To secure investment and stakeholder buy-in, you must articulate the business value your platform delivers. This means translating technical capabilities into business outcomes and building compelling business cases that demonstrate ROI.

Platform teams often struggle with this because platforms are infrastructure. Users notice them only when they break. Meanwhile, executives ask: "What are we getting for our platform investment?" Without clear answers, platform initiatives get deprioritized, underfunded, or cancelled.

This guide covers how to make platform value visible and measurable across five key dimensions, how to build compelling business cases, and how to communicate value to different stakeholders.

The Overarching Platform Goal

The overarching goal of a data platform is to facilitate the production, sharing, and use of data by everyone in the organization through effective collaboration and governance.

But "facilitate data sharing" doesn't resonate in the boardroom. You need to translate this into business language that executives, finance teams, and business stakeholders understand.

In Step 2: Define Platform Goals & Metrics, we covered the five dimensions of platform value and how to measure them:

1. Data Enablement - How quickly can teams create and access data products?
2. User Productivity - Are people actually using the platform and finding it valuable?
3. Performance and Reliability - Is the platform dependable for business-critical processes?
4. Compliance and Security - Can the business trust the platform with sensitive data?
5. Cost Efficiency & FinOps - What's the total cost of ownership and where can we optimize?

Now you need to use those metrics to build compelling business cases that demonstrate ROI and communicate value to different stakeholders.

Building the Business Case

A compelling business case connects platform investments to strategic business outcomes using this framework:

1. Articulate the Business Problem

What pain is the business experiencing? What opportunities are we missing? What risks are we facing?

Example: "Marketing can't personalize campaigns because customer data is fragmented across 12 systems, resulting in 22% lower conversion rates than competitors."

2. Propose the Platform Solution