Skip to content
{ RBH } TECHNOLOGY
Back to blog
Strategy · 5 min read

What is business intelligence and what your company actually gets from it

Business intelligence without the jargon. We explain what BI really is, how it changes decision-making in a company and when it pays off to invest in it.

Richard Böhmer, MSc

The path from data sources through a single source of truth to a dashboard and a decision

„We need better reports.” „We want an overview.” „To finally see how we’re really doing.” Behind these sentences there is almost always one thing - business intelligence. A term that sounds like an expensive corporate toy, but in reality solves a very down-to-earth problem: making decisions based on numbers, not gut feeling.

This article is for owners and managers who sense that „we could do more with our data”, but don’t want to sit through an IT lecture. Without jargon, we explain what BI is, what it brings to a company and when it makes sense to invest in it.

What business intelligence really is (no jargon)

Business intelligence (BI) is a way to turn data from different systems into clear information you can make decisions on.

Imagine you have revenue in your accounting system, orders in your e-shop, customers in your CRM and costs in Excel. Each system knows only its own piece of the truth. BI brings these pieces together and shows them in one place - in a clear dashboard that is always up to date.

It is not one specific program. It is a combination of:

  • data sources (accounting, CRM, e-shop, ERP, spreadsheets),
  • a place where data is gathered and cleaned (a data warehouse or data model),
  • a tool you look at it through (Power BI, Tableau, Qlik).

The result? Instead of asking „can someone prepare last month’s numbers?” you open a dashboard and the answer is already there.

How BI changes decision-making

The difference between a company with BI and one without is not how many charts it has. It is how fast and how confidently it makes decisions.

  • From „I think” to „I know.” Instead of arguing which product earns the most, you look at margin by product - and the debate is over.
  • From hindsight to an early signal. You don’t wait three weeks for the close. You see a drop in sales or a rise in costs while you can still do something about it.
  • From one truth for everyone. Sales, finance and management all look at the same numbers - no more two reports that contradict each other.

What BI is made of

So you know what to discuss with a supplier, here are the four layers BI stands on:

  1. Data collection - data flows automatically from systems, no manual exports every month.
  2. Data warehouse / model - this is where data is cleaned, unified and a „single source of truth” is defined (what exactly revenue, active customer, margin means).
  3. Metrics and logic - key indicators are calculated once and used the same way everywhere.
  4. Reporting and dashboards - what you actually see and click: overviews, filters, drill-down into detail.

If the third layer interests you more deeply, see our article dbt: turning raw data into information you can trust.

BI vs. Excel reports

Excel is great - but as a reporting system for the whole company it has a ceiling. A comparison:

Excel reportsBusiness intelligence
RefreshManually, every monthAutomatically, daily / real time
Source of truthMultiple file versionsOne shared
Formula errorsCommon and hard to traceTested, controlled
HistoryOften lostStored and compared
Access„Send me that file”Dashboard in browser / mobile
Dependency on 1 personHighLow

When Excel is still enough and when it’s time for the next step, we cover in the article Data warehouse or Excel?.

When it pays off to start with BI

You don’t have to be a corporation. Signs that it’s time:

  • You spend hours a month assembling reports by hand.
  • Numbers from different departments contradict each other and no one knows which are valid.
  • Decisions wait because „we don’t have the data yet”.
  • You’re growing and Excel can’t keep up (slow files, „final_v3”).
  • You want to see trends and connections, not just a single number per month.

If you nodded at least twice, BI will pay back the investment sooner than you expect - mainly in saved time and better decisions.

Common myths

„BI is only for big companies.” No. Modern tools (Power BI) are affordable for small and mid-sized companies too. Often a handful of well-designed dashboards is enough.

„We have to clean up all our data first.” No. You start with one area (e.g. sales or finance) and expand gradually. Cleaning data is part of the project, not a precondition for it.

„It will be a huge year-long IT project.” The first useful version (MVP) can be built in weeks, not years. The key is to start small and show value.

How to start

  1. Pick one area that hurts the most - sales, finance, inventory.
  2. Define 5-10 KPIs you really need (not 50).
  3. Build a pilot with real data and one dashboard.
  4. Expand - more areas, forecasts, self-service for the team.

Business intelligence is not about technology. It’s about helping you stop arguing and start deciding.


Want to find out what BI would look like in your company? Take a look at our data analytics services or book a free consultation - we’re happy to look at your specific situation.

Tags: #business-intelligence #reporting #data #decision-making

Need help with a similar project?

Let's start with an informal conversation about how we can bring value to your data.