Case Study: a Fortune 50 multinational automotive company reduces dark data sprawl with Data Dynamics StorageX

A Data Dynamics Case Study

Preview of the Fortune 50 Multinational Automotive Company Case Study

3+ Petabytes of Unstructured Data Analyzed, Cleansed, Tiered, and Archived Using a Lightweight Single Data Management Software

This case study details how Data Dynamics helped a fortune 50 multinational automotive company tackle a massive unstructured data sprawl exceeding three petabytes. The customer faced escalating storage costs, a lack of data insight, and challenges in ensuring proper data access management across their NetApp/Isilon file share environment, leaving much of their data as unmanaged dark data.

Data Dynamics addressed these challenges with its StorageX platform, a unified unstructured data management software. The solution provided metadata-driven analysis, identification, and classification of data, enabling automated cleansing, tiering, and archival. This process optimized storage, reduced data sprawl, and implemented robust role-based access controls. As a result, the customer gained critical data intelligence, modernized their data estate, and established strong governance across their entire data landscape.


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