Automobile manufacturer
Building a Group-Wide Self-Service Analytics Platform with Tableau
Starting point
- The existing BI tool cannot meet the complex requirements for data visualisation
- Independent data discovery by business departments is not possible
- There is a risk of fragmented system landscapes, leading to high licensing and hosting costs, as well as decentralized and non-scalable support efforts
- Currently, no analytics component is available for integration with Big Data Hadoop
Procedure
- Installation of the Tableau Server based on a 3-tier architecture with two-factor authentication
- Development of a multi-tenant service, including an operating model, role and rights concept, service level management, and a cost allocation model
- Pilot phase of the platform with two projects
- Stabilization phase with the onboarding of 10 additional projects
- Transition to regular operations with 50 use cases and over 500 users
Features/Project outcome
- Tableau Self-Service Analytics Platform
- Rapid prototyping of use cases and interactive dashboards
- Big Data integration via Hive
- Billing and pricing model
- Onboarding process with a Quickstart Guide
- Customised training offerings
- Centralised ITILv3-compliant operations organization
- CI-compliant templates
- Tableau community to foster an analytics culture
Customer benefits
- Acceleration of insight generation (data discovery)
- Cost reduction by enabling business departments to independently analyse data
- Establishing an "analytics culture" within the company through Tableau communities and Tableau Champions
- More efficient requirements gathering through rapid prototyping
- Low hosting, operational, and licensing costs through the platform approach
- High support availability and uptime with a central SPOC (Single Point of Contact) for all Tableau-related topics
Marco Bruno | Senior Manager / Authorised Officer