Engage proactively with the business to discover, cleanse, classify, and migrate unstructured data with automated tool support.
When insurance legislation came into force that required Canopius to examine its structured data storage processes, they realized that there was also a parallel challenge around unstructured data, i.e. not captured in databases or financial systems. For Canopius, unstructured data meant anything from PDFs, documents, and spreadsheets, to photos, videos, and custom files. David Francis, Group Data Protection Officer and Head of Information Governance for Canopius, explains further: “In our industry, it’s easy for organizations to adopt a ‘hoarding mentality’ when it comes to data. Companies are reluctant to delete any data that might be useful at some point in the future. However, this has a real impact on storage requirements, and if the information is not indexed it will be hard to find. Plus, data privacy laws mean that data kept beyond a certain timeframe could leave companies open to penalties.”
It is expected that unstructured data will account for 80 percent of all data created in 2020*. With this in mind, Canopius looked for a solution to index its content and metadata to discover, cleanse, classify, and migrate data to where it needs to be.