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IBM BI & Analytics

Enrich your knowledge on Cognos Analytics, IBM SPSS and IBM Watson
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 SPSS and IBM Watson). IBM BI & Analytics scores better in our independent study than Oracle but slightly worse than SAP. IBM is the most developed in decision management and the least strong in self-service BI. 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 SPSS and IBM Watson et cetera.
How does IBM BI & Analytics score on different parts?
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 2022. Do you need additional information about our research design? Click here to download this guide.
In our study we also judged the various software products of IBM BI & Analytics software. We examined no less than 690 aspects. The figure below shows in general terms what the strengths and weaknesses are of IBM Business Analytics. 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.
The IBM analysis has been established by collecting a lot of public big data and from there it was exhaustively analyzed. More than 6,534 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.
IBM BI & Analytics in our BI & Analytics Guide 2022
IBM BI & Analytics in our BI & Analytics Guide 2022
In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of IBM BI & Analytics 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. Download now.

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 SPSS, IBM Watson, 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:
- analytics
- artificial intelligence > data science
- artificial intelligence > machine learning
- big data
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > Teradata
- data discovery > analysis
Do you want to know the intricacies of all the functions (100+) of IBM Business Analytics? Download the BI & Analytics Guide™ 2022 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 an IBM Business Analytics application? Or do you want develop a robust, beautiful application for one of the related products like Cognos Analytics, IBM Watson, IBM Planning Analytics and IBM Cloud Pak? 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 here all the features 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:
- BI infrastructure > Application Programming Interface
- analytics
- artificial intelligence > decision tree
- business intelligence > dashboards > interactive dashboards
- business intelligence > reporting
- data discovery > analysis > forecasting > predictive forecasting
Are you now curious about all elements (100+) of Cognos Analytics? Download directly our BI & Analytics Guide™ 2022 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. The IBM Cognos TM1 can be characterized by the following functionalities:
- BI infrastructure > Application Programming Interface
- BI infrastructure > authentication
- BI infrastructure > operating systems > Windows
- analytics
- business intelligence > reporting
- data connectivity > XML
- data governance > data management > data migration
- decision management > performance management
- multidimensional models > cube
Do you want to know the intricacies of all the functions (100+) of IBM Cognos TM1? Then order the BI & Analytics Guide™ 2022 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. The IBM Cognos TM1 Server can be best characterized by the following functionalities:
- BI infrastructure > Application Programming Interface > REST APIs
- BI infrastructure > authentication
- BI infrastructure > high availability > load balancing
- BI infrastructure > operating systems > Windows
- data connectivity > Microsoft Excel
- data connectivity > OData
- data connectivity > XML
- data discovery > analysis
- multidimensional models > cube
Are you curious about all characteristics (100+) of IBM Cognos TM1 Server? Download directly our BI & Analytics Guide™ 2022 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. IBM Cognos Real-time Monitoring can be best characterized by the following functionalities:
- BI infrastructure > authentication > Single Sign-On
- BI infrastructure > operating systems > Windows
- BI infrastructure > web server
- analytics
- business intelligence > dashboards
- data connectivity > ODBC
- data connectivity > XML
- real-time analytics > real-time
Are you now curious about all features (100+) of IBM Cognos Real-time Monitoring? In that case open the BI & Analytics Guide™ 2022 here.



What is IBM Cognos Real-time?
We do not display here all the features but, in this paragraph, we describe the key elements of IBM Cognos Real-time, including some of its features and any related products. The IBM Cognos Real-time can be characterized by the following features:
- BI infrastructure > authentication > Single Sign-On
- BI infrastructure > operating systems > Windows
- BI infrastructure > operating systems > java
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > ODBC
- multidimensional models > cube
- real-time analytics > real-time
Are you now curious about all characteristics (100+) of IBM Cognos Real-time? In that case open the BI & Analytics Guide™ 2022 here.



