Big Data Governance. Taking control of Big Data

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Big data governance helps establish usage policies and implement controls that ensure information remains accurate, consistent and accessible.
Big data governance is a process that provides a framework for establishing usage policies and implementing controls designed to ensure that information remains accurate, consistent, and accessible . In the case of big data, data governance presents a significant challenge as data must be categorized, modeled, and mapped as it is captured and stored, with the drawback that it is largely unstructured in nature. Big data governance can help organizations make the most of their big data.







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The decisive role of Big Data
We care about data, we are interested in information, but can we control it? Do we know amazon database to protect it? Are we capable of determining the limits of its use? With Big Data we can access it in a totally new and, in a certain way, overwhelming way, but it would be of no use to us without governance. Big Data Governance is the governance of information and, with Big Data , its role becomes even more decisive due to:

Single Customer View : How do we combine this newly acquired customer data with everything else we've accumulated to create a broader understanding of the customer? Old data, newly acquired data, it all counts, but not all of it counts equally. This is where Big Data Governance comes in , helping you use much more information about each customer and manage it effectively. Its role is of great importance since you now have access to the most complete data on how customers use your products for their communications, content and/or commerce needs and that's why you need to:
Have a clearer idea of ​​the origin of the information.
Prioritize some versions over others, some data over others.
Determine what information needs to be accumulated and what does not.

Veracity of information : a way must be found to homogenize the information obtained so that it can be used with confidence. Here, Data Governance is concerned with managing the different levels of data quality, since each of them comes from a variety that could be called "partial" and therefore intervenes to:

Set the rules of the game.

Ensure its correct application.

Define the levels of importance that will help structure the information .

Working to ensure data reliability.