Bring data owners and decision makers together. Map quality issues, reporting priorities and the first steps toward a shared data foundation.
Plan your solution
The Data Strategy Assessment helps decision makers prioritize data problems. Digital Cloud facilitates interviews and working sessions with business owners, analysts and IT. We connect reporting demands to quality, ownership and platform constraints, producing practical actions without assuming a platform migration is required.
Useful analytics depends on consistent definitions and reliable source data. Connecting platforms is only part of the work: ownership, quality, access and reconciliation determine whether people can trust the result.
Select important business questions and trace the reports, spreadsheets and source systems behind them. Identify duplicated definitions, manual reconciliation and unclear responsibility using concrete examples from participants.
Review access, classification, data lineage and the skills needed to maintain trusted datasets. Consider how existing Power BI and potential Fabric capabilities fit your requirements without treating technology as a substitute for ownership.
Compare candidate initiatives by usefulness, data readiness, dependencies and delivery effort. Define a first scenario with an accountable sponsor and evidence that would demonstrate useful progress.
Sales and finance disagree on monthly revenue. The assessment traces definitions and posting dates, then prioritizes a shared metric before additional dashboards are commissioned.
The final deliverables, licensing and responsibilities are agreed for your environment before implementation.
List sources, reports, decision makers and data-quality concerns. Agree refresh needs, access rules, capacity and validation checks before moving a prototype into routine use.
We begin with a conversation about the task, the people involved and the systems already in place. Together we identify what a useful result would look like and which dependencies need attention first. The agreed proposal sets the delivery boundaries, responsibilities and acceptance criteria.
| Project phase | What happens |
|---|---|
| 01Prepare | Involve the relevant process owners and prepare a representative example. Agree on the questions to answer, the preparation needed and the information that can be used safely. |
| 02Review | Work through the agreed scenario with the team. Capture decisions, open questions and the technical or organizational changes needed to move forward. |
| 03Validate | Review the outputs together and assign next actions. A workshop or prototype informs the next decision; production implementation and continuing support are scoped separately. |
No. Known inconsistencies are useful evidence. Bring representative reports and people who can explain the source systems, decisions and recurring manual work.
The starting environment, integrations, user groups and agreed outputs determine the effort. We confirm scope and commercial terms before work begins. Software licenses, infrastructure consumption and ongoing support may be separate items.
The proposal identifies the deliverables: these may include findings, a prioritized roadmap, a tested configuration, a prototype, documentation or training. We agree what is included and how completion will be assessed.
We review the actual applications, data sources and access requirements before recommending an integration. Dependencies and compatibility limits are recorded so the delivery plan reflects your environment.
You can use the findings to guide your own team or discuss a follow-on phase. Any maintenance, monitoring or support includes separately agreed service hours, responsibilities and response targets.
