List of BI tools 2024: select the best Business Intelligence software for your requirements

Industry Analist
Author: Daan van Beek MSc
Industry Analist
Table of Contents

As a driven manager, director or controller you not only want to have good steering information, but also work with the right Business Intelligence tools. You are looking for a solution that is both effective and efficient. At the same time you want the software to be as accurate as possible to the wishes and needs of the users and the IT standards. We carefully researched all the major BI tools on the market and reveal all the (secret) details. Here you can read all about our 100% independent research on Business Intelligence software and Business Analytic tools.

Overview of BI Tools for Data Analytics

Click on one of the names to learn more about the BI tools you want to know more about. Or consult the Business Intelligence & Analytics Guide™ 2024 for an objective comparison of all these parties to quickly decide on the best BI tool for your organization. The list of tools is sorted alphabetically. Passionned Group is 100% independent, and therefore in no way affiliated with the vendors of the tools.

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1. Alteryx

Alteryx is widely known for its products Alteryx Designer, Alteryx Server, Alteryx Analytics, Alteryx Connect and Alteryx Intelligence Suite. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from Alteryx are strong in the following areas, among others:

  • analytics
  • generative AI
  • cloud platform
  • machine learning
  • data science
  • analysis
  • artificial intelligence
  • data preparation
  • advanced analytics
  • Python
Alteryx Designer Figuur 1: Alteryx Designer
Alteryx Server Figuur 2: Alteryx Server
Alteryx Analytics Figuur 3: Alteryx Analytics

dossier Alteryx

2. datapine

As far as we have been able to ascertain, datapine currently has only one primary product: datapine BI. Take a look at the screen shots below. The Business Intelligence tools from datapine are strong in the following areas, among others:

  • business intelligence
  • analytics
  • data visualization
  • dashboards
  • SaaS
  • SQL
  • analysis
  • machine learning
  • interactive dashboards
  • reporting
datapine BI Figuur 4: datapine BI
datapine BI Figuur 5: datapine BI
datapine BI Figuur 6: datapine BI

dossier datapine

3. DataRobot

DataRobot is widely known for its products DataRobot Artificial Intelligence, DataRobot Core, DataRobot platform, DataRobot AutoML and DataRobot MLOps. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from DataRobot are strong in the following areas, among others:

  • artificial intelligence
  • automated machine learning
  • Python
  • authentication
  • R
  • data science
  • machine learning models
  • repository
  • algorithms
DataRobot Artificial Intelligence Figuur 7: DataRobot Artificial Intelligence
DataRobot Core Figuur 8: DataRobot Core
DataRobot platform Figuur 9: DataRobot platform

dossier DataRobot

4. Domo

The most well-known products in the area of BI & Analytics of the company Domo are Domo Platform, Domo Data Science, Domo Business Intelligence, Domo Data Visualization and Domo Business Automation. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Domo can be characterized by good support on the following topics:

  • data science
  • business intelligence
  • analytics
  • data visualization
  • dashboards
  • reporting
  • machine learning
  • real-time data
  • analysis
Domo Platform Figuur 10: Domo Platform
Domo Data Science Figuur 11: Domo Data Science
Domo Business Intelligence Figuur 12: Domo Business Intelligence

dossier Domo

5. Dundas

The most well-known products in the area of BI & Analytics of the company Dundas are Dundas Data Visualization, Dundas Dashboard and Dundas BI Data Flow. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Dundas can be characterized by good support on the following topics:

  • data visualization
  • business intelligence
  • dashboards
  • reporting
  • analytics platform
  • embedded analytics
  • analysis
  • Microsoft Excel
  • performance management
Dundas BI Figuur 13: Dundas BI
Dundas Data Visualization Figuur 14: Dundas Data Visualization
Dundas Dashboard Figuur 15: Dundas Dashboard

dossier Dundas

6. GoodData

As far as we have been able to ascertain, GoodData currently has only one primary product: GoodData Platform. Take a look at the screen shots below. The Business Intelligence tools from GoodData are strong in the following areas, among others:

