Business intelligence tools
Business intelligence tools, BI tools for short, are software solutions bringing data from different sources together, preparing it and making it visible in interactive reports and dashboards. They turn scattered raw data from web analytics, CRM, shop and accounting into solid metrics for decisions. Unlike rigid reporting, they let data be filtered, combined and visualised freely. They are therefore the central tool for data-driven companies.
Also known as: BI tools, business intelligence software, data analysis tools
What are business intelligence tools?
Business intelligence tools are platforms that read in large amounts of data from different systems, model it and translate it into understandable visualisations. Instead of copying tables together in Excel by hand, you connect sources such as Google Analytics 4, your CRM, the online shop or accounting directly with the BI tool. There, automatically updated Marketing dashboardsthat always show the current state.
At the heart of any BI tool is interactive analysis: users can change periods, filter by channel or break down individual metrics without an analyst having to rebuild every report. Knowledge is thus spread through the company and decisions rest on facts rather than gut feeling.
For agencies and mid-sized companies the value lies in bringing many data sources together in one place. Marketing, sales and management then look at the same truth, which eases coordination and speeds up reactions to market changes.
Which BI tools are there, compared?
Four solutions have become particularly established. Looker Studio from Google is free, closely interwoven with Google Analytics 4 and ideal for lean marketing dashboards. Microsoft Power BI offers strong value for money and integrates seamlessly into the Microsoft world of Excel, Azure and Teams.
Tableau is seen as the benchmark for demanding, visually high-quality visualisation and large data volumes but is priced in the enterprise segment. Qlik Sense scores with its associative data engine, allowing free exploration across many tables, and targets companies with complex data models.
Which tool fits depends on data volume, budget and existing IT landscape. For most small and mid-sized companies, Looker Studio or Power BI is the pragmatic starting point, while Tableau and Qlik play to their strengths with large data volumes and many users.
| Tool | Strength | data sources | Price range | Ideal for |
|---|---|---|---|---|
| Looker Studio | Google integration, easy to start | GA4, Sheets, BigQuery, connectors | Free | Marketing dashboards, SMEs |
| Power BI | Microsoft ecosystem, value for money | Excel, Azure, SQL, many connectors | from ~ a low monthly price per user | Mid-market, Office users |
| Tableau | High-quality visualisation, large data | Databases, cloud, files | Enterprise | Data-intensive analyses |
| Qlik Sense | Associative data engine, free exploration | Databases, APIs, files | Enterprise | Complex data models |
How are BI tools connected to data?
For a BI tool to be meaningful, the right sources have to be connected cleanly. Data often flows first through Google Tag Manager and Google Analytics 4 into the analysis, complemented by ad platforms such as Google Ads or Meta. In more complex setups, raw data lands in a data warehouse such as BigQuery, which serves as the central data basis.
The modelling itself decides the quality of the reports. Metrics have to be defined uniformly, periods assigned correctly and data sources linked. Only then do marketing dashboards give reliable statements instead of contradictory figures.
At Elisabit we set up these data flows so your metrics stay current automatically and the key KPIs are available at a glance. That saves manual reporting work and wins you time for interpreting the results.
- Web analytics connect: Google Analytics 4 and Trackingdata as the basis.
- Integrate ad channels: Google Ads, Meta and other platforms.
- Connect CRM and shop: feed in revenue and lead data.
- Use a data warehouse: BigQuery as the central data basis for large volumes.
- Standardise metrics: define and document KPIs consistently.
BI tools and GDPR
Business intelligence tools often process personally identifiable data, user behaviour from the web or customer data from the CRM for instance. In Germany and the EU that processing falls under the GDPR, which is why the storage location and the data flows have to be examined closely. Tools from US providers demand particular care with the data processing agreement and the transfer of data.
Anyone who wants to be safe relies on GDPR-compliant tracking as the data basis and combines it with server-side hosted solutions or European data centres. Aggregating and anonymising data before visualisation also reduces the privacy risk considerably.
In the German market especially, clean data protection is not only a duty but a signal of trust to customers and partners. A well-considered BI setup therefore accounts from the start for which data may be collected and stored at all.
When is a BI tool worth it for your company?
A BI tool pays off as soon as you regularly merge data from several sources and the manual reporting effort grows. At the latest when Excel spreadsheets become unwieldy or different departments work with contradictory figures, a central platform creates clarity and saves considerable time.
The best way to start is with a lean dashboard showing the key metrics, then extend it step by step. That avoids an overloaded system and produces a tool people actually use. An accompanying Performance audit also reveals whether data quality and tracking hold up at all.
What matters is not the most expensive tool but the right one. For many companies the free option with Looker Studio is entirely enough, while others benefit from the depth of a Tableau or Qlik. We help you make the right choice and set the system up so it measurably improves your decisions.
Frequently asked questions
What is the difference between BI tools and web analytics?
Web analytics tools such as Google Analytics 4 or Matomo capture behaviour on your website and deliver reports on it. BI tools go a step further and bring that web data together with sources such as CRM, shop and advertising platforms. Where web analytics is therefore one data source, BI tools are the overarching platform linking many sources into an overall picture and presenting it in dashboards.
Which BI tool is best for small companies?
For small companies, Looker Studio is mostly the best choice, because it is free and meshes closely with Google Analytics 4 and Google Ads. Meaningful marketing dashboards can be built with it without a large investment. Anyone already working heavily with Microsoft products is well served by Power BI, since it integrates seamlessly with Excel and Office.
Can BI tools be used in a GDPR-compliant way?
Yes, BI tools can be run in a GDPR-compliant way if data flows, storage location and data processing are cleanly regulated. It matters that the underlying data was collected lawfully, ideally through GDPR-compliant tracking. Aggregated, anonymised data reduces the risk further, since individuals can no longer be identified from it.
Do I need a data warehouse for a BI tool?
For simple marketing dashboards, connecting the data sources directly to the BI tool is often enough. A data warehouse such as BigQuery becomes relevant once data volumes grow, many sources come together or historical data is to be stored permanently. It then serves as the central, performant data basis the BI tool draws on.
How much work is setting up a BI tool?
The effort depends heavily on the number of data sources and the depth wanted. A first dashboard with Google Analytics 4 in Looker Studio is built in a few hours. More complex setups with several sources, a data warehouse and uniform metrics take more planning. We recommend starting lean and building the system out step by step.
Related terms
A free Google tool for data visualisation that brings GA4, Google Ads, Sheets and more together in dashboards.
Collecting, measuring and analysing website data in order to improve content and conversions in a targeted way.
A central database that brings structured data from many sources together so it can be evaluated efficiently for analysis and reporting.
Software for visualising and preparing data in dashboards and reports.
A condensed, real-time view of the key metrics as a basis for management decisions.
Put AI to work for your business?
We help you integrate artificial intelligence into your processes, your marketing and your website — strategically and securely.
Your contact
Stefan
I look forward to hearing about your project and finding the best solution together.
