What Should Your First BI Project Be?
Don’t Rush, Start Small
The hardest part of getting started with Power BI or Microsoft Fabric is often knowing where to begin, more than the technology itself. Faced with all the data a business generates, the temptation is to build the grand, company-wide dashboard that answers everything. That instinct is exactly what sinks first efforts. The better move is one small, focused project that proves value fast and builds the momentum for everything after. This guide helps you pick the right one.
01
Why Start Small
A focused first project beats a grand plan, and the evidence is consistent: over-planned analytics initiatives tend to fail, scrapped or abandoned before they deliver, while small, incremental efforts ship value and build on it. Starting small is how the ambitious plan gets built, one proven win at a time.
02
What Makes a Good First Project
A good first project has three things: it answers a real question someone cares about, it runs on data you can reach, and it produces a win people notice. Get those three right and the project proves the platform. Miss them, and even a technically perfect build lands with a shrug.
03
Start Focused
This isn’t just our opinion. Microsoft’s own adoption guidance recommends starting with a focused first solution and expanding from there, rather than attempting a broad rollout at once. The platform is built to grow with you, so there’s no need to prove everything on day one.
04
The Goal Is a Win That Builds Momentum
The point of a first project is what the report unlocks: trust in the data, buy-in from leadership, and the confidence to do more. A small win that gets used is worth more than a big build that impresses in a demo and then sits idle.
05
The Business Case in One Sentence
One useful report, delivered in weeks and put to use, does more for your data ambitions than a year-long platform build nobody has seen yet.
What Makes a Good First Project
Before picking a project, know what you're looking for. Four criteria separate a strong first project from a frustrating one.
It Answers a Real Question
The best first projects are tied to a specific decision someone makes regularly: which products to reorder, which accounts are at risk, how the month is tracking. A report attached to a real decision gets used; a report built because the data was there does not.
The Data Is Reachable and Decent
Pick a project whose data is already accessible and in reasonable shape, usually something already sitting in a system that Power BI or Microsoft Fabric can connect to. Save the project that depends on your messiest, most scattered data for later, once you’ve proven the approach.
The Win Is Visible
Choose something whose result people will see and welcome. A report that replaces a painful manual process, or shows a number leadership has been guessing at, earns attention. Visibility is what turns a first project into buy-in for the next.
It Fits in Weeks, Not Quarters
Scope it so a first working version lands in weeks. A structured plan that defines a clear, contained use case keeps the project from sprawling. If your first project needs a quarter before anyone sees anything, it’s too big to be a first project.
| A Good First Project | A Bad First Project |
|---|---|
|
Answers one clear question |
Tries to cover everything |
|
Runs on data you can reach |
Needs your messiest data cleaned first |
|
Has someone who wants it |
Nobody asked for it |
|
Ships in weeks |
Drags on for quarters |
|
Improves a real decision |
Looks impressive in a demo |
If a candidate project sits in the left column on all five rows, you’ve found a strong first project. If it drifts into the right column, keep looking.
Good First Projects to Consider
The strongest first projects tend to be focused reports that answer one clear question for one audience. A few patterns work well again and again.
A Single Executive Dashboard
A one-page view of the handful of numbers leadership checks most, revenue, pipeline, cash, the top operational metric, is a classic first project. It’s high-visibility, tied to real decisions, and usually draws on data that already exists.
A Sales or Revenue Report
One team, clear metrics, and an audience that will use it daily. A sales report tracking performance against target, by rep or region, is contained enough to build fast and valuable enough to get noticed.
An Operations or Inventory View
A report that supports a recurring operational decision, what to reorder, where the bottleneck is, how today compares to plan, delivers value every day it’s used, which makes adoption easy.
Replacing One Painful Spreadsheet
If someone on your team spends hours each week hand-building a report in Excel, automating that one report is an ideal first project. The need is proven, the value is obvious, and the person who was doing it by hand becomes your first champion.
A Financial or Month-End Report
A recurring finance report, month-end close, budget-versus-actual, is high-value and well-defined, and turning a slow manual process into a fast automated one is a win everyone feels.
What to Avoid for a First Project
Some projects make poor first choices, however tempting.
The Everything Dashboard
The instinct to build one dashboard covering the whole company is the most common first-project mistake. It takes too long, pleases no one in particular, and collapses under its own scope. Breadth is a goal for later, once you’ve proven value on something focused.
The Project That Needs Your Worst Data
A project that can’t start until your messiest data is cleaned turns a first project into a data-cleanup marathon. Choose a project on decent data now, and tackle the hard data once the platform has earned trust.
The One Nobody Asked For
A report with no owner and no decision behind it has no path to adoption. If you can’t name the person who’ll use it and the choice it improves, pick a different project.
The Politically Fraught Metric
A first project built on a number different teams define differently, or argue over, spends its energy on politics instead of results. Save the contested metric until you have the credibility to referee it.
How to Pick Yours
A short set of questions points you to the right first project.
Find a Decision Made on Gut Feel
Look for a recurring decision people currently make without good data. That gap is where a first project delivers the most obvious value.
Check the Data Behind It
Confirm the data you’d need is reachable and in reasonable shape before you commit. The best candidate decision is only a good first project if its data cooperates.
Confirm Someone Wants It
Find the person who’ll use the result and make sure they want it. A waiting, willing user is the difference between a report that’s adopted and one that’s ignored.
Keep the Scope Tight
Resist adding “just one more thing.” A tight scope is what lets a first project finish fast and prove the point. You can always add more in the second project.
| Ask Yourself | A Good First Project... |
|---|---|
|
What decision does it change? |
Improves one specific, regular decision |
|
Who wants it? |
Has a named person waiting for it |
|
Is the data reachable? |
Runs on data that’s already accessible |
|
How long to a first version? |
Weeks, not months |
|
Will anyone notice? |
Produces a visible, welcome result |
What Starting Small Is Not
A few misreadings of “start small” lead teams astray.
It Is Not Thinking Small
Starting small is a sequencing choice. You can hold a big vision and still be wise to prove it one focused project at a time.
It Is Not Throwaway Work
A good first project is the first real piece of your platform, built properly so later work extends it. It’s a foundation you keep, and the second project builds on it rather than replacing it.
It Is Not Only for Small Companies
Large organizations benefit from a focused first project as much as small ones, arguably more, since the temptation to boil the ocean grows with the size of the data. Everyone is better off proving value before scaling.
It Is Not Slower
Starting small is the faster path to value. A focused project delivers something usable in weeks, while a grand build delivers nothing until it’s all done.
Taking the Next Step
Name One Decision
Pick the single decision in your business that better data would most improve. That decision is the seed of your first project.
Scope It to Weeks
Define the smallest version that improves that decision, and aim to deliver it in weeks. If it won’t fit, narrow it until it does.
Final Thoughts on Starting Small
The best first BI project is small, focused, and tied to a real decision on reachable data, with someone waiting to use the result. Resist the grand company-wide build; it’s the slowest, riskiest way to start. Prove value on one useful report, earn trust and momentum, and let the ambitious vision grow from a win people can already see.
Start Small With Allston Yale
If you’re new to Power BI or Fabric and not sure where to begin, the right first project is usually closer and smaller than you think. We’re Texas Power BI and Microsoft Fabric consultants, and our Power BI consulting helps you pick a focused first project, deliver it fast, and prove value before you scale. Book a free data check-up with us today, and we’ll help you find the one to start with.