What is IBM Cognos Analysis?
We do not display here all the features 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. IBM Cognos Analysis can be best characterized by the following features:
- BI infrastructure > operating systems > Windows
- analytics
- artificial intelligence
- big data > massive volumes
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > Microsoft Excel
- data discovery > analysis
Are you now curious about all elements (100+) of IBM Cognos Analysis? Open the BI & Analytics Guide™ 2022 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. IBM Cognos Analysis Studio can be best defined by the following properties:
- analytics
- big data > massive volumes
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > Microsoft Excel
- data connectivity > Microsoft Office
- data discovery > analysis
- multidimensional models > OLAP
Are you curious about all elements (100+) of IBM Cognos Analysis Studio? In that case open the BI & Analytics Guide™ 2022 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. The Cognos Cube Designer can be characterized by the following features:
- BI infrastructure > operating systems > Windows
- BI infrastructure > repository
- analytics
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > Microsoft Excel
- data governance > data management > data modeling
- multidimensional models > OLAP
- multidimensional models > cube
Are you now curious about all the functions (100+) of Cognos Cube Designer? Then download our BI & Analytics Guide™ 2022 here.



What is IBM SPSS?
Other names by which this software product is known: SPSS
We don’t reveal everything here but, in this paragraph, 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. This product can be characterized by the following features:
- analytics > advanced analytics > predictive analytics
- artificial intelligence > data mining
- artificial intelligence > machine learning
- big data > unstructured data
- business intelligence > reporting
- data discovery > analysis > forecasting
- data governance > data management > data preparation
- regressions
Do you want to know everything about all elements (100+) of IBM SPSS? Open the BI & Analytics Guide™ 2022 here.


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What is IBM SPSS Statistics?
Other names by which this software product is known: SPSS Statistics
In this part, we report the (main) characteristics of IBM SPSS Statistics, including some of its features and any related products. The IBM SPSS Statistics can be best characterized by the following properties:
- BI infrastructure > operating systems > Windows
- analytics > advanced analytics > predictive analytics
- artificial intelligence > R
- business intelligence > reporting
- data discovery > analysis > ad hoc analysis
- data discovery > analysis > forecasting
- data discovery > analysis > text analysis
- regressions
Do you want to know everything about all the functionalities (100+) of IBM SPSS Statistics? Download directly our BI & Analytics Guide™ 2022 here.



What is IBM SPSS Modeler?
Other names by which this software product is known: SPSS Modeler
Under this heading, we display the details 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 product IBM SPSS Modeler can be best characterized by the following functionalities:
- analytics > advanced analytics > predictive analytics
- analytics > advanced analytics > predictive modeling > predictive models
- analytics > advanced analytics > text analytics
- artificial intelligence > R
- artificial intelligence > algorithms
- artificial intelligence > data mining
- artificial intelligence > machine learning
- big data > unstructured data
Are you now curious about all the functions (100+) of IBM SPSS Modeler? Download directly our BI & Analytics Guide™ 2022 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
In this part, we display the details of IBM SPSS Text Analytics, including some of its features and any related products. The IBM SPSS Text Analytics can be best characterized by the following functionalities:
- analytics > advanced analytics > predictive analytics
- analytics > advanced analytics > predictive modeling > predictive models
- analytics > advanced analytics > text analytics
- analytics > advanced analytics > text mining
- artificial intelligence > machine learning
- data connectivity > ODBC
- data discovery > analysis > text analysis
- regressions
Are you curious about all characteristics (100+) of IBM SPSS Text Analytics? Then order the BI & Analytics Guide™ 2022 here.



What is IBM SPSS Modeler Server?
Other names by which this software product is known: SPSS Modeler Server
In this part, 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 defined by the following functionalities:
- BI infrastructure > Application Programming Interface
- BI infrastructure > operating systems > Windows
- analytics > advanced analytics > predictive analytics
- analytics > advanced analytics > predictive modeling > predictive models
- artificial intelligence > R
- artificial intelligence > data mining
- big data > unstructured data
- data connectivity > ODBC
Are you now curious about all characteristics (100+) of IBM SPSS Modeler Server? Download directly our BI & Analytics Guide™ 2022 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 the key elements of IBM SPSS Predictive Analytics, including some of its features and any related products. This product / group of products can be best defined by the following functionalities:
- analytics > advanced analytics > predictive analytics
- artificial intelligence > Python
- artificial intelligence > R
- artificial intelligence > machine learning
- business intelligence > reporting
- data discovery > analysis > statistical analysis
Are you curious about all features (100+) of IBM SPSS Predictive Analytics? Download the BI & Analytics Guide™ 2022 here.



