The key to our success is engaging with the right parts of your company. Knowledge is scattered widely, and without bringing all key data stakeholders together into a position of consensus, it is very hard to effectively assess your data. Asking open questions that lead to useful information, rather than ticking boxes, often leads to findings that directly contradict previous understandings.

Having collected the right data from existing software or reports that you have available, integrating & auditing it to un-tap the most valuable information is essential. To do this effectively, and meet your needs at scale, we have developed our unique UDAM (Unstructured Data Asset Management) analytics solution.

We use UDAM to import and integrate metadata from diverse data sources. We parse your data into a more structured CSV formatted file, before importing it to UDAM. We can do this from your existing CSV files, spreadsheets, and can help with more complex sources like Azure if you don’t have relevant reports of your own. In essence, we can take practically any type of source data, by simply mapping the CSV formatted file into our framework.

We overcome the inevitable use of accidental and deliberate nicknames and aliases for assets. The metadata can represent any relevant information about the asset, providing an excellent platform upon which UDAM can automatically tag additional data defining attributes based on relative analysis of the metadata, providing deeper and richer insight of your underlying data assets.

We use this UDAM analytics capability to help establish a highly effective, verifiable, executable set of fact based findings.