Cognos Analytics vs Einstein Analytics

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

Cognos Analytics Software Tool
Einstein 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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Einstein Analytics is a suite of analytics applications that use artificial intelligence to supply insights. With predictive, tailored analytics, it can build AI data visualizations and deliver recommendations to help companies accomplish their business goals. Developed by Salesforce, it integrates natively with their CRM to boost understanding of sales pipelines and customer satisfaction.

It offers three editions: Predictions, Analytics Growth and Analytics Plus. Until 2017, it was known as Salesforce Analytics Cloud or Wave.
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$50/User, Monthly
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$75/User, Monthly
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Tailored to your specific needs
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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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  • Predictive Analytics: Automatically generates models and precise recommendations based on insights gleaned from relevant data, with the power of artificial intelligence.
  • Achieve Faster ROI: Spend less time cleaning up data and more time selling products and converting leads.
  • Native Salesforce Integration: Connects seamlessly with Salesforce, supplementing the CRM platform with crucial BI.
  • Unify Your Systems: Bring all data onto one screen to get the complete picture with data connectors to any platform, including external systems.
  • Simplicity of Use: Create data visualizations that make sense with ready-to-use customizable templates that eliminate the need to have coding knowledge.
  • Free Trial: Sign up for a free 30-day trial on the vendor’s website.
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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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  • Role-Specific Analytics: Leverage its prebuilt templates and native apps designed to maximize insights with customizable best-practice KPIs in specific industries, including sales, customer service, financial advising, B2B marketing, fundraising and more.
  • Actionable AI: Build AI-powered applications and models that explore millions of data combinations and trends in minutes, even without knowing code. Generate predictions and what-if scenarios for the business. 
  • Self-Service BI: Customize the queries and looks of analytics applications to target the information needed for specific decisions. 
  • All-Around Insights: Gather all information in one place by connecting to any external data source, including AWS Redshift, Salesforce CRM, Microsoft Dynamics, Google BigQuery and more.  
  • Team Collaboration: Quickly share assets and take action together with colleagues with smart notifications, annotations, presentation mode, downloadable analytics, updates via email subscription and native integration with Salesforce Chatter.  
  • Mobile Ready: Download apps compatible with iOS and Android platforms that support many of the available analytics features.  
  • Continuous Upgrades: Avail new features and enhancements released by the Salesforce platform three times a year in winter, spring and summer.  
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Product Ranking

#12

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#168

among all
Business Intelligence Tools

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Analyst Rating Summary

82
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87
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96
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Cognos Analytics
Einstein Analytics
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 87 59 96 85 90 100 84 58 77 91 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 1251 reviews
Great User Sentiment 1161 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.

83%
of users recommend this product

Einstein Analytics has a 'great' User Satisfaction Rating of 83% when considering 1161 user reviews from 4 recognized software review sites.

3.9 (306)
4.2 (302)
4.1 (120)
4.3 (60)
4.3 (358)
4.3 (169)
4.0 (467)
4.1 (630)

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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Data Analysis: Citing its strong AI and machine learning features, all users who discussed the platform’s analytical capabilities said that it helps deliver business intelligence insights.
Data Visualization: Reviewing visualization capabilities, approximately 79% of users said that its clear and custom dashboards make business data easy to understand from a KPI point of view.
Data Integration: Around 76% of users who discussed data connectivity said that the platform connects easily to a wide range of data sources for advanced analytics.
Functionality: Reviewing functionality, around 65% of users said that, supported by regular updates that address user requests, the tool is feature-rich and stable.
Ease of Use: Discussing the interface, approximately 61% of users said the software is easy to use and aesthetically elegant.
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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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Cost: Citing per-user licensing plans and additional fees for on-premise installation, maintenance and add-ons, around 80% of users said that costs can quickly add up.
Performance: Around 78% of users who reviewed the solution for performance said that it is slow and prone to infrequent crashes, especially when uploading large amounts of data.
Setup: Approximately 67% of users who reviewed ease of deployment said that configuring the platform can be difficult if done without professional support.
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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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Einstein Analytics from Salesforce is a predictive analytics BI tool that uses the power of AI and machine learning to glean insights and create visualizations and reports to drive business decisions. All users who reviewed its analytics capabilities said that it excels at augmented analytics. Many users who reviewed data visualization said that templates and dashboards are easy to customize for deep-dive data exploration. With a range of reporting options and intuitive drag-and-drop functionality, the platform empowers business users to create their own reports without needing to code. Being part of the Salesforce suite, the platform integrates well with other SF offerings, as expected, as well as with external data sources. As for the tool’s data management capabilities, some users said that ETL functions are self-contained in that they replace the need to write code, however others said that data needs to be cleansed before the ETL engine can consume it for data analysis. Commenting on the software’s functionality, around 68% of users said that it is easy to drill down into KPIs with little training in analytics, whereas some users said that the platform is sparse in terms of features and does not have the same reporting capabilities as other Salesforce tools. Mentioning the interface, a majority of users said that it is clean and interactive, though quite a few users said that they preferred the classic version to the new one. A majority of the users who reviewed pricing said that, in addition to expensive per-user licenses, other costs can quickly add up, since implementation is not easy and often requires professional vendor support. Many users who discussed setup said that the platform struggles when processing large amounts of data, and plugins are needed to process heavier data sets, which further compounds costs. Quite a few users said that the platform performs well within the Salesforce ecosystem; however, it does not have the robustness and flexibility of Tableau. Overall, Einstein Analytics is a BI tool with strong out of the box ETL and data visualization capabilities that glean deeper insights into business metrics and seems to be suited for organizations with lightweight data analysis needs or those that already implement Salesforce solutions.

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