What is Data Governance?
is the process that ensures data is secure, private, accurate, available, and
usable. It involves the actions people must take, the processes they must
follow, and the technologies that support them. It can be described as a
principled approach to managing data during its life cycle – right from the
time it is acquired to when it is disposed of.
very quickly become a very valuable asset wherein managers and data owners need
timely data to make strategic business decisions. And this brings in the aspect
of compliance and the proof that data is being handled according to both
internal and external guidelines.
Big data and
digital transformation efforts are the primary drivers of data governance
programs. With the increase in data volume from new data sources, the Internet
of Things (IoT) technologies, and organizations need to consider their data
management practices. Effective data governance programs are focused on
improving the quality of data, while reducing data silos, and ensuring
compliance with an even amount of data being distributed.
A team taking
care of data governance may identify commonalities across disparate datasets.
But if they want to integrate them, they would be required to partner with a
data management team to define the data architecture to facilitate the integration.
Data Governance also sets the policies for data access which is specific to the
data or PII information.
as a concept is more a matter of people and processes as compared to technology
and tooling. In short, Data Governance sets clear standards and guidelines for
data processing while helping improve the quality of the data within the
Here are a few of the Benefits of Data Governance…
can help improve data accuracy and it impacts outcomes based on that data.
security, data privacy, and compliance:
governance policies provide a way to meet the demands of government regulations
regarding sensitive data and privacy. Violations of the regulatory requirements
can result in expensive government fines and public criticism. To avoid this,
companies adopt data governance tools to set guardrails, which prevent data
breaches and the misuse of data.
data: Data governance
ensures data integrity and accuracy. Errors in performance metrics can steer an
organization in the wrong direction but data governance tools can address potential
data analytics: Quality
data is the foundation for advanced data analytics and initiatives. This
includes business intelligence, reporting, or more complex predictive learning