What is IBM Watson?
Other names by which this software product is known: Watson
We do not display here all the features but, in this paragraph, we report the (main) characteristics of IBM Watson, including some of its features and any related products. This product group consists of Watson Natural Language Processing. The IBM Watson can be best characterized by the following properties:
- BI infrastructure > open source
- analytics
- artificial intelligence > AI > AI models
- artificial intelligence > AI > conversational AI
- artificial intelligence > Python
- artificial intelligence > machine learning
- artificial intelligence > natural language processing > natural language
- real-time analytics > real-time
Are you curious about all characteristics (100+) of IBM Watson? Download the BI & Analytics Guide™ 2022 here.



What is Watson Natural Language Processing?
We don’t reveal everything here but, in this paragraph, we describe Watson Natural Language Processing, including some of its features and any related products. This product can be characterized by the following properties:
- BI infrastructure > Application Programming Interface
- analytics > advanced analytics > text analytics
- artificial intelligence > machine learning
- artificial intelligence > natural language processing > natural language
- big data > unstructured data
- data discovery > analysis > sentiment analysis
Are you curious about all the functions (100+) of Watson Natural Language Processing? Download directly our BI & Analytics Guide™ 2022 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:
- BI infrastructure > operating systems > Windows
- analytics
- business intelligence > reporting
- data governance > data management > CDC
- data governance > data management > MDM
- data governance > data management > data preparation
- data governance > data quality
- data integration > Extract-Transform-Load
Do you want to know the intricacies of all the functions (100+) of IBM Infosphere? Then download our BI & Analytics Guide™ 2022 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. IBM Infosphere Information Server can be best characterized by the following features:
- BI infrastructure > operating systems > Linux
- BI infrastructure > operating systems > Unix > AIX
- BI infrastructure > operating systems > Windows
- BI infrastructure > scalability
- business intelligence > reporting
- data governance > data quality
- data integration > data warehousing
- performance optimization > MPP
- performance optimization > parallel processing
Are you now curious about all characteristics (100+) of IBM Infosphere Information Server? Download directly our BI & Analytics Guide™ 2022 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:
- BI infrastructure > Application Programming Interface
- BI infrastructure > operating systems > Windows
- BI infrastructure > repository
- data connectivity > Hadoop Distributed File System
- data connectivity > Hadoop Spark
- data connectivity > JDBC connectivity
- data discovery > analysis > classification analysis
- data governance > data lineage
- data governance > data quality
Are you curious about all the functionalities (100+) of IBM Infosphere Information Analyzer? Then order the BI & Analytics Guide™ 2022 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:
- BI infrastructure > authentication
- BI infrastructure > operating systems > Windows
- analytics
- artificial intelligence > machine learning
- data connectivity > IBM Netezza
- data connectivity > JDBC connectivity
- data connectivity > ODBC
- data discovery > analysis
- data governance > data management > SQL
- data integration > data warehousing > data warehouse
Are you curious about all characteristics (100+) of Netezza? Then download our BI & Analytics Guide™ 2022 here.



