Importance of Data Governance and its Principles

3 min read

While running a huge enterprise it is imperative that the data by any means necessary needs to be Protected with utmost care and security, in Today’s evolving world where each and everything you look at or store is in the form of data of some sort where a few examples could be social media, phone applications, cloud storage, customer databases everything in and around us right now is susceptible to any kind of data or security breach leaving the millions and billions worth data in wrong hands.

Thus, we all as individuals are strongly encouraged to bring in a few rightful practices or governance that could help avoid such massacre of data breaches that causes it to fall into the wrong hands. So let’s all practice hard to protect, secure, and abide by all the governance designed to protect against any kind of data infringement, breach, or exploitation of millions or billions of consumers who consume data in any form in life.

In 2021, organizations experienced a massive increase in cyber security breaches, even exceeding 2020’s startling numbers by 17 per cent.

The benefits of remote/hybrid work are undeniable, but IT leaders must mitigate the potential new security risks.

Over the past two years, we have seen an increase in data leakage, access control, and device theft. Organizations should follow a clinical cyber security framework for remote & hybrid working environments which should be updated and modernized.

Let’s look at some astonishing number of users getting affected due to these breaches

A data governance framework specifies who has the right to take what actions, by using what data and in what situations. Using data governance, an organization ensures that information is used effectively and efficiently to meet its objectives by following processes, roles, policies, standards, and metrics

Big data is the new gold, and companies are not going to take it away from them. Data must always be handled with care, right from storage to usage to security. In any other case, it can be misused by the wrong individuals.

There are laws and rules that govern how data is handled. It should be handled with care and in an unbiased manner. One of the prime examples could be that of The Cambridge Analytica scandal that had already affected the Facebook universe and Zuckerberg. Nevertheless, there are rules and laws that govern it, just as there are for anything else of similar value. With these, you can ensure that your enterprise is protected against most threats while handling large amounts of data.

Each of these principles is vital to the success of any form of data governance and discipline because they guarantee that data at any stage of sharing and consumption is not breached or hacked unethically, preserving its integrity and authenticity of it. This must be observed and taken care of by big enterprises that have multiple levels of security and therefore adhere to the norms of good data governance at the global level

So? What are these rules? How are they implemented? There are seven of these principles that govern how the data is used.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.