Enrich your knowledge on Cognos Analytics, IBM Watson, and IBM SPSS
In this focus article, we are showcasing a concise overview of our recently updated, independent BI & Analytics research on the software vendor IBM and its product portfolio (such as Cognos Analytics, IBM Watson, and IBM SPSS). IBM BI & Analytics scores better in our independent study than Oracle but slightly worse than TIBCO. Of all the categories in our research, IBM scored the best in BI infrastructure and scored the lowest on multidimensional models. Within the context of BI & Analytics, we have put together the main advantages and disadvantages of IBM Business Analytics, and arranged them by topic (BI, Big Data, data analytics, AI, and data science). We also point out the key functionalities of the software products such as Cognos Analytics, IBM Watson, and IBM SPSS et cetera.
How does IBM BI & Analytics score on different parts?
In our study, we also judged the various software products of IBM BI & Analytics software. We examined no less than 720 aspects. The figure below shows the strengths and weaknesses of IBM Business Analytics, in general terms. Please note that Passionned Group is 100% independent of the suppliers in the research. We are not a reseller, we do not make deals or have any ties to the vendor. Among other things, we help and advise companies in the proper selection of BI tooling.
Figure 1: The pros and cons of the software vendor IBM BI & Analytics. A top supplier can get a maximum of 100%. Source: The BI & Analytics Guide 2025. Do you need additional information about our research design? Click here to download this guide.
The IBM analysis has been established by collecting a lot of public big data and from there it was exhaustively analyzed. More than 9,011 documents have been scanned from this software vendor in recent times. In this analysis, both algorithms as a senior expert make their mark on performing the validation.The BI & Analytics Guide™ 2025 
In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of IBM for you. You get access to hundreds of (shorter) trainings, tech talks, lectures, demos, tutorials, and so on and always have the latest BI & AI news. This mini-course also assists you in reinforcing your knowledge about BI & Analytics.
IBM and their complete BI & Analytics product portfolio
The company IBM knows (a minimum of) 28 products in the realm of BI & Analytics. In order of popularity, we list the most important ones here:
What is IBM Business Analytics?
In this paragraph, we describe the key elements of IBM Business Analytics, including some of its features and any related products. This product group consists of Cognos Analytics, IBM Watson, IBM SPSS, IBM Infosphere, Netezza, IBM Cloud Pak, IBM Planning Analytics, IBM BigInsights, DB2 OLAP Server, IBM Video Analytics, and IBM Banking Data Warehouse. This product can be characterized by the following characteristics:
- analysis
- analytics
- business intelligence
- dashboards
- data science
- forecasting
- predictive analytics
- real-time
- reporting
- streaming
Do you want to know the intricacies of all the functions (100+) of IBM Business Analytics? Download the BI & Analytics Guide™ 2025 here.
Are you considering hiring a knowledgeable IBM Business Analytics specialist?
Do you want to hire an interim IBM Business Analytics specialist who can do a mountain of work for you, and implement a beautiful IBM Business Analytics application? Our specialists are happy to assist you. Indeed, hiring IBM Business Analytics developers is sometimes unnecessary and costly. Leave a message here and we will explore the business opportunities for you.
What is Cognos Analytics?
Other names by which this software product is known: Cognos, IBM Cognos Business Intelligence, Cognos Business Intelligence, IBM Cognos, Cognos BI, IBM Cognos Analytics
We do not display all the features here but, in this paragraph, we display the details of Cognos Analytics, including some of its features and any related products. This product group consists of IBM Cognos TM1, IBM Cognos Real-time Monitoring, IBM Cognos Real-time, IBM Cognos Analysis, and Cognos Cube Designer. This product/group of products can be characterized by the following properties:
- analysis
- analytics
- augmented analytics
- business intelligence
- dashboards
- data discovery
- generative AI
- interactive dashboards
- predictive forecasting
- reporting
Are you now curious about all elements (100+) of Cognos Analytics? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM Cognos TM1?
