Tableau Drive

How to scale a culture of analytics

Tableau Drive is a methodology for scaling out self-service analytics. Drive is based on best practices from successful enterprise deployments. The methodology relies on iterative, agile methods that are faster and more effective than traditional long-cycle deployment. A cornerstone of the approach is a new model of a partnership between business and IT.

The Drive Methodology is available for free. Some organizations will choose to execute Drive themselves; others will look to Tableau Services or Tableau Partners for expert help.

What is Drive?

This presentation walks through the reasons a new methodology is needed as well as the basics of Drive.

Core Elements of Drive

The How to Drive manual acts as a blueprint for your deployment. Other resources, listed at the bottom of this page, include milestone checklists, project documents, and suggested reading.

An Inherently Agile Process

Drives draws on Agile methods that call for cross functional teams, prototyping, and constant iteration. Agile methods often produce faster results at higher quality. Visual analytics is inherently agile because it involves an iterative cycle of getting data, creating visualizations, and checking assumptions. Tools like Tableau that enable business users to develop dashboards in real time further compress the time needed to deliver results.

A New Partnership Between Business and IT

One of the central tenets of the Drive methodology is a new model of partnership between business and IT.

With Drive, IT focuses on a foundation of enablement including training, security, and data preparation. Business users, working with the framework defined by IT, lead the analytical work and answer their own questions.

IT owns the “Center of Operations”

  1. Security and governance
  2. Data acquisition, preparation, and provisioning
  3. Intranet wiki and community software and services
  4. Tableau Server deployment, configuration, and maintenance
  5. Tableau Desktop provisioning

Business owns analytics and the “Center of Evangelism”

  1. Creation of reports and dashboards
  2. Development and promotion of best practices
  3. Training and support
  4. Evangelism

A Visual Explaination

Why It Matters

Source: Tableau