Cognos Analytics vs Pyramid Analytics

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Our analysts compared Cognos Analytics vs Pyramid Analytics based on data from our 400+ point analysis of Business Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Cognos Analytics Software Tool
Pyramid Analytics Software Tool

Product Basics

IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues.

It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.
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Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.
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$50/User, Monthly
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Tailored to your specific needs
$10 Free, monthly, quote-based
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Tailored to your specific needs
Small 
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Windows
Mac
Linux
Android
Chromebook
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Linux
Android
Chromebook
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On-Premise
Mobile
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On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
we're gathering data
Email
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FAQ
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Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

Product Insights

  • Enhanced Decision Making: Cognos Analytics synthesizes data from various sources, providing comprehensive insights that empower users to make informed, data-driven decisions.
  • Time Efficiency: Automates the process of data collection and report generation, significantly reducing the time spent on these tasks and allowing teams to focus on analysis and strategy.
  • Customizable Dashboards: Offers the flexibility to create personalized dashboards that highlight key metrics, making it easier for users to access the information most relevant to their roles and objectives.
  • Scalability: Adapts to the growing data needs of a business, ensuring that as your company expands, Cognos Analytics can handle the increasing volume and complexity of data.
  • Data Accuracy: Minimizes human error by automating data collection and analysis, leading to more accurate insights and reducing the risk of costly mistakes.
  • Collaboration Enhancement: Facilitates better teamwork by providing a shared platform where team members can access, analyze, and discuss data insights in real-time.
  • Advanced Analytics: Utilizes AI and machine learning to uncover deep insights, predict trends, and identify patterns that might not be apparent through traditional analysis methods.
  • Comprehensive Reporting: Generates detailed reports that can be customized to suit different audiences, ensuring stakeholders receive the information they need in an understandable format.
  • Mobile Accessibility: Offers mobile support that allows users to access data and insights on the go, ensuring decision-makers are always informed, regardless of their location.
  • Regulatory Compliance: Helps ensure that data management practices comply with relevant regulations and standards, reducing the risk of legal issues and fines.
  • Cost Reduction: By streamlining data analysis processes and reducing the need for manual intervention, Cognos Analytics can lead to significant cost savings over time.
  • Improved Customer Insights: Analyzes customer data to provide a deeper understanding of customer behavior and preferences, enabling more targeted and effective marketing strategies.
  • Operational Efficiency: Identifies bottlenecks and inefficiencies in operations, allowing organizations to optimize processes for better performance and productivity.
  • Future-Proofing: Continuously updates to incorporate the latest technologies and analytics trends, ensuring that businesses remain competitive in a rapidly evolving digital landscape.
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  • Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
  • Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
  • Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
  • Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
  • Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
  • Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.
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  • Components: Boost the feature set of the core platform with components that enhance data modeling, visualization and analytics capabilities. 
  • Powerful Reporting: Create detailed charts, graphs, maps, voiceovers and repeat functions with the robust, professional reporting suite. Simplify reporting for non-technical users with express mode. 
  • Web-based Interface: Access the platform on any hardware via the web.
  • Natural Language-powered AI: Interrogate data and receive natural, consistent responses with a built-in AI, powered by NLP. 
  • Automated Modeling: Verify and combine data via automated modeling, and assess relationships between separate data points. 
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  • Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
  • Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
  • Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
  • Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
  • Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
  • Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.
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Product Ranking

#8

among all
Business Analytics Tools

#14

among all
Business Analytics Tools

Find out who the leaders are

Analyst Rating Summary

78
69
79
92
41
9
83
78
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Deployment Options
Extensibility
OS Support
Platform Functions
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Availability & Scalability
Data Management
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Advanced Analytics

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Cognos Analytics
Pyramid Analytics
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Dashboarding And Data Visualization Data Management Data Querying Embedded Analytics Geospatial Visualizations And Analysis Internet Of Things (IoT) Analytics Mobile BI Platform Functions Reporting 79 41 83 95 79 0 66 68 90 100 85 92 9 78 100 78 63 76 33 52 85 85 0 25 50 75 100
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83%
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13%
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78%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

Cognos Analytics
Pyramid Analytics
+ Add Product + Add Product
Availability & Scalability Data Sources Connectivity Deployment Options Extensibility OS Support Security 89 73 100 100 100 95 100 68 100 50 100 69 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 1251 reviews
Great User Sentiment 144 reviews
81%
of users recommend this product

Cognos Analytics has a 'great' User Satisfaction Rating of 81% when considering 1251 user reviews from 4 recognized software review sites.

89%
of users recommend this product

Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 recognized software review sites.

3.9 (306)
3.9 (9)
4.1 (120)
4.1 (7)
4.3 (358)
4.5 (128)
4.0 (467)
n/a

Synopsis of User Ratings and Reviews

Data Analysis and Visualization: All users who mention data analysis and presentation unanimously agree that this solution covers the full spectrum of BI analytics capabilities.
Data management: All users who mention data preparation praise its data integrations and effective metadata management, which ensure data consistency and accuracy across multiple reporting systems.
Functionality: Of users who mentioned this platform’s features, around 90% were satisfied with regular updates and enhancements which allow them to create faster, more responsive dashboards.
Reporting: Around 89% of users who mention reporting are satisfied, appreciating its ad-hoc reporting and report-sharing capabilities.
Setup: Excellent vendor support coupled with the ease of establishing data connectivity with data sources make installation of this solution a breeze, as approximately 87% of users have mentioned.
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Support: All users who mentioned support say that support teams were quick to reply and help out.
Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.
Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.
Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.
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Cost: Around 87% of users who mention cost feel that its licensing model is expensive when compared to other BI solutions.
Training: Approximately 45% of users who reviewed training say that the learning curve can be quite steep and though self-service training is available, they would prefer a formal learning program.
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Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.
Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.
Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.
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IBM Cognos Analytics is an excellent BI tool and rates very highly with users on all major counts. Users are unanimous in their praise of its data management and data analysis capabilities to provide a single source of truth. Having ventured into AI-powered tools with the 11.1.3 version in 2018, IBM is making bold strides to incorporate augmented intelligence into the platform. IBM has astutely combined this solution with the capabilities of one of its other offerings, Watson Analytics, for natural language processing - a game-changer for empowering non-technical users to create a vast range of dashboards. With AI-enabled exploration, users can review key drivers of metrics and identify gaps in data, though some users feel that more tools are needed for content store exploration through its relational database. It also rates excellently with users for its data integration and ad-hoc reporting capabilities, efficient metadata management and extensive data modeling features. Several strong features of this platform, as noted by reviewers, include Jupyter notebooks, regular updates to the platform and enhancements to data modules, though when it comes to integrating with Online Analytical Processing (OLAP) data sources and IBM Planning Analytics in particular, it comes up short. Version 11 of the platform comes with over-the-top installs for upgrades, which reduces time to set up; though some users feel that integrations built with the current SDK solution can be tedious to implement and maintain. Being part of the IBM software suite, it connects seamlessly to other IBM products under the same umbrella. However, integration with MS-Sharepoint is not supported; this can be managed with workarounds, but only for on-premise setups, not cloud-based deployments. The platform has a rich reporting repertoire with report burst capabilities, pivots and Cognos Event Studio for event-driven reports. However, many users feel that Report Studio should provide the write back capability, which is crucial for business. As for the cost, a majority of users feel that its licensing models are restrictive, especially when compared to other BI solutions; though the vendor seems to address pricing and ease of use with version 11.1.3. In summary, Cognos Analytics is among the best BI solutions in the market today and IBM, with its ear to the ground, is delivering enhanced data analysis and reporting capabilities at scale.

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Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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