Other names by which this software product is known: Cognos TM1
In this part, we describe IBM Cognos TM1, including some of its features and any related products. This product group consists of IBM Cognos TM1 Server. IBM Cognos TM1 can be characterized by the following functionalities:
- analysis
- analytics
- dashboards
- financial reporting
- forecasting
- performance management
- real-time
- reporting
- web server
- Windows
Do you want to know the intricacies of all the functions (100+) of IBM Cognos TM1? Then order the BI & Analytics Guide™ 2025 here.
What is IBM Cognos TM1 Server?
Other names by which this software product is known: Cognos TM1 Server
In this section, we report the (main) characteristics of IBM Cognos TM1 Server, including some of its features and any related products. IBM Cognos TM1 Server can be best characterized by the following functionalities:
- analytics
- authentication
- cloud services
- cube
- Kerberos
- performance management
- share insights
- Unix
- web server
- Windows
Are you curious about all characteristics (100+) of IBM Cognos TM1 Server? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM Cognos Real-time Monitoring?
Other names by which this software product is known: Cognos Real-time Monitoring
We don’t reveal everything here but, in this paragraph, we describe the key elements of IBM Cognos Real-time Monitoring, including some of its features and any related products. The tool IBM Cognos Real-time Monitoring can be best characterized by the following functionalities:
- analysis
- business intelligence
- dashboards
- in-memory
- interactive dashboards
- real-time
- reporting
- SQL
- streaming
Are you now curious about all features (100+) of IBM Cognos Real-time Monitoring? In that case, open the BI & Analytics Guide™ 2025 here.
What is IBM Cognos Real-time?
We do not display all the features here but, in this paragraph, we describe the key elements of IBM Cognos Real-time, including some of its features and any related products. IBM Cognos Real-time can be characterized by the following features:
- analysis
- business intelligence
- cube
- dashboards
- in-memory
- real-time
- reporting
- SQL
- streaming
- Windows
Are you now curious about all characteristics (100+) of IBM Cognos Real-time? In that case, open the BI & Analytics Guide™ 2025 here.
What is IBM Cognos Analysis?
We do not display all the features here but, in this paragraph, we provide a description of IBM Cognos Analysis, including some of its features and any related products. This product group consists of IBM Cognos Analysis Studio. The tool IBM Cognos Analysis can be best characterized by the following features:
- advanced analytics
- analysis
- analytics
- business intelligence
- dashboards
- natural language
- natural language search
- notifications
- performance management
- reporting
Are you now curious about all elements (100+) of IBM Cognos Analysis? Open the BI & Analytics Guide™ 2025 here.
What is IBM Cognos Analysis Studio?
Other names by which this software product is known: Cognos Analysis Studio
In this paragraph, we report the (main) characteristics of IBM Cognos Analysis Studio, including some of its features and any related products. The tool IBM Cognos Analysis Studio can be best defined by the following properties:
- analysis
- analytics
- business intelligence
- dashboards
- natural language
- OLAP
- reporting
- self-service BI
Are you curious about all elements (100+) of IBM Cognos Analysis Studio? In that case, open the BI & Analytics Guide™ 2025 here.
What is Cognos Cube Designer?
We don’t reveal everything here but, in this paragraph, we report the (main) characteristics of Cognos Cube Designer, including some of its features and any related products. Cognos Cube Designer can be characterized by the following features:
- analysis
- analytics
- business intelligence
- cube
- in-memory
- Linux
- OLAP
- reporting
- scalability
- Windows
Are you now curious about all the functions (100+) of Cognos Cube Designer? Then download our BI & Analytics Guide™ 2025 here.
What is IBM Watson?
Other names by which this software product is known: Watson
We don’t reveal everything here but, in this paragraph, we display the details of IBM Watson, including some of its features and any related products. This product group consists of Watson Natural Language Processing. This product can be characterized by the following features:
- ABAP
- analytics
- artificial intelligence
- generative AI
- machine learning
- natural language
- natural language processing
- open source
- SDK
- time series
Do you want to know everything about all elements (100+) of IBM Watson? Open the BI & Analytics Guide™ 2025 here.
What is Watson Natural Language Processing?
