ROI

Connect your data investment to the outcomes it is meant to deliver.

A platform, application, or AI initiative earns its return through the work people do with it. MyDataWork connects that work to business use cases, supporting assets, stakeholders, and recorded outcomes—so teams can see what an investment supports and where to improve it.

From business case to ongoing decisions

Make the connection between investment and return.

A business case describes the expected benefit. Realizing that benefit requires a continuing connection between the objective, the people responsible, and the data-dependent work behind it.

  1. Business objective
  2. Use case
  3. Assets & relationships
  4. Stakeholders
  5. Recorded outcomes

Prioritize with purpose.

Connect proposed work to a business objective and the stakeholders it serves. Put the intended benefit beside the work required to deliver it.

Understand delivery dependencies.

Link supporting assets and examine recorded relationships before changing or extending a workflow. Identify the questions that need answers before more resources are committed.

Review what the investment delivers.

Keep estimated value, recorded realized value, and progress toward objectives available for the next decision.

Use that record to decide where to invest further, investigate overlap, reuse existing work, or reconsider an initiative whose value remains unclear.

For the investment

Give every initiative a business context.

Whether the investment is in reporting, forecasting, a customer application, or an AI workflow, start with the outcome it is meant to improve.

  • Define the intended change. Record the objective, baseline, and target for the use case.
  • Connect the supporting work. Associate the assets and stakeholders involved, then investigate the relationships that matter.
  • Keep the business case useful. Revisit assumptions and recorded outcomes as the work develops.
The question becomes more useful than “What did we build?”: “What does it support, and what should we do next?”
For the analyst

Spend less time reconstructing the work.

Keep the purpose and context alongside your analysis so they are available for the next review, handoff, or change.

  • Prepare for reviews. Bring linked assets, stakeholders, objectives, and recorded value into the same discussion.
  • Make handoffs easier. Preserve the reasoning and relationships another person would otherwise have to rediscover.
  • Examine opportunities. Review suggestions for reuse, automation, or modernization against your requirements.
For the organization

Make the next investment decision better informed.

A shared record of analytical work helps leaders connect spending decisions to the use cases those decisions affect.

  • Assess existing investments. Review which use cases and recorded benefits are associated with the assets and tools under consideration.
  • Investigate duplication. Compare apparently overlapping work before deciding what to consolidate or reuse.
  • Communicate priorities. Use Portfolio exports to bring selected use cases, objectives, and value into investment discussions.
Start with one investment

Make its path to value visible.

Choose a data-dependent process or application. Document the use case, connect its supporting assets and stakeholders, and record the outcome you want to improve. You now have a basis for the next review—and a record to build on as results emerge.

Explore enterprise scenarios →

Start free — 90 days.

Explorer is the workspace itself on your own data — with demo data to explore first. No credit card required.
The workspace for analytical work. Work context for teams, leaders, and AI.

Stay informed

Product updates on LinkedIn — plus our free weekly AI briefing.
Available in AWS Marketplace
© 2026 MyDataWork™, LLC. All rights reserved. AWS Marketplace and the AWS Marketplace logo are trademarks of Amazon.com, Inc. or its affiliates.
Scroll to Top