What is Netezza Performance Server?
We don’t reveal everything here but, in this paragraph, we give you insight in the key behaviors of Netezza Performance Server, including some of its features and any related products. Netezza Performance Server can be best characterized by the following features:
- BI infrastructure > scalability > Amazon Web Services
- analytics
- artificial intelligence > machine learning
- data connectivity > IBM Netezza
- data connectivity > JSON
- data connectivity > connectivity
- data governance > data management
- data integration > data warehousing > data warehouse
- performance optimization > MPP
Are you curious about all features (100+) of Netezza Performance Server? Then order the BI & Analytics Guide™ 2022 here.
What is IBM Cloud Pak?
We do not display here all the features 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:
- BI infrastructure > Application Programming Interface
- BI infrastructure > authentication
- BI infrastructure > hybrid cloud
- BI infrastructure > infrastructure
- BI infrastructure > operating systems > Red Hat
- BI infrastructure > scalability > Amazon Web Services
- BI infrastructure > scalability > cloud platform
- analytics > analytics platform
- artificial intelligence
Do you want to know the intricacies of all the functionalities (100+) of IBM Cloud Pak? In that case open the BI & Analytics Guide™ 2022 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:
- BI infrastructure > operating systems > Linux
- BI infrastructure > operating systems > Windows
- analytics
- artificial intelligence > natural language processing
- business intelligence > dashboards
- business intelligence > reporting
- data connectivity > Microsoft Excel
- data connectivity > Microsoft Office
- data discovery > analysis > forecasting
Do you want to know everything about all features (100+) of IBM Planning Analytics? Download directly our BI & Analytics Guide™ 2022 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:
- BI infrastructure > authentication
- analytics > advanced analytics > text analytics
- big data > massive volumes
- data connectivity > Hadoop Distributed File System
- data connectivity > Hadoop Spark
- data connectivity > Spark > Apache Spark
- data discovery > analysis
- data governance > data management > SQL
Are you curious about all elements (100+) of IBM BigInsights? Then download our BI & Analytics Guide™ 2022 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:
- BI infrastructure > operating systems > Linux
- BI infrastructure > operating systems > Windows
- BI infrastructure > operating systems > z/OS
- BI infrastructure > scalability
- artificial intelligence > R
- business intelligence > reporting
- data connectivity > IBM Db2
- data discovery > analysis
- multidimensional models > OLAP
Do you want to know everything about all characteristics (100+) of DB2 OLAP Server? Then download our BI & Analytics Guide™ 2022 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:
- BI infrastructure > Application Programming Interface
- BI infrastructure > infrastructure
- BI infrastructure > operating systems > Linux
- analytics > advanced analytics > video analytics
- artificial intelligence
- big data > streaming
- business intelligence > reporting
- data connectivity > XML
- mobile business intelligence > mobile server
Are you now curious about all the functionalities (100+) of IBM Video Analytics? Then download our BI & Analytics Guide™ 2022 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:
- BI infrastructure > operating systems > Unix > AIX
- BI infrastructure > operating systems > Windows
- BI infrastructure > operating systems > java
- BI infrastructure > operating systems > z/OS
- analytics
- artificial intelligence
- data discovery > analysis
- data integration > data warehousing > EDW
- data integration > data warehousing > data warehouse
Are you curious about all the functionalities (100+) of IBM Banking Data Warehouse? In that case open the BI & Analytics Guide™ 2022 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 BI infrastructure > authentication > JWT authentication, data connectivity > DynamoDB and artificial intelligence > conversational bots.
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: 11.2 11.1.7 fp3 11.1.7 fp2 11.1.7 11.1.6 11.1.5 11.1.4 11.1.3 11.1.2 11.1.1 11.1 11.0.13 11.0.12 11.0.8 11.0.7 11.0.6 11.0.5 11.0.0 11.0 11 10.2.2 10.2.1.1 10.2.1 fp1 10.2.1 10.2 10.1.1 10.1 10 8.4 8.3
- Cognos Cube Designer: 10.2.2
- DB2 OLAP Server: 8.2 8.1 8 7.1
- IBM Banking Data Warehouse: 8.7 8.6 8.5 8.3 8
- IBM BigInsights: 4.3 4.2 4.1 4
- IBM Cognos Analysis Studio: 10.2.1
- IBM Cognos Real-time Monitoring: 10.2 10.1 10
- IBM Cognos TM1: 10.3 10.2.2.7 10.2.2 fp1 10.2.2 10.2.0.1 10.2 10.1.1 10.1 10 9.5.2 9.4 9
- IBM Infosphere Information Server: 11.7.1 11.7 11.5.0.1 11.5 11 9.1.2 9.1 9 8.5
- IBM Planning Analytics: 46 2.0.9 2.0.7 2.0 2
- IBM SPSS: 26
- IBM SPSS Modeler: 196 18.3 18.2.2 18.2.1.1 18.2.1 18.2 18.1.1 18.1 18 17.1 17 16 15 14.2 14
