Data Intelligence

Data Mapping: The Challenges in an Organization

Actian Germany GmbH

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 empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.