  • dashboards
  • Slack
  • data visualization
  • java
  • SDK
  • scalability
  • CSV
  • analytics platform
  • caching
GoodData Platform Figuur 16: GoodData Platform
GoodData Platform Figuur 17: GoodData Platform
GoodData Platform Figuur 18: GoodData Platform

dossier GoodData

7. IBM BI & Analytics

IBM is widely known for its products Cognos Analytics, IBM SPSS, IBM Watson, IBM Infosphere and Netezza. Take a look at the images below. The Business Intelligence tools from IBM are strong in the following areas, among others:

  • analytics
  • analysis
  • real-time
  • OLAP
  • cube
  • reporting
  • natural language processing
  • predictive analytics
  • IBM Netezza
Cognos Analytics Figuur 19: Cognos Analytics
IBM SPSS Figuur 20: IBM SPSS
IBM Watson Figuur 21: IBM Watson

dossier IBM BI & Analytics

8. Incorta

The most well-known products in the area of BI & Analytics of the company Incorta are Incorta Analytics and Incorta analyzer. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Incorta can be characterized by good support on the following topics:

  • analytics platform
  • reporting
  • SDK
  • dashboards
  • KPI
  • JSON
  • business intelligence
  • real-time
  • analysis
Incorta Analytics Figuur 22: Incorta Analytics
Incorta Analytics Figuur 23: Incorta Analytics
Incorta Analytics Figuur 24: Incorta Analytics

dossier Incorta

9. InetSoft

InetSoft is widely known for its products InetSoft Style Intelligence, InetSoft Business Intelligence, InetSoft Data Intelligence, InetSoft Style Studio and InetSoft Data Cleansing. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from InetSoft are strong in the following areas, among others:

  • business intelligence
  • analytics
  • reporting
  • dashboards
  • big data
  • cloud computing
  • data modeling
  • analysis
  • machine learning
  • SQL
InetSoft Style Intelligence Figuur 25: InetSoft Style Intelligence
InetSoft Business Intelligence Figuur 26: InetSoft Business Intelligence
InetSoft Data Intelligence Figuur 27: InetSoft Data Intelligence

dossier InetSoft

10. Infor BI & Analytics

Infor is widely known for its products Infor Birst, Infor BI, Infor Landmark and Infor Coleman AI. Take a look at the images below. The Business Intelligence tools from Infor are strong in the following areas, among others:

  • analytics
  • business intelligence
  • dashboards
  • reporting
  • performance management
  • IoT
  • machine learning
  • sales analytics
  • analysis
  • supply chain analytics
Infor Birst Figuur 28: Infor Birst
Infor Coleman Figuur 29: Infor Coleman
Infor BI Figuur 30: Infor BI

dossier Infor BI & Analytics

11. insightssoftware BI & Analytics

The most well-known products in the area of BI & Analytics of the company insightssoftware are Logi Info, Logi Composer, Logi Report Server, Logi Predict and Logi Report Designer. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from insightssoftware can be characterized by good support on the following topics:

  • reporting
  • predictive analytics
  • analytics platform
  • embedded analytics
  • dashboards
  • java
  • Windows
  • performance management
  • business intelligence
Logi Info Figuur 31: Logi Info
Logi Composer Figuur 32: Logi Composer
Logi Report Server Figuur 33: Logi Report Server

dossier insightssoftware BI & Analytics

12. Looker

Looker is widely known for its products Looker Studio, Looker API, LookML Dashboards and Looker Blocks. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from Looker are strong in the following areas, among others:

  • analytics
  • dashboards
  • business intelligence
  • embedded analytics
  • web analytics
  • marketing analytics
  • data modeling
  • SQL
  • SDK
  • analysis
LookML Figuur 34: LookML
Looker Studio Figuur 35: Looker Studio
Looker API Figuur 36: Looker API

dossier Looker

13. Microsoft BI & Analytics

The Business Intelligence tools from the BI & Analytics vendor Microsoft focuses on the support of the following functionality:

  • SQL
  • analytics
  • machine learning
  • R
  • analysis
  • IoT
  • reporting
  • data mining
  • business intelligence
  • stream analytics

Microsoft serves the market with the following products, among others: Power BI, Microsoft Azure, Microsoft SQL Server, Azure Synapse Analytics and Azure Stream Analytics (see the images below). We took a closer look at them.

