Data Intelligence

Data Mapping: The Challenges in an Organization

Actian Corporation

July 3, 2018

data modernization

The arrival of Big Data did not simplify how enterprises work with data. The volume, the variety, and the various data storage systems are exploding. With the Big Data revolution, it is even more difficult to answer “primary” questions related to data mapping:

  • What are the most pertinent datasets and tables for my use cases and my organization?
  • Do I have sensitive data? How are they used?
  • Where does my data come from? How have they been transformed?
  • What will be the impacts on my datasets if they are transformed?

So many questions that information systems managers, Data Lab managers, Data Analysts or even Data Scientists ask themselves to be able to deliver efficient and pertinent data analysis.

Among others, these questions allow enterprises to:

  • Improve data quality: Providing as much information as possible allows users to know if the data is suitable for use.
  • Comply with European regulations (GDPR): mark personal data and the carried-out processes.
  • Make employees more efficient and autonomous in understanding data through graphical and ergonomic data mapping.

To put these into action, companies must build what is called data lineage.

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About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.