A Guide to Data Entitlements & Access At Scale

A Guide to Data Entitlements & Access
At Scale

How organizations can develop a framework for secure and auditable data platforms

Inefficient data governance is a challenge when implementing data-driven projects. Excessive – or too little – data governance and controls often complicate projects, resulting in delays and cost escalations. This guide provides a common framework for data entitlements and access – along with a reference architecture for Google Cloud Platform (GCP).

Did you know?

Between 60-73% of enterprise data remains unused for analytics.

The global market for data governance tools is expected to be valued at $5.25 billion by 2026.

Reference: Forrester , Businesswire

By downloading this guide, you will learn more about:

Common framework patterns in physical data storage and security, data classification and cataloging, and user and application persona.
Implementing and scaling data entitlements and security for Google Cloud.
Controlling access to machine learning and LLM models.
Securing and preparing environments for Generative AI.

We can help you “walk” your path to data entitlement and access.

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