Power BI Figuur 37: Power BI
Microsoft Azure Figuur 38: Microsoft Azure
Microsoft SQL Server Figuur 39: Microsoft SQL Server

dossier Microsoft BI & Analytics

14. MicroStrategy

MicroStrategy is widely known for its products MicroStrategy Web, MicroStrategy Intelligence Server, MicroStrategy Analytics, Hyperintelligence and MicroStrategy Desktop. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from MicroStrategy are strong in the following areas, among others:

  • analytics
  • business intelligence
  • Hadoop Gateway
  • mobile server
  • in-memory
  • reporting
  • data mining
  • R integration
  • analysis
MicroStrategy Web Figuur 40: MicroStrategy Web
MicroStrategy Intelligence Server Figuur 41: MicroStrategy Intelligence Server
MicroStrategy Analytics Figuur 42: MicroStrategy Analytics

dossier MicroStrategy

15. Oracle BI & Analytics

The most well-known products in the area of BI & Analytics of the company Oracle are Oracle Database, Oracle Analytics, OBIEE, Oracle Big Data and Oracle Data Integrator. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Oracle can be characterized by good support on the following topics:

  • analytics
  • business intelligence
  • SQL
  • data quality
  • R
  • analysis
  • big data appliance
  • data mining
  • infrastructure
Oracle Database Figuur 43: Oracle Database
Oracle Analytics Figuur 44: Oracle Analytics
OBIEE Figuur 45: OBIEE

dossier Oracle BI & Analytics

16. Pyramid Analytics

Pyramid Analytics is widely known for its products Pyramid Analytics, Pyramid Decision Intelligence Platform, Pyramid Data Science Workbench and Pyramid Smart Insights. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from Pyramid Analytics are strong in the following areas, among others:

  • decision intelligence
  • data science
  • business intelligence
  • analysis
  • data preparation
  • data discovery
  • analytics platform
  • reporting
  • dashboards
Pyramid Analytics Figuur 46: Pyramid Analytics
Pyramid Decision Intelligence Platform Figuur 47: Pyramid Decision Intelligence Platform
Pyramid Data Science Workbench Figuur 48: Pyramid Data Science Workbench

dossier Pyramid Analytics

17. Qlik

Qlik is widely known for its products QlikView, Qlik Sense Enterprise, Qlik Replicate and Qlik NPrinting. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from Qlik are strong in the following areas, among others:

  • geoanalytics
  • data integration
  • reporting
  • Windows
  • big data
  • business intelligence
  • analytics platform
  • analysis
  • machine learning
Qlik Sense Figuur 49: Qlik Sense
QlikView Figuur 50: QlikView
Qlik Sense Enterprise Figuur 51: Qlik Sense Enterprise

dossier Qlik

18. SAP BI & Analytics

The Business Intelligence tools from the BI & Analytics vendor SAP focuses on the support of the following functionality:

  • analytics
  • analysis
  • business intelligence
  • dashboards
  • data management
  • predictive analytics
  • machine learning
  • SQL
  • reporting
  • streaming

SAP serves the market with the following products, among others: SAP HANA, SAP BusinessObjects, SAP Analytics Cloud and SAP Lumira (see the images below). We took a closer look at them.

SAP HANA Figuur 52: SAP HANA
SAP BusinessObjects Figuur 53: SAP BusinessObjects
SAP Analytics Figuur 54: SAP Analytics

dossier SAP BI & Analytics

19. SAS

SAS is widely known for its products SAS Viya, SAS Visual Analytics, Dataflux, SAS/ACCESS and SAS Enterprise Guide. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from SAS are strong in the following areas, among others:

  • analytics
  • data management
  • visual analytics
  • forecasting
  • analysis
  • data integration
  • OLAP
  • machine learning
  • data quality
  • customer intelligence
SAS Viya Figuur 55: SAS Viya
SAS Visual Analytics Figuur 56: SAS Visual Analytics
Dataflux Figuur 57: Dataflux

dossier SAS

20. Sisense

Sisense is widely known for its products Elasticube Manager, Sisense Analytics, Sisense ElastiCube and Sisense Blox. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from Sisense are strong in the following areas, among others:

  • dashboards
  • business intelligence
  • usage analytics
  • big data
  • embedded analytics
  • data mining
  • predictive analytics
  • complex data
  • analytics platform
Elasticube Figuur 58: Elasticube
Elasticube Manager Figuur 59: Elasticube Manager
Sisense Analytics Figuur 60: Sisense Analytics

dossier Sisense

21. Tableau

The most well-known products in the area of BI & Analytics of the company Tableau are Tableau Server, Tableau Desktop, Tableau Online, Tableau Public and Tableau Prep Builder. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Tableau can be characterized by good support on the following topics:

  • analytics
  • data management
  • analysis
  • business intelligence
  • embedded analytics
  • dashboards
  • advanced analytics
  • Salesforce
  • data visualization
  • predictive analytics
Tableau Server Figuur 61: Tableau Server
Tableau Desktop Figuur 62: Tableau Desktop
Tableau Online Figuur 63: Tableau Online

dossier Tableau

22. ThoughtSpot

ThoughtSpot is widely known for its products SpotIQ, ThoughtSpot Embrace, ThoughtSpot DataFlow, ThoughtSpot mobile and ThoughtSpot Business Intelligence. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from ThoughtSpot are strong in the following areas, among others:

  • business intelligence
  • analysis
  • analytics platform
  • in-memory
  • iOS
  • natural language
  • artificial intelligence
  • Slack
  • Microsoft Teams
SpotIQ Figuur 64: SpotIQ
ThoughtSpot Embrace Figuur 65: ThoughtSpot Embrace
ThoughtSpot DataFlow Figuur 66: ThoughtSpot DataFlow

dossier ThoughtSpot

23. TIBCO

TIBCO is widely known for its products TIBCO Spotfire, TIBCO Data Science, TIBCO Data Virtualization, Jasperreports and TIBCO Analytics. The company is 100% specialized in BI & Analytics. Take a look at the images below. The Business Intelligence tools from TIBCO are strong in the following areas, among others:

  • analytics
  • streaming
  • real-time
  • data science
  • data virtualization
  • geoanalytics
  • analysis
  • MDM
  • data management
  • reporting
TIBCO Spotfire Figuur 67: TIBCO Spotfire
TIBCO Data Science Figuur 68: TIBCO Data Science
TIBCO Data Virtualization Figuur 69: TIBCO Data Virtualization

dossier TIBCO

24. Wyn Enterprise

As far as we have been able to ascertain, Wyn Enterprise currently has only one primary product: Wyn Enterprise Business Intelligence. Take a look at the screen shots below. The Business Intelligence tools from Wyn Enterprise are strong in the following areas, among others:

  • dashboards
  • enterprise business intelligence
  • embedded business intelligence
  • reporting
  • analytics
  • business intelligence platform
  • self-service BI
  • interactive dashboards
  • real-time
Wyn Enterprise Business Intelligence Figuur 70: Wyn Enterprise Business Intelligence
Wyn Enterprise Business Intelligence Figuur 71: Wyn Enterprise Business Intelligence
Wyn Enterprise Business Intelligence Figuur 72: Wyn Enterprise Business Intelligence

dossier Wyn Enterprise

25. Yellowfin

The most well-known products in the area of BI & Analytics of the company Yellowfin are Yellowfin Signals, Yellowfin Suite, Yellowfin Dashboards, Yellowfin SAML Bridge and Yellowfin Mobile BI. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Yellowfin can be characterized by good support on the following topics:

  • analytics
  • dashboards
  • business intelligence
  • data preparation
  • analysis
  • data discovery
  • reporting
  • data science
  • advanced analytics
  • data storytelling
Yellowfin Signals Figuur 73: Yellowfin Signals
Yellowfin Suite Figuur 74: Yellowfin Suite
Yellowfin Dashboards Figuur 75: Yellowfin Dashboards

dossier Yellowfin

26. Zoho BI & Analytics

The most well-known products in the area of BI & Analytics of the company Zoho are Zia, Zoho Databridge, Zoho Analytics Server and Zoho DataPrep. We analyzed and evaluated these BI & Analytics products in depth and meticulously. The Business Intelligence tools from Zoho can be characterized by good support on the following topics:

  • analytics
  • data preparation
  • dashboards
  • CRM
  • self-service data preparation
  • SQL
  • business intelligence
  • analysis
  • pivot tables
  • reporting
Zoho Analytics Figuur 76: Zoho Analytics
Zia Figuur 77: Zia
Zoho Databridge Figuur 78: Zoho Databridge

dossier Zoho BI & Analytics

What can you expect from Business Intelligence tools?

Business intelligence tools provide organizations with reliable management information and refined insights to improve decision-making and collaboration. These tools provide the means for efficient reporting, in-depth analysis of (large amounts of) data, statistics, analysis and dashboards of the relevant KPIs.

The 7 benefits of Business Intelligence tools:

  • Provides clear insight into all your business data, external data and big data analytics
  • Ensures clear visualization and availability of management information
  • Provides insight into how processes run or go wrong
  • Empowers users to improve their business processes
  • When used, improves the overall performance of the organization
  • Offers perfect support for performance management/decision making
  • Easy monitoring and clear reporting thanks to intelligent dashboards

Wide range of tools for Business Analytics

In the Netherlands alone, there are more than 20 different BI tools available. They were once developed by mega brands such as Microsoft, Cognos or SAP Business Objects. In addition, there are numerous smaller software developers worldwide who have also built very good business intelligence tools that are suitable for specific industries or different types of BI applications. Not for nothing is the adage: “different tools for different purposes”. Think of parties like Qlik or Tableau Software. Despite the wide choice, finding and selecting the right Business Intelligence tool is often a laborious task. It is quite a job.

The BI & Analytics Guide™ The BI & Analytics Guide™If you need help choosing the right BI or data science tool for you, the BI & Analytics Guide can help you to quickly arrive at a shortlist and make a final selection. Our BI & Analytics Guide gives you many comparison functionalities. See which vendor excels in which area and compare vendors in just a few clicks.BI & Analytics Guide™ 2024

Excel is known as “the most abused BI tool.”

Selecting the wrong tool can have considerable impact on your organization. Companies that are not successful often have a problem with their information infrastructure. The BI tools they are using are not efficiently extracting the desired management information. Excel is the most obvious example and is not known as the most abused BI tool for nothing.

How do you make a good choice that fits your organization?

  1. Define the most important BI tool selection criteria: IT needs and user requirements.
  2. With this list you contact the vendors for the answers (RFI)
  3. Analyze all data from the different Business Intelligence vendors
  4. Start a proof of concept and choose the solution that best fits your requirements

You can skip steps 1 through 3 completely when you purchase our independent BI research. We take care of all the difficult and time consuming preliminary work. You save a lot of valuable time.

Let us help you with your BI tool choice

We know from experience that selecting the right software is a labor-intensive process. We have been helping organizations through this process for more than 15 years, including our powerful assessment tool: the Business Intelligence & Analytics Guide and independent BI consulting.

The 250+ functionalities of Business Intelligence software

Business Intelligence tools come in many different shapes and flavors. Some have excellent reporting functionality and others are great for dashboarding. Others run only on the Windows platform. In our research we compare all these tools on 250+ criteria that are important for achieving the best results with business analytics. So then you don’t need to do this research.

BI tools linked to the decision making process

The Business Intelligence architecture will not be able to produce good results if we cannot link tools to it. This blog provides an overview of the most important Business Intelligence tools (BI Tools) in relation to the decision-making cycle. It also describes the purposes, the features and the workings of these tools.

