulatory rules and applied to source data to check the quality of the data through the governance process.
Business Glossary is considered as the heart of Data Governance. Define metadata consisting of standard data definitions and documentation of them bridging the gap between IT and business.
Create source data connection and map the source data by adding the predefined rules to the Data Asset which consists of a group of Critical Data Elements as per business requirement and configure the existing Governance process to check the Data quality of the source data.
Transforming data from a multitude of systems into one single, accurate record through the match-merge concept that helps organizations to identify and resolve duplicate entity records and achieve ‘golden record’.
It gives the Data quality trust index score of the selected Data Asset. Users can view the different types of reports related to Data Assets and the Critical Data Elements attached to the Data Asset.
Prioritize areas for business improvement
By targeting an area of the organizational structure to act and ensure accountability business improvement can be achieved.
Maximize availability of information assets
Increase the availability of information assets with an industry-standard and open integration architecture/ Information asset needs to be accessed in real-time.
Create Rules, Roles, and Responsibilities
Organizations must define who does what with data, creating roles, responsibilities, and rules for the process people use in working with information.
Improve and ensure information asset integrity
Ensure that our set processes work for you by continuously improving and ensuring the integrity of information assets by Data profiling, parsing, data standardization, data enrichment, and data monitoring.
Establish an accountability infrastructure
Our Processes hold people accountable for information assets and provide them with the technology they need to ensure the integrity of the assets remains high.
Convert to a master data-based culture
It is the high-value information an organization uses repeatedly across many business processes; Master data exists everywhere in an organization.
Develop data analysis mechanism for process improvement
Allows for continual process improvement. Monitoring information assets over time gives a clear picture of how initiatives are performing and provides a way to graphically depict both successes and failures in the process.
Having high data quality standards and using validated data, businesses can take fast and correct decisions, increasing their overall outcome.
Cohesive customer experience is gained by a better understanding of the customers and their needs by viewing them holistically.
You can automatically detect duplicate records and create a “golden record” for your key master data objects with lightning speed.
Data Governance implementation protects your operations, processes, and information. This can accelerate cost reductions by 40%.
With total business integration by placing data in one central location, processes can be accelerated by increasing the efficiency and reducing the wait times.
Customers are provided with access to valid data, thereby leading them to analyze complex information easily, and be able to make tough business decisions with ease.
Governance compliance is achieved through the data governance process which is inbuilt by considering the business controls related to data privacy, data security, and data quality reporting as per data governance regulatory norms.
Our solution not only automates the process of obtaining error-free governed data but also saves an enormous amount of time.
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