Data Governance Build-Up

Data is now a new capital for business. It is used as the basis to make any management and operation-related decisions at all levels of the organization and in all functional areas. The more efficient the data governance and analysis process, the higher the quality of management decisions. This results in less mistakes, lower financial losses, and the reduced equipment downtime and delays in the supply. Growing volume and variety of data create certain challenges with data governance both for the IT and the business. Without an adequate Data Governance strategy, organizations will face a huge amount of information that is difficult to use and analyse, thus resulting in lost benefits or lower operational efficiency of the business.

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Data quality management is a suite of tools for data management and data quality improvement (Data Governance & Data Quality). Data Governance makes it possible to convert big data arrays into information to be further analysed and used for management decision-making.

Building up a Data Governance system will allow your business to benefit from the integrated approach to big data governance:

Ensure data transparency and availability by simplifying data search and creating cross-system reports
Improve data quality: by structuring data to make it possible to identify quality parameters of individual categories and develop metrics and mechanisms for their tracking
Ensure proper control over primary data entry from data validation to data segmentation, storage, and enrichment in corporate systems
Implement master data management (MDM): data duplication elimination and data consolidation and enrichment
Ensure abnormal data is systematically detected and corrected in a timely manner – setting up quality rules, data profile, data structure, and data links
Create information systems – dashboards for data quality monitoring
Ensure data integrity to build up optimization models and predictive models based on artificial intelligence technologies and machine learning

Metinvest Digital has experience in the implementation of Data Governance systems and will help you organization to:

Conduct an audit of the existing data management process and system in the organization
Take inventory of data and prepare a complete list of information resources with relevant metadata
Develop a roadmap for the implementation of Data Governance
Classify data into structured and non-structured data and organize data according to these categories
Implement a single system to manage, clean up and verify metadata
Ensure data is split into categories according to the role model and approved by data owners
Develop and implement a public register of reports containing information about all reports available in the data warehouse

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Data Governance Build-Up

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