Database Discovery

Finding what’s relevant within multiple data streams

Unstructured data lies hidden within most structured data systems and databases; typically, these are hidden streams of ‘free text’ input by users. We can tell you what’s inside those data streams and find whatever you’re interested in knowing. So no more hiding of data within data . . .

Database Discovery is concerned with uncovering and investigating the unstructured data that lies hidden (and often unseen) within structured data sources. Typically, these data sources are databases driving Line of Business (‘LoB’) systems like a CRM, ERP or HR/Personnel Records system, or a Hospital PAS/EPR Patient Record or an Adult/Child Care Record system in a Local Authority. And the unstructured data comprises ‘free text’ (annotations, comments, notes, etc) that are input by users alongside, or in addition to, their structured data input.

The problem is that these free text streams or, often, a sequence of input boxes, contain useful perhaps critical information that is not easily accessible (except on a one-to-one, human to screen basis) and certainly not comparable or quantifiable or open to analysis.

Equally, there may also be metadata assigned to documents that are referenced and/or stored by the database. In this context, ‘metadata’ refers to the classification, categorisation and descriptive labelling (tagging) of the documents; effectively, data attributes assigned to documents so that the nature of each document might be more readily known.

Data Discovery targets each LoB / database appropriate to the purpose of the discovery, defines the relevant database location storing the free text / metadata, processes the content, finds and analyses everything, and reports upon them all via illuminating charts for informed interpretation.                                                                  

The purpose of the discovery can be various – from identifying personal data for GDPR compliance to finding instances and incidences of specific data items for reasons of response to enquiries, requests, compliance sampling and similar. The key point being, whatever the data that needs to be found, Database Discovery will find and report upon it via automated processes and detailed visualisation of the results. And beyond the initial findings, it will continue to monitor and report upon any data changes, updates or deletions.

Database Discovery

When you need to uncover hidden data wherever it exists irrespective of the data sources

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