In this part, we report the (main) characteristics of Watson Natural Language Processing, including some of its features and any related products. Watson Natural Language Processing can be best characterized by the following properties:
- algorithms
- analysis
- analytics
- artificial intelligence
- deep learning
- machine learning
- natural language
- natural language processing
- Python
- sentiment analysis
Do you want to know everything about all the functionalities (100+) of Watson Natural Language Processing? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM SPSS?
Other names by which this software product is known: SPSS
Under this heading, we display the details of IBM SPSS, including some of its features and any related products. This product group consists of IBM SPSS Statistics, IBM SPSS Modeler, and IBM SPSS Predictive Analytics. The product IBM SPSS can be best characterized by the following functionalities:
- algorithms
- analysis
- analytics
- data management
- machine learning
- predictive analytics
- reporting
- scalability
- statistical analysis
- Windows
Are you now curious about all the functions (100+) of IBM SPSS? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM SPSS Statistics?
Other names by which this software product is known: SPSS Statistics
In this part, we display the details of IBM SPSS Statistics, including some of its features and any related products. IBM SPSS Statistics can be best characterized by the following functionalities:
- algorithms
- analysis
- analytics
- big data
- data management
- machine learning
- multivariate analysis
- reporting
- scalability
- statistical analysis
Are you curious about all characteristics (100+) of IBM SPSS Statistics? Then order the BI & Analytics Guide™ 2025 here.
What is IBM SPSS Modeler?
Other names by which this software product is known: SPSS Modeler
In this part, we report the (main) characteristics of IBM SPSS Modeler, including some of its features and any related products. This product group consists of IBM SPSS Text Analytics and IBM SPSS Modeler Server. The tool IBM SPSS Modeler can be defined by the following functionalities:
- advanced analytics
- algorithms
- analysis
- analytics
- data mining
- machine learning
- predictive analytics
- predictive models
- text analytics
- unstructured data
Are you now curious about all characteristics (100+) of IBM SPSS Modeler? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM SPSS Text Analytics?
Other names by which this software product is known: SPSS Modeler Text Analytics, IBM SPSS Modeler Text Analytics
We don’t reveal everything here but, in this paragraph, we describe the key elements of IBM SPSS Text Analytics, including some of its features and any related products. This product/group of products can be best defined by the following functionalities:
- analysis
- analytics
- link analysis
- natural language
- natural language processing
- R
- scalability
- statistical analysis
- text analysis
- text analytics
Are you curious about all features (100+) of IBM SPSS Text Analytics? Download the BI & Analytics Guide™ 2025 here.
What is IBM SPSS Modeler Server?
Other names by which this software product is known: SPSS Modeler Server
We do not display all the features here but, in this paragraph, we report the (main) characteristics of IBM SPSS Modeler Server, including some of its features and any related products. IBM SPSS Modeler Server can be best characterized by the following properties:
- analysis
- analytics
- data mining
- data preparation
- data science
- ODBC
- predictive analysis
- R
- text analytics
- Windows
Are you curious about all characteristics (100+) of IBM SPSS Modeler Server? Download the BI & Analytics Guide™ 2025 here.
What is IBM SPSS Predictive Analytics?
Other names by which this software product is known: SPSS Predictive Analytics
We don’t reveal everything here but, in this paragraph, we describe IBM SPSS Predictive Analytics, including some of its features and any related products. This product can be characterized by the following properties:
- advanced analytics
- algorithms
- analysis
- analytics
- data mining
- data preparation
- forecasting
- machine learning
- predictive analytics
- text analysis
Are you curious about all the functions (100+) of IBM SPSS Predictive Analytics? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM Infosphere?
Other names by which this software product is known: Infosphere
In this section, we report the (main) characteristics of IBM Infosphere, including some of its features and any related products. This product group consists of IBM Infosphere Information Server and IBM Infosphere Information Analyzer. This product/group of products can be best characterized by the following functionalities:
- big data
- big data governance
- business intelligence
- CDC
- data governance
- data integration
- data integration platform
- data management
- data modeling
- MDM
Do you want to know the intricacies of all the functions (100+) of IBM Infosphere? Then download our BI & Analytics Guide™ 2025 here.
