Actionable Data Mapping
Data was once considered “stationary,” but that is no longer the case. With so much being transferred and shared digitally, data spends a large amount of time “in transit” (moving from one location to another). Due to this change, the future of data mapping is being reshaped.
Companies rely on data to drive value and identify expansion opportunities. This dependency on data means that all companies are now considered “data companies.” They deal with and collect an almost infinite amount of personal, sensitive data. Manually creating and maintaining a map of this amount of information is not only extremely time-consuming, but also prone to error.
Some best practices for an actionable data map include:
- Tell a Story: The map must answer the questions: what, where, and how much
- Scalable on Demand: Wait time for initial visualization must be minimized
- Information must be current
- Identify Areas of Concern
- Make Visualizing Data Easy: Large lists and object level visualization are no easily managed so visualize data in ways that are important to the company
Having an accurate data map is critical because it allows companies to quickly identify exposed data sets enabling them to handle any critical data problems. Companies that understand the health, risk, and value of their data will make better, more confident data initiative decisions. These decisions all start with actionable data mapping.
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