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 2023. 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 8,741 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 2023. In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of IBM BI & Analytics for you.
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:
- analytics
- business intelligence > reporting
- artificial intelligence
- data discovery > analysis > forecasting
- big data
- BI infrastructure > authentication
- data connectivity > Teradata
- business intelligence > dashboards
Do you want to know the intricacies of all the functions (100+) of IBM Business Analytics? Download the BI & Analytics Guide™ 2023 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 to develop a robust, beautiful application for one of the related products like Cognos Analytics, IBM Watson, IBM Planning Analytics and IBM SPSS? 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:
- analytics
- business intelligence > reporting
- business intelligence > dashboards
- business intelligence
- data discovery > analysis > forecasting
- data connectivity > Microsoft Excel
- data governance > data management > data modeling
- data governance > data management > SQL
- data discovery
Are you now curious about all elements (100+) of Cognos Analytics? Download directly our BI & Analytics Guide™ 2023 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:
- analytics
- BI infrastructure > Application Programming Interface
- business intelligence
- BI infrastructure > operating systems > Windows
- data connectivity > XML
- decision management > performance management
- data connectivity > Microsoft Excel
- BI infrastructure > Application Programming Interface > REST APIs
- business intelligence > reporting
- data discovery > analysis > forecasting
Do you want to know the intricacies of all the functions (100+) of IBM Cognos TM1? Then order the BI & Analytics Guide™ 2023 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
- data connectivity > Microsoft Excel
- BI infrastructure > authentication
- BI infrastructure > operating systems > Windows
- BI infrastructure > authentication > LDAP
- data connectivity > OData
- BI infrastructure > Application Programming Interface > REST APIs
- data discovery > analysis
- business intelligence > reporting
- business intelligence
Are you curious about all characteristics (100+) of IBM Cognos TM1 Server? Download directly our BI & Analytics Guide™ 2023 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:
- real-time analytics > real-time
- business intelligence > dashboards
- business intelligence > dashboard
- business intelligence
- BI infrastructure > authentication > Single Sign-On
- data connectivity > XML
- business intelligence > reporting
- data connectivity > ODBC
- BI infrastructure > authentication
- data discovery > analysis
Are you now curious about all features (100+) of IBM Cognos Real-time Monitoring? In that case open the BI & Analytics Guide™ 2023 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:
- real-time analytics > real-time
- business intelligence > dashboards
- business intelligence > dashboard
- business intelligence
- BI infrastructure > authentication > Single Sign-On
- business intelligence > reporting
- BI infrastructure > authentication
- data discovery > analysis
- BI infrastructure > operating systems > java
- decision management > performance management > KPI
Are you now curious about all characteristics (100+) of IBM Cognos Real-time? In that case open the BI & Analytics Guide™ 2023 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:
- data connectivity > Microsoft Excel
- data discovery > analysis
- analytics
- business intelligence > reporting
- business intelligence > dashboards
- artificial intelligence
- data governance > data management > data modeling
- data discovery
- big data > massive volumes
Are you now curious about all elements (100+) of IBM Cognos Analysis? Open the BI & Analytics Guide™ 2023 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:
- data discovery > analysis
- business intelligence > reporting
- analytics
- business intelligence
- data connectivity > Microsoft Excel
- big data > large data
- multidimensional models > OLAP
- big data > massive volumes
- artificial intelligence
- data discovery
Are you curious about all elements (100+) of IBM Cognos Analysis Studio? In that case open the BI & Analytics Guide™ 2023 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:
- multidimensional models > cube
- business intelligence > reporting
- analytics
- data discovery > analysis
- multidimensional models > OLAP
- BI
- data integration > data warehousing
- data governance > data management > SQL
- BI infrastructure > operating systems > Windows
Are you now curious about all the functions (100+) of Cognos Cube Designer? Then download our BI & Analytics Guide™ 2023 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:
- artificial intelligence > natural language processing > natural language
- analytics
- artificial intelligence > machine learning
- big data > IoT
- AI > AI models
- BI infrastructure > Application Programming Interface
- big data > streaming
- BI infrastructure > scalability > Amazon Web Services
Do you want to know everything about all elements (100+) of IBM Watson? Open the BI & Analytics Guide™ 2023 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. The Watson Natural Language Processing can be best characterized by the following properties:
- artificial intelligence > natural language processing > natural language
- artificial intelligence
- data discovery > analysis
- BI infrastructure > Application Programming Interface
- data discovery > analysis > sentiment analysis
- big data > unstructured data
- performance optimization > data pipelines
- artificial intelligence > algorithms
- artificial intelligence > Python
Do you want to know everything about all the functionalities (100+) of Watson Natural Language Processing? Download directly our BI & Analytics Guide™ 2023 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:
- data discovery > analysis
- regressions
- analytics
- artificial intelligence > machine learning
- analytics > advanced analytics > predictive analytics
- artificial intelligence > R
- BI infrastructure > operating systems > Windows
- data discovery > analysis > statistical analysis
- data discovery > analysis > forecasting
- artificial intelligence > machine learning > machine learning models
Are you now curious about all the functions (100+) of IBM SPSS? Download directly our BI & Analytics Guide™ 2023 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. The IBM SPSS Statistics can be best characterized by the following functionalities:
- data discovery > analysis
- analytics
- regressions
- regression
- data governance > data management
- data discovery > analysis > statistical analysis
- analytics > advanced analytics > predictive analytics
- business intelligence > report
- BI infrastructure > open source
- artificial intelligence
Are you curious about all characteristics (100+) of IBM SPSS Statistics? Then order the BI & Analytics Guide™ 2023 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. IBM SPSS Modeler can be defined by the following functionalities:
- analytics > advanced analytics > predictive modeling > predictive models
- artificial intelligence > data mining
- artificial intelligence > machine learning
- big data > unstructured data
- data discovery > analysis
- analytics > advanced analytics
- artificial intelligence > algorithms
- analytics > advanced analytics > text analytics
- artificial intelligence > machine learning > machine learning models
Are you now curious about all characteristics (100+) of IBM SPSS Modeler? Download directly our BI & Analytics Guide™ 2023 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:
- analytics > advanced analytics > text analytics
- data discovery > analysis
- analytics > advanced analytics > text mining
- data discovery > analysis > text analysis
- big data > unstructured data
- analytics > advanced analytics > predictive analytics
- artificial intelligence > natural language processing
- artificial intelligence > R
- big data > unstructured text
Are you curious about all features (100+) of IBM SPSS Text Analytics? Download the BI & Analytics Guide™ 2023 here.
What is IBM SPSS Modeler Server?
Other names by which this software product is known: SPSS Modeler Server
We do not display here all the features but, in this paragraph, we report the (main) characteristics of IBM SPSS Modeler Server, including some of its features and any related products. The IBM SPSS Modeler Server can be best characterized by the following properties:
- analytics > advanced analytics > predictive modeling > predictive models
- artificial intelligence > data mining
- big data > unstructured data
- analytics > advanced analytics
- BI infrastructure > operating systems > Windows
- artificial intelligence > R
- BI infrastructure > authentication > Single Sign-On
- big data > massive volumes
- analytics > advanced analytics > predictive analytics
Are you curious about all characteristics (100+) of IBM SPSS Modeler Server? Download the BI & Analytics Guide™ 2023 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:
- analytics > advanced analytics > predictive analytics
- data discovery > analysis
- artificial intelligence > machine learning
- analytics > advanced analytics
- data discovery > analysis > statistical analysis
- big data
- artificial intelligence > data mining
- analytics > advanced analytics > text analytics
- analytics > advanced analytics > predictive modeling
Are you curious about all the functions (100+) of IBM SPSS Predictive Analytics? Download directly our BI & Analytics Guide™ 2023 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:
- data governance > data management > MDM
- data governance > data management > data replication
- data governance > data management > master data management
- data governance > data quality
- data discovery > analysis
- data integration > data warehousing
- BI infrastructure > operating systems > Windows
- data governance > data management > CDC
Do you want to know the intricacies of all the functions (100+) of IBM Infosphere? Then download our BI & Analytics Guide™ 2023 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 > Windows
- data integration
- data governance > data quality
- BI infrastructure > operating systems > Linux
- performance optimization > massively parallel processing
- data integration > data integration platform
- BI infrastructure > scalable
- business intelligence > reporting
- data integration > data warehousing
- performance optimization > parallel processing
Are you now curious about all characteristics (100+) of IBM Infosphere Information Server? Download directly our BI & Analytics Guide™ 2023 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:
- data discovery > analysis
- data governance > data quality
- business intelligence > reporting
- BI infrastructure > repository
- data connectivity > Hadoop Distributed File System
- BI infrastructure > Application Programming Interface
- data governance > data quality > data profiling
- data connectivity > Hadoop Spark
- data connectivity > ODBC
Are you curious about all the functionalities (100+) of IBM Infosphere Information Analyzer? Then order the BI & Analytics Guide™ 2023 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:
- data connectivity > IBM Netezza
- data governance > data management > SQL
- analytics
- data integration > data warehouse
- data integration > data warehousing
- data connectivity > JSON
- artificial intelligence > Python
- data discovery > analysis
- artificial intelligence > machine learning
- artificial intelligence > data science
Are you curious about all characteristics (100+) of Netezza? Then download our BI & Analytics Guide™ 2023 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:
- data connectivity > IBM Netezza
- analytics
- data integration > data warehousing
- artificial intelligence > machine learning
- data governance > data management > SQL