What is IBM Infosphere Information Server?
We don’t reveal everything here but, in this paragraph, we portrait IBM Infosphere Information Server, including some of its features and any related products. The tool IBM Infosphere Information Server can be best characterized by the following features:
- analysis
- data integration
- data integration platform
- data quality
- data warehousing
- Linux
- MPP
- parallel processing
- reporting
- Windows
Are you now curious about all characteristics (100+) of IBM Infosphere Information Server? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM Infosphere Information Analyzer?
Under this heading, we provide a description of IBM Infosphere Information Analyzer, including some of its features and any related products. The product IBM Infosphere Information Analyzer can be characterized by the following functionalities:
- analysis
- data governance
- data integration
- data profiling
- data quality
- Windows
Are you curious about all the functionalities (100+) of IBM Infosphere Information Analyzer? Then order the BI & Analytics Guide™ 2025 here.
What is Netezza?
In this paragraph, we report the (main) characteristics of Netezza, including some of its features and any related products. This product group consists of Netezza Performance Server. The product Netezza can be defined by the following functionalities:
- analytics
- business intelligence
- data warehousing
- IBM Netezza
- infrastructure
- Linux
- machine learning
- native
- parallel processing
- SQL
Are you curious about all characteristics (100+) of Netezza? Then download our BI & Analytics Guide™ 2025 here.
What is Netezza Performance Server?
We don’t reveal everything here but, in this paragraph, we give you insight into the key behaviors of Netezza Performance Server, including some of its features and any related products. The tool Netezza Performance Server can be best characterized by the following features:
- Amazon Web Services
- analytics
- business intelligence
- cloud data warehouse
- data management
- IBM Netezza
- OLE DB
- Python
- SQL
- web services
Are you curious about all features (100+) of Netezza Performance Server? Then order the BI & Analytics Guide™ 2025 here.
What is IBM Cloud Pak?
We do not display all the features here but, in this paragraph, we provide a description of IBM Cloud Pak, including some of its features and any related products. This product/group of products can be best defined by the following functionalities:
- analytics
- analytics platform
- artificial intelligence
- decision management
- hybrid cloud
- infrastructure
- kubernetes
- Red Hat
- SDK
- streaming
Do you want to know the intricacies of all the functionalities (100+) of IBM Cloud Pak? In that case, open the BI & Analytics Guide™ 2025 here.
What is IBM Planning Analytics?
In this paragraph, we display the details of IBM Planning Analytics, including some of its features and any related products. The product IBM Planning Analytics can be best characterized by the following features:
- analytics
- forecasting
- in-memory
- in-memory database
- native
- performance management
- real-time
- real-time insights
- reporting
- SaaS
Do you want to know everything about all features (100+) of IBM Planning Analytics? Download directly our BI & Analytics Guide™ 2025 here.
What is IBM BigInsights?
In this part, we describe IBM BigInsights, including some of its features and any related products. This product can be best defined by the following functionalities:
- algorithms
- analytics
- big data
- data mining
- JAQL
- native
- open source
- predictive modeling
- R
- SQL
Are you curious about all elements (100+) of IBM BigInsights? Then download our BI & Analytics Guide™ 2025 here.
What is DB2 OLAP Server?
In this section, we describe DB2 OLAP Server, including some of its features and any related products. This product/group of products can be defined by the following features:
- analysis
- cube
- data mining
- decision support
- IBM Db2
- OLAP
- OLAP database
- real-time analytics
- reporting
- scalability
Do you want to know everything about all characteristics (100+) of DB2 OLAP Server? Then download our BI & Analytics Guide™ 2025 here.
What is IBM Video Analytics?
Other names by which this software product is known: IBM Intelligent Video Analytics
In this section, we portrait IBM Video Analytics, including some of its features and any related products. This product/group of products can be characterized by the following features:
- analytics
- infrastructure
- live video analytics
- open source
- operating systems
- repository
- stream analytics
- streaming
- video analytics
- Windows
Are you now curious about all the functionalities (100+) of IBM Video Analytics? Then download our BI & Analytics Guide™ 2025 here.
