Power BI reports and models
A proper star-schema data model underneath, not a flat table with visuals stacked on it.
Excel experts for hire
Find an expert who will tell you when your reporting has outgrown a spreadsheet, and when it has not.
Abhishek
Abhishek Singh
Akhilesh
Prahalad
ShaktiA remote team of Excel and spreadsheet specialists. You work directly with the person building your file, from the first question to the final handover. More about us.
The short version
The move from Excel to a BI tool is usually attempted a year too early or two years too late. Too early and you have built infrastructure for a report three people read. Too late and someone is spending a week a month on assembly that should be automatic. We are useful mostly in helping you tell which situation you are in.
Scope
Every engagement gets an hours estimate before it starts. If something below is not relevant to you, it comes out of the scope and off the estimate.
A proper star-schema data model underneath, not a flat table with visuals stacked on it.
Measures written and commented so the next person can modify them without reverse-engineering.
For teams already in Google Workspace, connected to Sheets, BigQuery or your ad platforms.
What moves, what stays, in what order, and what it costs to maintain afterwards.
Need to check a feature before hiring? Read Microsoft’s official Excel help and learning for formulas, PivotTables, importing data and troubleshooting.
Same work, different job titles
These all describe the same engagement. The title matters less than whether the person writes things down — but it is worth knowing which term to search, because the results differ.
Builds the data model and the reports. The data model is where these projects actually succeed or fail.
Engaged earlier: whether to move off Excel at all, and what the semantic layer should look like if you do.
The Google-stack equivalent, usually over Sheets or BigQuery.
Tool-agnostic. Reasonable when you have not yet chosen a platform and want advice rather than a build.
Method
Volume, refresh frequency, audience size and who maintains it. Sometimes the answer is that Excel is fine.
The data model is where BI projects succeed or fail. Visuals are the easy part.
Against agreed definitions, with the measure logic documented.
Who refreshes it, who owns the model, and what happens when a source changes.
| Discovery | 15% of hours | Understanding the decision the file supports, and who edits it. |
|---|---|---|
| Prototype | 20% of hours | A working version on your real data, while changing course is still cheap. |
| Build | 40% of hours | The main work, against definitions agreed in writing first. |
| Testing | 15% of hours | Edge cases, checks that fail loudly, and the numbers reconciled. |
| Handover | 10% of hours | Documentation, update procedure and a recorded walkthrough. |
Questions
What clients ask before commissioning this work.
Ask us something elseAlmost never entirely. Excel remains the best tool for scenario work, ad-hoc analysis and anything a human needs to interrogate directly. The realistic outcome is BI for standardised recurring reporting and Excel for everything requiring judgement.
Licensing depends on your Microsoft agreement and how you publish — check current pricing with Microsoft, as it changes. The cost people underestimate is maintenance: someone has to own the data model. Budget for that from the start.
Yes. Inherited reports usually need the data model examined before anything else — most performance and accuracy problems originate there rather than in the visuals.
We work with SQL, Python and BigQuery for extraction and transformation. For substantial pipeline engineering we will be clear about the boundary between what we do and what needs a dedicated data engineer.
Often combined with
Most engagements touch more than one of these. We scope them together rather than selling them separately.
Start with the problem
Send the file or describe the problem. An hours estimate back within a day, at no cost.
Post your projectA short introduction
A short introduction to our Excel and spreadsheet work.
The short introductory video shows spreadsheet tables and dashboards, a person working on a laptop, and a message inviting viewers to post their project.