LEADING UK INSURANCE BUSINESS

Discovering unstructured data is 80% over-retained and risky

Eye

The Business Challenge

Significant risk in a hidden, unmanaged and unstructured data store is identified in an internal audit at the Insurance business of a leading UK banking group aiming to become digital-first and migrate to the cloud. ​

It is red-flagged to the Board, creating a burning need to discover and remediate the risk, prove the wider scale of the problem and reduce ongoing underwriting costs.​

Despite starting with a small data store and using several people to search manually through 700,000 files, the task proves impossible, even with months of effort and is a significant, hidden business cost. So the business turns to Exonar data discovery.

Solving the business challenge with Exonar Reveal

Data is extracted, indexed and discovered:

Enable remediation of data:

80% of the hidden data is found to be redundant, over-retained and trivial (ROT)
20% of the ROT data contains unencrypted confidential information e.g. customer data relating to a business divested 5 years before
This data represents a major data security and regulatory breach
Data is auto-classified and tagged on mass. Using these classifications, deletion and remediation is automated with custom scripts​
Encryption of source data is enabled through integration into third-party tools with Exonar’s API

Strengthened governance policies & accountability for removal enables better ongoing data management

Business outcome & benefits

£84m

Value of the risk reduction once ROT & confidential data in the data store is removed

80%

Volume of documents removed during remediation​

1YR

Time saved using Exonar Reveal versus manual methods​

400%

Efficiency improvement of the data review team by using Exonar Reveal​

Recognise these challenges? Learn how
Exonar Reveal can help you solve them

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