What is IBM Banking Data Warehouse?
Under this heading, we provide a description of IBM Banking Data Warehouse, including some of its features and any related products. This product/group of products can be best defined by the following features:
- analysis
- business intelligence
- data governance
- data modeling
- data warehousing
- IBM Db2
- Linux
- reporting
- SQL
- Windows
Are you curious about all the functionalities (100+) of IBM Banking Data Warehouse? In that case, open the BI & Analytics Guide™ 2025 here.
Innovations of IBM Business Analytics tools and the version history
Lately, we see a negative trend when it comes to BI & Analytics functionality and support for various platforms, and data sources. The latest novelties are in the areas of data governance > data lineage > lineage graph, data discovery > analysis > guided analysis, and AI > conversational AI > conversational AI chatbot.
We reviewed IBM’s current releases of the total product range. Below you can see the respective version numbers of the various BI & Analytics products of IBM:
- Cognos Analytics: 12.0.2 12.0.1 12.0 11.2.4 11.2.3 11.2.2 11.2.1 11.2.0 11.2 11.1.7 fp6 11.1.7 fp5 11.1.7 11.1.6 11.1 11.0.13 11.0.12 11.0.11 11.0.9 11.0.8 11.0.7 11.0.0 1.2.0
- Cognos Cube Designer: 11.0.13
- DB2 OLAP Server: 8.1 8 7.1 7 1.1 1.0 1
- IBM Banking Data Warehouse: 8.7.0 8.7 8.2.0
- IBM BigInsights: 4.1 4
- IBM Business Analytics: 2022
- IBM Cloud Pak: 2021.2.1
- IBM Cognos Analysis Studio: 10.2.2 10.2.1 10.2.0 10.1.0
- IBM Cognos Analytics: 11
- IBM Cognos Real-time Monitoring: 10.2.1 10.1.1 10.1.0 10.1 10
- IBM Infosphere Information Analyzer: 2023
- IBM Infosphere Information Server: 2024 11.7.1.1 11.7 11.5.0 11 9.1 8.1 8.0
- IBM Planning Analytics: 2023 2.0.71 2.0.63 2.0.9.18 2.0.9.17 2.0.9.16 2.0.9.14 2.0.9 2.0
- IBM SPSS: 26 15
- IBM SPSS Modeler: 2024 2023 18.5 18.3 18.2.2 18.2 18.0 14.0
- IBM SPSS Modeler Server: 18.5 18.3 18.2.2 18.1 18.0 14.2
- IBM SPSS Statistics: 32 29.0.1 29.0 29 28.0.1 28.0 28 27 26 25 24 23 22 21.0
- IBM SPSS Text Analytics: 14.0
- IBM Video Analytics: 1.0.5 1
- IBM Watson: 2.0.0
- Netezza: 7.2.1 7.2
- Netezza Performance Server: 2024 2023 800 11.2.2.4 11.0.0.0 11
Behind each product are the version numbers, the most recent versions are mentioned first.
What are the licensing costs of Cognos Analytics, IBM Watson, and IBM SPSS?
In many cases, it can be difficult to determine the licensing costs of IBM BI & Analytics because it depends on the country, the number of users, the connectors to data sources, and at what point in the year you request a quote. And before the end of a fiscal quarter of IBM, you may be able to look forward to a decent discount. As part of a cloud-first strategy, it makes sense to run the software in the cloud. You then only pay for what you actually use in resources. The purchase cost of Cognos Analytics, IBM Watson, and IBM SPSS may not be the largest amounts, but maintenance and support can certainly put quite a strain on your annual budget.
What makes IBM BI & Analytics innovative
In our study, we see that IBM in the field of BI & Analytics software has a number of specific features and thus differentiates itself from the competition. This makes IBM Business Analytics more or less unique: live video analytics, forward fit, link analysis, workplace analytics, and multinomial logistic regression.
