Topics In Demand
Notification
New

No notification found.

Blog
A Data Governance Primer for Enterprises

February 27, 2021

227

0


Listen to this article



Data is the new oil, and its full value can be extracted only after processing it to achieve specific goals.

Large enterprises need to perform data-driven decision-making at scale, and this is only possible when the discovery, access, and consumption of data is operationalized. Implementing an effective data governance framework makes this possible by influencing and enabling overall data management.

Effective Data Governance depends on the sources of data, distribution, consumption patterns, and several other factors. What works for one enterprise may not be the best approach for others, and the first steps are always the hardest. Having a seasoned consulting and delivery partner can help smoothen the creases as you kickstart your Data Governance initiative.

To give you an overview of how enterprises are leveraging data governance strategies to bring value to their business, we have curated some prime pointers and core services that are balancing and driving data governance strategies.

Drivers

  • Data monetization – Leverage your data to boost topline revenue, strengthen customer engagement or improve your product or service
  • Compliance – Stay ahead of the curve on regulatory compliance
  • Risk Management – Effective Data Governance is your insurance policy to mitigate data-related operational risks

Core Services

  • Data Quality Management – Ensure that your business decisions are based on the most reliable data
  • Metadata Management – Drive change management and Data Discovery
  • Reference and Master Data Management – Get more organized with the power of classification and categorization

These pointers form a baseline to plan data governance for any enterprise. However, something that works best for one organization might not work effectively. To give you further visibility into the process, here are the best practices followed by enterprises to implement data governance policies.

7 Best Practices for Efficient Data Governance Strategy

  • Align data governance roadmap with the business goals as early in the process as possible
  • Define data standards & leverage technology to apply them throughout the process
  • Classify, standardize, tag, and reuse your data to meet your business goals
  • Ensure effective data management for unstructured data residing throughout an enterprise
  • Develop a team of individuals to carry out various data governance initiatives seamlessly
  • Define various metrics to measure the progress of data mapping
  • Automate to the hilt for smooth and error-free processes

That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


Calsoft is ISV preferred product engineering services partner in Storage, Networking, Virtualization, Cloud, IoT and analytics domains.

© Copyright nasscom. All Rights Reserved.