IBM Cognos Analytics with Watson

IBM Cognos Analytics with Watson

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Top Rated
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Score 8.4 out of 100
Top Rated
IBM Cognos Analytics with Watson

Overview

Recent Reviews

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Awards

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Popular Features

View all 28 features
  • Report Delivery Scheduling (66)
    9.2
    92%
  • Drill-down analysis (66)
    8.8
    88%
  • Formatting capabilities (67)
    8.7
    87%
  • Mobile Application (76)
    7.5
    75%

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Pricing

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On Demand - Standard

$10.00

Cloud
per month per user

On Demand - Premium

$40.00

On Premise
per month per user

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.ibm.com/products/cognos…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Starting price (does not include set up fee)

  • $10 per month per user

Features Scorecard

BI Standard Reporting

8.4
84%

Ad-hoc Reporting

8.7
87%

Report Output and Scheduling

8.7
87%

Data Discovery and Visualization

8.0
80%

Access Control and Security

8.9
89%

Mobile Capabilities

7.2
72%

Application Program Interfaces (APIs) / Embedding

7.8
78%

Product Details

What is IBM Cognos Analytics with Watson?

Cognos Analytics is an AI-fueled business intelligence platform that supports the entire analytics cycle, from discovery to operationalization. Cognos Analytics gives every user — whether data scientist, business analyst or non-specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about data with anyone in the organization.

IBM Cognos Analytics with Watson 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

Additional Features

  • Supported: AI Forecasting

IBM Cognos Analytics with Watson Integrations

IBM Cognos Analytics with Watson Competitors

IBM Cognos Analytics with Watson Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Linux, Mac
Mobile ApplicationApple iOS, Android
Supported CountriesGlobal
Supported LanguagesEnglish, French, German, Japanese, Brazilian Portuguese, Dutch, Finnish, Italian, Simplified Chinese, Russian, Spanish, Swedish, Hebrew, Urdu, Farsi

Frequently Asked Questions

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.

IBM Cognos Analytics with Watson starts at $10.

SAS Cost and Profitability Management, Tableau Public, and Tableau Server are common alternatives for IBM Cognos Analytics with Watson.

Reviewers rate Publish to PDF and Report Delivery Scheduling highest, with a score of 9.2.

The most common users of IBM Cognos Analytics with Watson are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Comparisons

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Reviews

(1-7 of 7)
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Gerrit Goewey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
No real problems with the implementations. Most of the issues we have are a matter of the limited resources of the smaller VMs and only keeping the services that we need for a specific demo turned on. This should not be a problem on a standard production server.
Robert Goodman | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
The implementation was handled very well. The initial implementation exposed a lot of disagreement between our campuses and departments as to how we define data. This was not entirely unexpected, but I thought that we did a nice job as a team to work through some of these challenges.