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John Smith
name@company.com
Data Scientist, USA
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Cloud-Ready Data
Digital Transformation
Data Governance

Workbook

Delivering adaptive data and analytics governance

This step-by-step guide outlines the critical components of a successful adaptive data governance solution and walks you through key considerations on how to get there. You will:

  • Learn why adaptive data governance matters

  • Run through a current and future state assessment

  • Work though the process of setting up an adaptive data governance approach for your key use case

  • Understand how the Collibra Adaptive Data and Analytics Governance solution can help

Summary

If your organization is grappling with the sheer volume of your data growth, but your governance processes have not scaled to match, then trust in your organization’s data is on a slippery slope. This step by step guide will help you learn how to win back that trust by:

  • Taking back control of your data landscape with full visibility on your data assets

  • Increase efficiency of your people and process with configurable workflows and automation

  • Reducing data and compliance risks

Preview

As your org grows, your data landscape often rapidly expands to keep pace. But your people and processes struggle to keep up with that pace and before you know it, you are looking at massive volumes of data being stored and managed in huge siloed systems, often within their own walled gardens. 

This leads to a three-pronged problem. 

  • You are unable to access data across all these disparate islands of data. 

  • Your stakeholders and analysts spend countless hours wrangling their way through the data to prepare insights to make business decisions. 

  • Your team spends an inordinate amount of time and effort securing your data to mitigate compliance risks.

So you concur that you absolutely need a data governance model in place. But not just any canned governance model. Your organization and its data set is unique, so your data governance model has to adapt to the specific needs of your organization, so you stay nimble to make well-informed data decisions. And while you are at it, you also realize the model should also help you mitigate data and compliance risks, so you and your team sleep well at night.