GUIDE

THE PRACTICAL GUIDE TO

USING A SEMANTIC LAYER

FOR DATA & ANALYTICS

Your playbook to accelerate data velocity and extend self-serve analytics to ALL.

AtScale Practical Guide for Using a Semantic Layer for Data and Analytics
IN
THE
GUIDE

Includes a checklist, an assessment, industry-specific use cases, and a maturity model

When more people can quickly access data and self-serve with analytics, it creates a flywheel effect, where data becomes a usable strategic asset that improves your organization’s decisions over time, and in turn enhances the data’s bottom-line impact on the company as a whole.

Download this guide for practical advice on how to increase data velocity, improve data literacy, extend self-service analytics, and build a culture that encourages data sharing.

Read this guide to learn

  • Where your organization sits in the data and analytics maturity model
  • How effective your data-driven operation is and where you can improve
  • What will serve as the “grease” to make your analytics flywheel spin
  • Which challenges a semantic layer can solve, with industry-specific use cases

group profile AtScale

Who should read this?

Data and analytics leaders (Chief Data Officers, CIOs, data strategy executives, business intelligence leaders, data infrastructure directors) looking to accelerate data velocity and extend self-serve analytics to ALL.

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