- IBM SPSS Modeler Server: 18.3
- IBM SPSS Statistics: 113 110 28 27.0.1 27 26 25 24 23 22 21 20 19.0.0 19
- IBM Video Analytics: 3 2 1.6.1 1.6 1.5 1.0.5 1
- IBM Watson: 2.0.9.9
- Netezza: 11.2.0 10 7.2 6
- Netezza Performance Server: 11.0.4.1 11.0.0 11
Behind each product are the version numbers, the most recent versions are mentioned first.
What are the licensing costs of Cognos Analytics, IBM SPSS and IBM Watson?
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 running the software in the cloud. You then only pay for what you actually use in resources. The purchase cost of Cognos Analytics, IBM SPSS and IBM Watson 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: decision support, decision management, AI models, cluster analysis and spend analysis.
The advantages and disadvantages of IBM Business Analytics
Figure 77: 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 SPSS and IBM Watson, et cetera. These are not necessarily definitive because: IBM can currently work to creating missing functionality at this time (such as support for Unix).
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 Decision Management
The vendor IBM has an excellent performance in our objective BI & Analytics survey on the section ‘Decision Management’. The score amounts to 98%, relative to other vendors. We looked at the following criteria, among others: decision-making platform and automated decision-making. In doing so, we looked at the following products: IBM SPSS Predictive Analytics. In total, we examined 30 criteria in this category. Would you like to learn more about the topic ‘Decision Management’? Then download here our BI & Analytics Study 2022.
2. IBM BI Infrastructure
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘BI Infrastructure’ with a score of 93%, relative to other vendors. We looked at the following criteria, among others: authentication, infrastructure, open source, embedded analytics, operating systems, Jupyter Notebook and Application Programming Interface. In total, we examined 166 criteria in this category. Would you like to go into more depth with the topic ‘BI Infrastructure’? Then download here our BI & Analytics Study 2022.
3. IBM Analytics
The company has an excellent performance in our 100% vendor-independent BI & Analytics survey on the subject ‘Analytics’ with a score of 92%, relative to other vendors. We looked at the following criteria, among others: analytics platform, customer analytics, marketing analytics, performance analytics, media analytics and manufacturing analytics. In doing so, we looked at the following five products: Cognos Analytics, IBM Planning Analytics, IBM Business Analytics, IBM SPSS and Netezza. In total, we examined 127 features within this discipline. Would you like to learn more about the topic ‘Analytics’? 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 90%, relative to other vendors. We looked at the following criteria, among others: data management, data encryption, data lineage and data acquisition layer. In total, we examined 82 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 Data Connectivity
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘Data Connectivity’ with a score of 85%, relative to other vendors. We considered the following factors: XML, MongoDB, Amazon Redshift, Impala, Microsoft Excel, Microsoft Dynamics and Microsoft Office. In total, we examined 95 selection criteria within this main theme. Are you planning to specialize further in the topic ‘Data Connectivity’? Then download here our BI & Analytics Guide 2022.
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 doing so, we assessed the following five products: IBM Watson, IBM Cloud Pak, Netezza, IBM Business Analytics and Netezza Performance Server. In total, we examined 171 aspects in this category. Would you like to go into more depth with the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Guide 2022. Or take a deep dive in the following content:
7. IBM Business Intelligence
The vendor IBM has an excellent score in our recently updated, independent BI & Analytics study on the subject ‘Business Intelligence’ with a score of 83%, relative to other vendors. The following criteria were used: CRM, business intelligence platform, embedded business intelligence and business process monitoring. In doing so, we studied the following five products: Cognos Analytics, IBM Business Analytics, IBM Cognos Analysis, IBM Cognos TM1 and IBM Cognos Real-time Monitoring. In total, we examined 75 features within this discipline. Would you like to go into more depth with the topic ‘Business Intelligence’? Then download here our BI & Analytics Guide 2022.
8. IBM Big Data
The vendor IBM has a good performance in our study on the section ‘Big Data’. The score amounts to 77%, relative to other vendors. We used the following selection criteria: streaming, complex data, massive volumes, big data management and big data computing. In doing so, we analyzed the following two products: IBM BigInsights and IBM Business Analytics. In total, we examined 58 features within this discipline. Would you like to go into more depth with the topic ‘Big Data’? Then download here our BI & Analytics Guide 2022. Or take a deep dive in the following content:
9. IBM Real-time Analytics
IBM has a good score in our objective BI & Analytics survey on the section ‘Real-time Analytics’. The company scores 76% on this topic, relative to other vendors. We looked at the following criteria, among others: 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 20 features within this discipline. Would you like to learn more about the topic ‘Real-time Analytics’? Then download here our BI & Analytics Guide.
10. IBM Data Discovery
The vendor IBM has a good score in our current BI & Analytics survey on the subject ‘Data Discovery’ with a score of 76%, relative to other vendors. We considered the following factors: analysis, data visualization, notifications, standard deviation, data storytelling and share insights. In doing so, we analyzed the following two products: Cognos Analytics and IBM Business Analytics. In total, we examined 394 criteria in this category. Are you planning to specialize further in the topic ‘Data Discovery’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
11. IBM Performance Optimization
IBM has a good score in our study on the section ‘Performance Optimization’, given that they score 75% on this, relative to other vendors. We looked at the following criteria, among others: in-memory, caching and parallel processing. In total, we examined 29 criteria within this section. Are you excited about the topic ‘Performance Optimization’? Then download here our BI & Analytics Guide.
12. IBM Multidimensional Models
The vendor IBM has a good score in our objective BI & Analytics survey of the theme ‘Multidimensional Models’ with a score of 75%, relative to other vendors. We looked at the following criteria, among others: OLAP, MOLAP, ROLAP and tabular data models. In total, we examined 16 criteria within this section. Would you like to delve further into the topic ‘Multidimensional Models’? Then download here our BI & Analytics Guide 2022.
13. IBM Mobile Business Intelligence
IBM has a good rating in our independent BI & Analytics survey on the subject ‘Mobile Business Intelligence’ with a score of 75%, compared to other vendors. We used the following selection criteria: Android, iPad and iPhone. In total, we examined 11 selection criteria within this main theme. Would you like to learn more about the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Guide.
14. IBM Data Integration
IBM has a good performance in our 100% vendor-independent BI & Analytics survey on the subject ‘Data Integration’. The company scores 72% on this topic, relative to other vendors. We considered the following factors: data warehousing, data virtualization, data wrangling, cross-database joins and Extract-Transform-Load. In doing so, we assessed the following two products: IBM Infosphere and IBM Infosphere Information Server. In total, we examined 83 criteria in this category. Are you excited about the topic ‘Data Integration’? Then download here our BI & Analytics Guide 2022. Or take a deep dive in the following content:
15. IBM Self-service BI
IBM has a good rating in our study on the section ‘Self-service BI’, given that they score 68% on this, compared to other vendors. The following criteria were used: self-service data preparation, self-service reporting, self-service analysis, self-service data visualization, self-service data analytics, self-service data exploration and self-service analytics platform. In total, we examined 16 criteria within this section. Would you like to go into more depth with the topic ‘Self-service BI’? Then download here our BI & Analytics Study.
In which sectors is IBM BI & Analytics most active?
In our recently updated, independent BI & Analytics research on, we also looked at which industries a supplier has a track record. These are the industries where IBM is most popular: automotive, banking, construction, energy, fashion, financial services, food, health care, insurance, life sciences, manufacturing, retail, universities and utilities.
IBM software is most used by…
The BI & Analytics software from IBM is most often mentioned in combination with the following functions: data scientists and director.
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 incompany. For example, you can think about the following software: Cognos Analytics, IBM SPSS and IBM Watson. 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 extensive 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 lots of different sectors, and has developed best in decision management.
About Passionned Group
Passionned Group has specialized in 100% independent BI & Analytics consulting and the implementation of BI & Analytics solutions. Our driven and passionate consultants help businesses and governments to advance as intelligent, data-driven organizations.