This can be complicated, especially if the person who created the original scripts no longer works for the organization. Which data do you hold? Which source systems do they come from? Where is your data stored?Īs simple as this may sound, in some cases it might mean having to look into old hand-coded scripts that are currently extracting the data, perhaps performing transformations and then moving the data from the source system to one or more target systems. It all begins with an overview of your current data landscape. With that, let’s take a look at a complete five-step process that you should follow. In this way, automation enables your organization to benefit in the largest possible extent from the business value that can be found within your data. Such automation would let you and every employee working with your data focus on the analysis and data usage part, freeing you from the more tedious, repetitious tasks to IT technology solutions. Some of the measures also suggests that you might benefit from adding some degree of automation to your current BI and analytics environment. If, for example, it scores you as being heavily manually driven, as well as unable to anonymize and aggregate, then you’ll know where to focus your attention on.
Evaluate this methodology piece by piece and in order to determine your company’s current state. To get an overview of the process of obtaining a GDPR-compliant BI and analytics solution, walk through the topics of the compliance indicator diagram as show below. The Compliance Indicator – Solid Overview
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