- BI infrastructure > scalability > Amazon Web Services
- artificial intelligence > data science
- data connectivity > JSON
- BI infrastructure > web services
- big data > massive volumes
Are you curious about all features (100+) of Netezza Performance Server? Then order the BI & Analytics Guide™ 2023 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 > operating systems > Red Hat
- artificial intelligence
- BI infrastructure > hybrid cloud
- real-time analytics > real-time
- data governance > data management > data replication
- AI
- data discovery > analysis
- BI infrastructure > operating systems > z/OS
- BI infrastructure > Application Programming Interface
- BI infrastructure > scalability > Amazon Web Services
Do you want to know the intricacies of all the functionalities (100+) of IBM Cloud Pak? In that case open the BI & Analytics Guide™ 2023 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
- data connectivity > Microsoft Excel
- business intelligence > reporting
- BI infrastructure > Application Programming Interface
- BI infrastructure > operating systems > Windows
- data discovery > analysis
- artificial intelligence
- BI infrastructure > operating systems > Linux
- data connectivity > IBM Db2
- decision management > performance management
Do you want to know everything about all features (100+) of IBM Planning Analytics? Download directly our BI & Analytics Guide™ 2023 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:
- data connectivity > Hadoop Distributed File System
- data connectivity > Hadoop
- data governance > data management > SQL
- big data
- analytics
- BI infrastructure > operating systems > Windows
- business intelligence > reporting
- BI infrastructure > operating systems > Linux
- big data > massive volumes
- BI infrastructure > open source
Are you curious about all elements (100+) of IBM BigInsights? Then download our BI & Analytics Guide™ 2023 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:
- multidimensional models > OLAP
- data connectivity > IBM Db2
- data discovery > analysis
- data integration > data warehousing
- BI infrastructure > scalability
- business intelligence > reporting
- BI infrastructure > operating systems > z/OS
- BI infrastructure > operating systems > Unix
- multidimensional models > cube
- data integration > data warehousing > data mart
Do you want to know everything about all characteristics (100+) of DB2 OLAP Server? Then download our BI & Analytics Guide™ 2023 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 > advanced analytics > video analytics
- artificial intelligence
- big data > streaming
- business intelligence > reporting
- artificial intelligence > machine learning
- real-time analytics > real-time
- analytics > advanced analytics > text analytics
- artificial intelligence > natural language processing
- BI infrastructure > hybrid cloud
Are you now curious about all the functionalities (100+) of IBM Video Analytics? Then download our BI & Analytics Guide™ 2023 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:
- data integration > data warehouse
- data integration > data warehousing
- BI infrastructure > operating systems > Unix > AIX
- data discovery > analysis
- data integration > data warehouses
- data integration > data warehousing > data marts
- data governance > data management
- business intelligence
- BI infrastructure > operating systems > Windows
- business intelligence > reporting
Are you curious about all the functionalities (100+) of IBM Banking Data Warehouse? In that case open the BI & Analytics Guide™ 2023 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 > data visualization > radar charts and > candlestick charts.
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: 11.2.4 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 1.2.0
- Cognos Cube Designer: 11.0.13
- DB2 OLAP Server: 8 7.1 1.1 1
- IBM Banking Data Warehouse: 8.7.0 8.7 8.2.0
- IBM BigInsights: 4.1 4
- 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: 11.7.1.1 11.7 11 9.1 8.1 8.0
- IBM Planning Analytics: 2.0.71 2.0.63 2.0.9 2.0
- IBM SPSS: 15
- IBM SPSS Modeler: 18.3 18.2.2 18.2 18.0 14.0
- IBM SPSS Modeler Server: 18.3 18.2.2 18.1 14.2
- IBM SPSS Statistics: 32 29.0 29 28.0.1 28.0 28 27 26 25 24 23
- IBM SPSS Text Analytics: 14.0
- IBM Video Analytics: 1.0.5 1
- Netezza: 7.2.1 7.2
- Netezza Performance Server: 800 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 running 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: recurrent neural networks, operations analytics, decision management, mobile server and video analytics.
The advantages and disadvantages of IBM Business Analytics
Figure 59: 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, et cetera. These are not necessarily definitive because: IBM can currently work to creating missing functionality at this time (such as support for Google Sheets, waterfall chart, iPhone, sparklines, retail analytics, security assertion, Blob storage, predictive modeling and visual analysis).
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 97%, 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 2023.
2. IBM Data Governance
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘Data Governance’ with a score of 89%, 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 looked at the following two products: IBM Infosphere and IBM Infosphere Information Analyzer. In total, we examined 91 criteria in this category. Would you like to go into more depth with the topic ‘Data Governance’? Then download here our BI & Analytics Study 2023. Or take a deep dive in the following content:
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 88%, 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 Performance Optimization
The company has an excellent performance in our 100% vendor-independent BI & Analytics survey on the section ‘Performance Optimization’ with a score of 88%, 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 delve further into the topic ‘Performance Optimization’? Then download here our BI & Analytics Guide.
