Overview
What is IBM Cognos Analytics?
IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.
Learn from top reviewers
Almost perfect
Best data representation visualization.
Good, but not perfect!
Great reporting and visualization
Effective software in data reporting and performance contract management
IBM Cognos Analytics
IBM Cognos Analytics, in my opinion, legacy leader modern laggard
Good BI tool for advanced analytics.
It's like a Swiss Army knife for our data
IBM Cognos Analytics Review
Great Data Visual tool that's let down by lack of integrations & customer support.
IBM Cognos for Automation, Business Performance Insights, and Advanced Learning
Unlocking Business Insights with IBM Cognos Analytics
Best Business AI Tool
IBM Cognos Analytics
How IBM Cognos Analytics Differs From Its Competitors
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
The data we collect is to make sure we make earth a better place to live hence we go a extra mile to make sure the data is secured and only the authorised persons have access the the data.
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
Data Security and Quality
Data Security and Quality
Self-Service
Data Security and Quality
Self-Service
The AI assistant natural language processing is also a great tool to fill the knowledge gap that is normal for clients using these kind of tools.
Data Security and Quality
Proper content management and data quality features improved the confidence in the quality of the data.
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Reviewer Pros & Cons
Pricing
On Demand - Standard
$10.00
On Demand - Standard
$10.60
On Demand - Premium
$42.40
Entry-level set up fee?
- Setup fee optional
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $10 per month per user
Product Demos
How to get started with IBM Cognos Analytics
IBM Cognos Analytics Product Tour
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 7.6Pixel Perfect reports(95) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 7.3Customizable dashboards(103) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 6.9Report Formatting Templates(100) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 7.6Drill-down analysis(105) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 7.4Formatting capabilities(106) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 7.5Integration with R or other statistical packages(73) Ratings
Integration with the open-source R predictive modeling environment.
- 7.9Report sharing and collaboration(102) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 8.3Publish to Web(27) Ratings
- 7.8Publish to PDF(100) Ratings
- 8.6Report Versioning(26) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 7.2Report Delivery Scheduling(103) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 8.1Delivery to Remote Servers(12) Ratings
Ability to deliver reports to remote servers
Data Discovery and Visualization
Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.
- 7.4Pre-built visualization formats (heatmaps, scatter plots etc.)(92) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 7.7Location Analytics / Geographic Visualization(88) Ratings
Location analytics is the visualization of geographical or spatial data.
- 7.5Predictive Analytics(85) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
- 7.5Pattern Recognition and Data Mining(23) Ratings
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Access Control and Security
Access control means being able to determine who has access to which data.
- 7.9Multi-User Support (named login)(99) Ratings
Named model access means that users have access based on name and password.
- 7.8Role-Based Security Model(98) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 7.3Multiple Access Permission Levels (Create, Read, Delete)(98) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 7.5Report-Level Access Control(27) Ratings
Report-level access control means that the type of report determines who has access to it.
- 7.9Single Sign-On (SSO)(81) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 7.3Responsive Design for Web Access(77) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 6.9Mobile Application(67) Ratings
A dedicated app for iOS and/or Android.
- 8.2Dashboard / Report / Visualization Interactivity on Mobile(73) Ratings
In-app dashboard reports and data visualization.
Application Program Interfaces (APIs) / Embedding
APIs are a set of routines, protocols, and tools for used for embedding one application in another
- 6.7REST API(61) Ratings
REST is an architecture style for designing networked applications
- 7.5Javascript API(59) Ratings
A Javascript API is a type of API
- 8.3iFrames(9) Ratings
An iFrame is an HTML document embedded inside another HTML document on a website
- 6.9Java API(11) Ratings
A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)
- 7.1Themeable User Interface (UI)(10) Ratings
A themeable user interface means that a specific visual them can be applied to it
- 7.8Customizable Platform (Open Source)(7) Ratings
A customizable, open source API Gateway is a fast and scalable type of API
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is IBM Cognos Analytics?
IBM Cognos Analytics Features
BI Platform Features
- Supported: Administration via Web Interface
- Supported: Live Connection to External Data
- Supported: Snapshot of External Data
- Supported: In-memory data model
- Supported: OLAP (Pre-processed cube representation)
- Supported: Multi-Data Source Reporting (Blending)
- Supported: ETL Capability
- Supported: ETL Scheduler
Supported Data Sources Features
- Supported: MS Excel Workbooks
- Supported: Text Files (CSV, etc)
- Supported: Oracle
- Supported: MS SQL Server
- Supported: IBM DB2
- Supported: MySQL
- Supported: ODBC
- Supported: Cloudera Hadoop
- Supported: IBM Netezza
- Supported: SAP Hana
- Supported: Salesforce
- Supported: SAP
BI Standard Reporting Features
- Supported: Pixel Perfect reports
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
Ad-hoc Reporting Features
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
Report Output and Scheduling Features
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Delivery Scheduling
Data Discovery and Visualization Features
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Location Analytics / Geographic Visualization
- Supported: Predictive Analytics
- Supported: Support for Machine Learning models
- Supported: Pattern Recognition and Data Mining
- Supported: Integration with R or other statistical packages
Access Control and Security Features
- Supported: Multi-User Support (named login)
- Supported: Role-Based Security Model
- Supported: Multiple Access Permission Levels (Create, Read, Delete)
- Supported: Report-Level Access Control
- Supported: Table-Level Access Control (BI-layer)
- Supported: Field-Level Access Control (BI-layer)
- Supported: Single Sign-On (SSO)
Mobile Capabilities Features
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
Application Program Interfaces (APIs) / Embedding Features
- Supported: REST API
- Supported: Javascript API
IBM Cognos Analytics Screenshots
IBM Cognos Analytics Video
IBM Cognos Analytics Integrations
IBM Cognos Analytics Competitors
IBM Cognos Analytics Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | Apple iOS, Android |
Supported Countries | Global |
Supported Languages | English, French, German, Japanese, Brazilian Portuguese, Dutch, Finnish, Italian, Simplified Chinese, Russian, Spanish, Swedish, Hebrew, Urdu, Farsi |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(577)Community Insights
- Pros
- Cons
User-Friendly Dashboards: Users have praised the user-friendly dashboards in IBM Cognos Analytics for enabling quick creation of custom dashboards and easy understanding of visual data representations. The intuitive design allows users to identify trends at a glance, enhancing their analytical capabilities.
AI-Powered Insights: Many reviewers have highlighted the value of the AI-powered Insights feature in IBM Cognos Analytics, which automatically identifies patterns and insights, enhancing analysis depth effortlessly. This feature has been instrumental in uncovering valuable insights that might have otherwise gone unnoticed.
Seamless Data Integration: Customers appreciate the seamless and efficient data integration capabilities of Cognos Analytics, allowing for easy merging of data from various sources like customer feedback and sales figures. The smooth integration process streamlines workflow efficiency and enhances overall data management practices.
Steep Learning Curve: Users have expressed that there is a steep learning curve for beginners when using the software, requiring a substantial amount of time to fully understand its functionalities. The user interface is considered outdated and not user-friendly, especially in comparison to more modern solutions available in the market.
Poor Mobile Capabilities: Users have expressed the need for better mobile capabilities. Users note that accessing reports on the go can be cumbersome. Users also express that the mobile interface is not as intuitive as the desktop.
Performance Issues with Large Datasets: Some users have encountered performance issues when working with large datasets, experiencing occasional lags that hinder their workflow efficiency. Additionally, they have noted that these performance issues can lead to delays in data analysis tasks, impacting productivity.