The decision making process

Each Business Intelligence tool plays a supporting role in one or more phases of the decision-making cycle. The decision-making cycle comprises of the following phases, which can be supported by the following tools (see figure below):

Phases in the decision-making process

Figure 1: Phases in the decision-making process

1. Collecting information using dashboards and reports

The decision-making cycle starts with gathering the right information: ‘scanning’ the environment (or the internal organization) in order to see if a problem exists. Mainly dashboards and reports are used for this purpose. This first phase should be seen as a ‘wake-up’ moment during which any current or potential deviation from the desired situation is a decision problem. In order to qualify or trace something as a problem, the first phase should – in principle – include (or be preceded by) a process in which we identify our organizational objectives.

2. Designing and analyzing using interactive analysis and data mining

Once a problem is discovered, we know where the issue resides but we do not yet know its exact location or its whys and wherefores. For example: the customer satisfaction indicator on the dashboard flashes. Subsequently, we will want to find out what causes this. We may, for example, use interactive analysis ‘on-the-fly’ to split out customer satisfaction per region, per account manager and, if necessary, per product group.

OLAP

We might also use interactive analysis (OLAP) in order to easily compare the number of complaints with the customer satisfaction in the same region and period. By doing this, we gain insight into the reasons why customers are less satisfied – a recently launched product exhibiting start-up problems, to name a random example. We use data mining – discovering ‘hidden’ relationships – to gain insight into characteristics that are a determining factor for more complex issues such as fraud. In such cases, interactive analysis is not sufficient because we generally lack the required detail data. In addition, the complexity associated with discovering such (causal) relationships is simply a bridge too far for interactive analysis.

Very crucial for strategic decision making

This phase in the decision-making process seems to be crucial for strategic decision-making, because it is during this phase that we determine our entire course in terms of decision-making.

(Mintzberg, 2004)

It is thus important to apply these tools well and to adjust the organization accordingly. This also means that an effective working relationship should arise between managers and analysts so that the intuition and the authority of the managers can go together with the analytical brain of the analyst and with the methods and functionalities available to him (or her).

3. Selecting and implementing using ad hoc query, what-if and forecasting

Once we have established the cause of a problem and we have mapped the (causal) relationships, we can take action – in consultation with managers and stakeholders. Ad hoc query (‘ad hoc’ querying of data sets) can support this. We may for example use ad hoc query to create a detailed set of customers who did not place any orders in the last month, based on the results of the interactive analysis. Subsequently, we can write a letter to the selected customers in which we emphasize the benefits of doing business with us and include some interesting offers. We use ‘what-if’ and forecasting in order to calculate actions in advance. In this way, we gain insight into the impact of our actions before we actually implement them.

4. Evaluating using dashboards and reports

Once we addressed a certain problem by taking action, we use either a dashboard or reports in order to assess whether the problem has indeed been resolved. It may be that the problem reflects a key success factor of the organization, which we did not know about yet. If this is the case, we can place the key success factor – including the associated KPI – on the dashboard or in the report to permanently evaluate it. In this way, it becomes an integral part of the organization’s management model.

Separate components that are hardly related

Relatively many organizations still appear to regard the above-mentioned tools as separate components that are hardly related. For Business Intelligence to be effective, it is however, of the utmost importance that the tools can work together very closely, creating a solid and smoothly operating entity. Users should ideally be able to both use and apply the tools more or less unwittingly in their daily activities. Metadata, web technology and a proper architecture play an important role in achieving this.

Increase the coherence between the BI tools

Additionally, the suppliers of BI tools undertake actions – based on the integral needs expressed by users – to increase the coherence between different tools. Portals are a typical example of this development. However, we cannot start celebrating yet: practice shows that when it comes to integration of different tools within the portal, there is still a lot to be desired. Unfortunately, it also still happens that certain functionalities are present in the desktop version , but have not yet been implemented in the web version.

Need help choosing the right business intelligence tool?

If you need help in the process of selecting the right Business Analytics tool for your company, please feel free to contact us for an appointment or more information.

About Passionned Group

Logo Passionned Group, the specialist in Business Intelligence ToolsPassionned Group is the specialist in designing and implementing Business Intelligence tools and Data Science. Our passionate BI consultants help large and small organizations transform into an intelligent organization. Every other year we organize the Dutch BI & Data Science Award©, the election of the smartest organization in the Netherlands.

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