5. IBM Artificial Intelligence
The vendor IBM has an excellent score in our objective BI & Analytics survey on the subject ‘Artificial Intelligence’ with a score of 84%, relative to other vendors. We considered the following factors: machine learning, data mining, algorithms, computer vision, augmented reality, cognitive computing and machine intelligence. In doing so, we looked at the following five products: IBM Watson, IBM SPSS Statistics, IBM Cloud Pak, Watson Natural Language Processing and IBM Planning Analytics. In total, we examined 181 selection criteria within this main theme. Are you planning to specialize further in the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Guide 2023.
6. IBM Analytics
IBM has an excellent performance in our study of the theme ‘Analytics’, given that they score 84% on this, relative to other vendors. We looked at the following criteria, among others: analytics platform, customer analytics, marketing analytics, performance analytics, media analytics, manufacturing analytics and asset performance analytics. In doing so, we assessed the following five products: Netezza, IBM BigInsights, IBM Watson, IBM Cognos TM1 and Cognos Analytics. In total, we examined 130 aspects in this category. Would you like to go into more depth with the topic ‘Analytics’? Then download here our BI & Analytics Guide 2023. 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 82%, 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: IBM Cognos TM1, Cognos Analytics, IBM Cognos Real-time, IBM Cognos Real-time Monitoring and Cognos Cube Designer. In total, we examined 73 features within this discipline. Would you like to go into more depth with the topic ‘Business Intelligence’? Then download here our BI & Analytics Guide 2023.
8. IBM Data Connectivity
The vendor IBM has a good performance in our study on the section ‘Data Connectivity’. The score amounts to 76%, 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 2023.
9. IBM Mobile Business Intelligence
IBM has a good score in our objective BI & Analytics survey on the section ‘Mobile Business Intelligence’. The company scores 72% on this topic, relative to other vendors. We looked at the following criteria, among others: mobile server, mobile analytics, mobile dashboards and mobile push notifications. In total, we examined 10 features within this discipline. Would you like to learn more about the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Guide.
10. IBM Data Integration
The vendor IBM has a good score in our current BI & Analytics survey on the subject ‘Data Integration’ with a score of 68%, 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 analyzed the following two products: IBM Infosphere and IBM Infosphere Information Server. In total, we examined 76 criteria in this category. Are you planning to specialize further in the topic ‘Data Integration’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
11. IBM Data Discovery
IBM has a good score in our study on the section ‘Data Discovery’, given that they score 66% on this, relative to other vendors. We looked at the following criteria, among others: analysis, time series and data visualization. In doing so, we looked at the following three products: Cognos Analytics, IBM Cognos Analysis and IBM Cognos Analysis Studio. In total, we examined 398 criteria within this section. Are you excited about the topic ‘Data Discovery’? Then download here our BI & Analytics Guide.
12. IBM Big Data
The vendor IBM has a good score in our objective BI & Analytics survey of the theme ‘Big Data’ with a score of 64%, relative to other vendors. We looked at the following criteria, among others: streaming, complex data, massive volumes, big data management and big data computing. In doing so, we investigated the following five products: IBM BigInsights, IBM SPSS, IBM Infosphere, IBM Business Analytics and IBM SPSS Predictive Analytics. In total, we examined 59 criteria within this section. Would you like to delve further into the topic ‘Big Data’? Then download here our BI & Analytics Guide 2023. Or take a deep dive in the following content:
13. IBM Real-time Analytics
IBM has a good rating in our independent BI & Analytics survey on the subject ‘Real-time Analytics’ with a score of 60%, compared to other vendors. We used the following selection criteria: real-time, real-time data and data ingestion. In total, we examined 19 selection criteria within this main theme. Would you like to learn more about the topic ‘Real-time Analytics’? Then download here our BI & Analytics Guide.
14. IBM Self-service BI
IBM has a good performance in our 100% vendor-independent BI & Analytics survey on the subject ‘Self-service BI’. The company scores 58% on this topic, relative to other vendors. We considered the following factors: self-service data preparation, self-service reporting, self-service analysis, self-service data analytics, self-service data visualization, self-service data exploration and self-service analytics platform. In total, we examined 14 criteria in this category. Are you excited about the topic ‘Self-service BI’? Then download here our BI & Analytics Guide 2023.
15. IBM Multidimensional Models
IBM has a good rating in our study on the section ‘Multidimensional Models’, given that they score 58% on this, compared to other vendors. The following criteria were used: OLAP, MOLAP, ROLAP 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.
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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, aviation, banking, biomedical, energy, fashion, financial services, food, health care, hospitality, insurance, life sciences, manufacturing, pharma, restaurants, 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 marketers.
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 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 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 BI infrastructure.
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.