The advantages and disadvantages of IBM Business Analytics
Figure 86: Tag cloud with the strength-weakness analysis of IBM BI & Analytics
In the following sections, we describe all the advantages and disadvantages of IBM BI & Analytics, Cognos Analytics, IBM Watson, and IBM SPSS. These are not necessarily definitive because: IBM can currently work to creating missing functionality at this time (such as support for sparklines, iPhone, Microsoft Dynamics, self-service data discovery, visual analysis, natural language queries, horizontal bar chart, cohort analysis, density map, and KPI charts).
Share your opinion about IBM here
Write a review about IBM BI & Analytics here. Your experiences can then start to count in an even better assessment of the performance of IBM Business Analytics.
1. IBM BI Infrastructure
The vendor IBM has an excellent performance in our objective BI & Analytics survey on the section ‘BI Infrastructure’. The score amounts to 96%, relative to other vendors. We looked at the following criteria, among others: authentication, infrastructure, and SDK. In total, we examined 162 criteria in this category. Would you like to learn more about the topic ‘BI Infrastructure’? Then download here our BI & Analytics Study 2025.
2. IBM Performance Optimization
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘Performance Optimization’ with a score of 91%, relative to other vendors. We looked at the following criteria, among others: in-memory, MPP, materialized views, and quantum computing. In total, we examined 29 criteria in this category. Would you like to go into more depth with the topic ‘Performance Optimization’? Then download here our BI & Analytics Study 2025.
3. IBM Decision Management
The company has an excellent performance in our 100% vendor-independent BI & Analytics survey on the subject ‘Decision Management’ with a score of 91%, relative to other vendors. We looked at the following criteria, among others: performance management, decision-making platform, decision optimization, real-time decisioning, and automated decision-making. In total, we examined 30 features within this discipline. Would you like to learn more about the topic ‘Decision Management’? Then download here our BI & Analytics Guide.
4. IBM Data Governance
The company has an excellent performance in our 100% vendor-independent BI & Analytics survey on the section ‘Data Governance’ with a score of 88%, relative to other vendors. We looked at the following criteria, among others: data management, data encryption, data lineage, and data acquisition layer. In doing so, we analyzed the following two products: IBM Infosphere and IBM Infosphere Information Analyzer. In total, we examined 91 criteria in this category. Would you like to delve further into the topic ‘Data Governance’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
5. IBM Business Intelligence
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘Business Intelligence’ with a score of 87%, relative to other vendors. We considered the following factors: CRM, business intelligence platform, embedded business intelligence, and business process monitoring. In doing so, we looked at the following five products: Cognos Analytics, IBM Cognos Real-time, IBM Cognos Real-time Monitoring, Cognos Cube Designer, and IBM Business Analytics. In total, we examined 73 selection criteria within this main theme. Are you planning to specialize further in the topic ‘Business Intelligence’? Then download here our BI & Analytics Guide 2025.
6. IBM Artificial Intelligence
IBM has an excellent performance in our study of the theme ‘Artificial Intelligence’, given that they score 84% on this, relative to other vendors. We looked at the following criteria, among others: machine learning, data mining, algorithms, computer vision, augmented reality, cognitive computing, and machine intelligence. In total, we examined 181 aspects in this category. Would you like to go into more depth with the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Guide 2025. Or take a deep dive in the following content:
7. IBM Analytics
The vendor IBM has an excellent score in our recently updated, independent BI & Analytics study on the subject ‘Analytics’ with a score of 82%, relative to other vendors. The following criteria were used: analytics platform, customer analytics, marketing analytics, performance analytics, media analytics, and manufacturing analytics. In doing so, we studied the following five products: Netezza, IBM Watson, IBM Cognos TM1, Cognos Analytics, and Netezza Performance Server. In total, we examined 130 features within this discipline. Would you like to go into more depth with the topic ‘Analytics’? Then download here our BI & Analytics Guide 2025.
8. IBM Data Connectivity
The vendor IBM has a good performance in our study on the section ‘Data Connectivity’. The score amounts to 75%, relative to other vendors. We used the following selection criteria: XML, MongoDB, Amazon Redshift, Impala, Microsoft Excel, Microsoft Dynamics, and Microsoft Office. In total, we examined 91 features within this discipline. Would you like to go into more depth with the topic ‘Data Connectivity’? Then download here our BI & Analytics Guide 2025.
