how would you measure the success of tableau's tableau service?

Introduction

Measuring the success of Tableau's Tableau Service requires a comprehensive approach that considers multiple stakeholders and various aspects of the product. To effectively evaluate this business intelligence and analytics service, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Tableau Service is a cloud-based analytics platform that allows organizations to connect, visualize, and share data insights. It's designed to make data analysis accessible to users of varying technical expertise, from data scientists to business analysts.

Key stakeholders include:

1. End-users (analysts, executives, data scientists)
2. IT departments
3. Tableau (revenue, market share)
4. Data providers and partners

User flow typically involves:

1. Connecting to data sources
2. Creating visualizations and dashboards
3. Sharing and collaborating on insights
4. Making data-driven decisions

Tableau Service fits into the company's broader strategy of democratizing data analytics and maintaining its position as a leader in the business intelligence market. Compared to competitors like Power BI and Looker, Tableau emphasizes ease of use and powerful visualization capabilities.

In terms of product lifecycle, Tableau Service is in the growth stage, with ongoing feature development and market expansion.