Data Governance with Microsoft Purview: 10 Week POC

Fractal Analytics Inc.

Learn how to govern data usage and how using Microsoft Purview's data lineage and data cataloging capabilities can help.

Data is the most valuable asset for virtually any organization, but deriving value from data requires it to be trustworthy. To trust data, organizations must be sure that it is clean, reliable, and traceable back to its point of origin.

This is where data governance comes into play. Data governance allows organizations to trust their data while enabling them to scale data usage and ensure data accuracy. Data governance can also help with:

  • Controlling dirty data
  • Data discovery & identifying useful data
  • Ensuring data is used correctly
  • Selecting ideal data sources, providers, and solutions
  • Managing integration of new data sources & solutions
  • Working off a single source of truth
  • Making data-driven decisions with confidence
  • Knowing the origin of data points
  • Establishing data lineage

Adequate tooling is essential for establishing and enforcing robust data governance policies. For example, organizations need data lineage and cataloging tools like Microsoft Purview, which are vital for identifying, indexing, and tracing data back to its origin and establishing how data may have been processed or transformed over time.

Fractal Analytics designed this 10-week proof of concept to help customers understand the value of data governance and how Microsoft Purview can be an indispensable tool for establishing mature, robust data governance policies for Azure customers. During the POC engagement, customers will receive 10 weeks of deployment services with agile scrums and an Azure-trained development team that will:

  • Setup and orchestrate Microsoft Purview
  • Label and classify data
  • Educate stakeholders on data governance best practices

At the end of the 10-week period, customers will receive a demonstration of Microsoft Purview's capabilities in a data governance context and a plan for moving the proof of concept into production.