We all know what good data governance looks like. It’s compliance with industry regulations like PIPEDA, FedRAMP, and ISO 27001. It’s the management of risks like the inadvertent release of sensitive data or the risk of financial errors. It’s the methods and measures put in place to control who has access to information and what, precisely, they are allowed to do with the data they can get.
Data governance is, in a nutshell, any process your organization undertakes to exercise control over the processes by which it handles its data. It could be a business rule, an industry requirement, or even the data integrity measures built into the data model itself. It is the method by which you ensure that your data meets the standards, both internal and external, that you deem important.
For most companies, their data governance is largely driven by the need to comply with industry regulations. Regulation compliance and financial accuracy are important, to be sure, but by no means are they the only reasons you should have a robust data governance plan in place.
Good data governance takes into account risk management, access to information, and data quality. It’s about identifying and preventing issues before they become a problem.
But great data governance is about empowering your people.
When you implement technologies that make it simple for each and every one of your people to gain access to the data that will help them become more efficient and more effective at their jobs, everyone wins.
When you’ve improved the processes to the point where you have increased consistency and improved confidence in decision making, everyone wins.
When you’ve maximized the potential for generating income from your data while minimizing staff ineffectiveness and rework, everyone wins.
This is an exciting time in the world of business intelligence and analytics. Now more than ever, the technologies exist to help businesses of all sizes take advantage of the huge amounts of data generated by their business every day.
While the challenges of doing business haven’t changed much in the past few years, the way we understand and meet those challenges has undergone a revolution. Traditional highly specialized and highly centralized information analytics teams are being disrupted by technologies that expand access to analytics through self-serve BI. The result? Empowered employees across the organization, improved customer experiences, and previously undiscovered opportunities for profit.
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