9. IBM Data Discovery
IBM has a good score in our objective BI & Analytics survey on the section ‘Data Discovery’. The company scores 72% on this topic, relative to other vendors. We looked at the following criteria, among others: analysis, data visualization, notifications, standard deviation, data storytelling, and share insights. In total, we examined 398 features within this discipline. Would you like to learn more about the topic ‘Data Discovery’? Then download here our BI & Analytics Guide.
10. IBM Real-time Analytics
The vendor IBM has a good score in our current BI & Analytics survey on the subject ‘Real-time Analytics’ with a score of 68%, relative to other vendors. We considered the following factors: real-time, real-time data, near real-time, real-time insights, real-time data warehousing, real-time big data, and real-time streaming data. In total, we examined 19 criteria in this category. Are you planning to specialize further in the topic ‘Real-time Analytics’? Then download here our BI & Analytics Guide.
11. IBM Mobile Business Intelligence
IBM has a good score in our study on the section ‘Mobile Business Intelligence’, given that they score 66% on this, relative to other vendors. We looked at the following criteria, among others: Android, iPad, and iPhone. In total, we examined 10 criteria within this section. Are you excited about the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Guide.
12. IBM Data Integration
The vendor IBM has a good score in our objective BI & Analytics survey of the theme ‘Data Integration’ with a score of 65%, relative to other vendors. We looked at the following criteria, among others: data warehousing, data virtualization, data wrangling, cross-database joins, and Extract-Transform-Load. In doing so, we investigated the following two products: IBM Infosphere and IBM Infosphere Information Server. In total, we examined 76 criteria within this section. Would you like to delve further into the topic ‘Data Integration’? Then download here our BI & Analytics Guide 2025. Or take a deep dive in the following content:
13. IBM Self-service BI
IBM has a good rating in our independent BI & Analytics survey on the subject ‘Self-service BI’ with a score of 58%, compared to other vendors. We used the following selection criteria: self-service data preparation, self-service reporting, and self-service analysis. In total, we examined 14 selection criteria within this main theme. Would you like to learn more about the topic ‘Self-service BI’? Then download here our BI & Analytics Guide.
14. IBM Big Data
IBM has a good performance in our 100% vendor-independent BI & Analytics survey on the subject ‘Big Data’. The company scores 58% on this topic, relative to other vendors. We considered the following factors: streaming, complex data, massive volumes, big data management, and big data computing. In doing so, we assessed the following two products: IBM BigInsights and IBM Infosphere. In total, we examined 59 criteria in this category. Are you excited about the topic ‘Big Data’? Then download here our BI & Analytics Guide 2025. Or take a deep dive in the following content:
15. IBM Multidimensional Models
IBM has a good rating in our study on the section ‘Multidimensional Models’, given that they score 56% on this, compared to other vendors. The following criteria were used: OLAP, ROLAP, MOLAP, and tabular data models. In total, we examined 14 criteria within this section. Would you like to go into more depth with the topic ‘Multidimensional Models’? Then download here our BI & Analytics Study.
Want to know more? Then order the BI & Analytics Guide™ 2025 here
In which sectors is IBM BI & Analytics most active?
In our current BI & Analytics survey, we also found out at which industries a supplier has a track record. These are the industries where IBM is most popular: aviation, biomedical, hospitality, manufacturing, pharma, public sector, and retail.
IBM software is most used by…
The BI & Analytics software from IBM is most often mentioned in combination with the following function: Database Administrators.
Training & education IBM BI & Analytics
We facilitate various training courses in the field of BI & Analytics but can also provide specific IBM training, for example as in-company. In these sessions, we delve into various software applications including Cognos Analytics, IBM Watson, and IBM SPSS. Of course, we frame the training with the ideas of the intelligent, data-driven organization.
In conclusion: IBM Business Analytics scores eminent
IBM has a compact product portfolio with which it scores eminent in our BI & Analytics survey. IBM BI & Analytics innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in many different sectors, and has developed best in BI infrastructure.
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