How BI software works
Most BI tools follow the same stages:
- Connect: read data from files such as CSV and spreadsheets, and from databases.
- Model: define how the tables relate, for example that each sale belongs to a product and a date.
- Measure: define calculations such as total revenue or average basket size.
- Visualise: build charts, tables and dashboards from those measures.
- Share: present or export the dashboards to the people who decide.
BI compared with a spreadsheet
A spreadsheet can do much of this for a single table. BI tools are built for several related tables and for dashboards that refresh when the data changes, so the same questions can be answered every week without rebuilding the analysis. A spreadsheet stays the better tool for one-off calculations and quick models.
Benefits
BI gives a consistent view of performance, reduces time spent assembling reports, and makes trends visible that are hard to see in rows of numbers. A shared dashboard also means everyone works from the same figures.
Limitations
Dashboards are only as good as the data behind them; inconsistent or incomplete source data produces confident but wrong charts. Building a good model takes some thought, and many cloud BI services require uploading business data to the provider.
Examples
A retailer may track sales by product and week against stock levels. A consultancy may chart billable hours by client. A small manufacturer may watch material costs against output. Each combines two or more data sources into a view that updates as new data arrives.
Getting data ready for BI
Most of the effort in business intelligence goes into the data rather than the charts. Before building dashboards, it helps to agree on one source for each figure, consistent names for products, customers and categories, and a regular way of exporting or connecting the data so reports refresh without manual work.
It also helps to start from questions rather than charts. Write down the handful of decisions the dashboard should support, such as what to reorder, which clients to prioritise or where costs are drifting, then build only the measures those decisions need. A small dashboard that is trusted and used is worth more than a large one that is not.
When BI makes sense, and when it does not
BI is worth it when the same questions are asked repeatedly, when data comes from more than one source, or when several people need the same figures. For a single table and an occasional question, a spreadsheet is simpler. If data privacy matters, look for BI that runs on your own computer; see how to keep business data local.
Business intelligence from Aevornix
Aev BI models data and builds dashboards on your own computer from CSV files, XLSX workbooks and databases, with no account and no server. It is part of the Aevornix Suite, alongside Aev Book for spreadsheets.
Frequently asked questions
Do small businesses need BI software?
Not always. It becomes useful when the same reports are built repeatedly or data comes from several places.
Is BI the same as data analytics?
They overlap. BI usually focuses on reporting and dashboards for decisions; analytics can include deeper statistical work.
Does BI software need the cloud?
No. Some BI tools run entirely on your own computer and read local files and databases.
