Pyramid Analytics vs SAP Analytics Cloud

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Our analysts compared Pyramid Analytics vs SAP Analytics Cloud 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.

Pyramid Analytics Software Tool
SAP Analytics Cloud Software Tool

Product Basics

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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SAP Analytics Cloud is an augmented analytics solution that uses machine learning technology to generate data visualizations and simulate predictive scenarios. It provides every member of an organization with access to automatic, interactive insights via natural language processing. Powered by artificial intelligence, it helps businesses make decisions with confidence by exploring what-if possibilities based on historical data.

There are multiple plans available with different functionality levels, so businesses can choose the subscription that provides the best fit for their needs.
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$10 Free, monthly, quote-based
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Tailored to your specific needs
$36/User, Monthly
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Tailored to your specific needs
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Product Assistance

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Product Insights

  • 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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  • Increase Efficiency: Automatically generates relevant explanations and insights, saving time for those who would otherwise spend it slicing and dicing data to find that information.
  • Smarter Analytics: Digs deeper and thinks smarter with data thanks to machine learning technology that powers its Smart Predict, Smart Insights and Smart Discovery modules.
  • No IT Training Needed: Discover insights through natural-language processing which eliminates the need for cryptic queries. Easily access augmented analytics, irrespective of skill levels in data science or visualization.
  • Anticipate Problems: Detect risks and avoid issues before they happen through predictive forecasting and alerts.
  • More Informed Decisions: Determine the best course of action through AI-powered capabilities that take the uncertainty and guesswork out of decision-making.
  • Visualize Impact: Software algorithms identify key influencers and make it easier to see what drives business and what impacts the bottom line the most.
  • Work Better Together: Collaborate through the cloud, keeping in constant communication to get the job done together.
  • Free Trial: Download a 30-day free trial version from the vendor's website.
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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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  • Data Preparation: Alerts as to possible errors and automatically cleans data through machine learning technology to enhance data for deeper insights. Offers context-based suggestions for better data preparation and data visualizations through Smart Transformations.
  • Chat With Data: Type questions into the Search to Insight bar in natural language to instantly create visualizations — no syntax mastery necessary. Analyze data easily, similar to using a search engine.
  • Instant Data Visualization: See the full picture in seconds; the solution generates interactive charts and graphs automatically upon query.
  • Predictive Forecasting: Generates prediction models that learn from historical data to automatically detect risks and predict what is likely to happen in the future.
  • What-If Analysis: Create what-if simulations through the power of self-service machine learning. Plan for the next steps by fine-tuning prediction scenarios based on confidence levels.
  • Highlight KPIs: Answer the “why” and “what” questions through augmented analytics. Identify the top contributors to business performance — the people, products and processes that contribute to the overall story.
  • Analyze Anomalies: Take corrective action aided by Smart Discovery, which automatically points out outlying data.
  • Hybrid Analytics: Protect technology investments by continuing to manage on-premise systems and existing data infrastructure, while simultaneously moving towards the future by leveraging the cloud. Supports a wide range of data connections, ensuring import and access to data from any source to maintain a 360-degree view of the business.
  • Partners: Over 100 partners offer upwards of 430 analytical extensions in the SAP App Center that provide additional value and industry specific applications to the platform.
  • Built-In Collaboration: Create discussions, assign tasks and deadlines and comment on data points. Share information and interact with each other continuously on screen.
  • Mobile App: Stay connected to the Cloud via a responsive, interactive iOS app.
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Product Ranking

#14

among all
Business Analytics Tools

#34

among all
Business Analytics Tools

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Analyst Rating Summary

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Advanced Analytics
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Professional Services and Maintenance

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Pyramid Analytics
SAP Analytics Cloud
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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 92 9 78 100 78 63 76 33 52 85 85 88 50 97 100 88 0 65 60 87 91 93 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

Pyramid Analytics
SAP Analytics Cloud
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Availability & Scalability Data Sources Connectivity Deployment Options Extensibility OS Support Security 100 68 100 50 100 69 100 68 100 50 100 88 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 144 reviews
Great User Sentiment 834 reviews
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.

85%
of users recommend this product

SAP Analytics Cloud has a 'great' User Satisfaction Rating of 85% when considering 834 user reviews from 4 recognized software review sites.

3.9 (9)
4.2 (274)
4.1 (7)
4.3 (72)
4.5 (128)
4.1 (148)
n/a
4.3 (340)

Synopsis of User Ratings and Reviews

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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Data Visualization: Approximately 91% of users who reviewed visualization said that they can customize dashboards effortlessly with the solution’s wide range of templates and graphics libraries.
Ease of Use: Citing the platform’s modern and intuitive interface, around 89% of users said that the platform makes it easy to develop stories without technical knowledge thanks to Smart Discovery.
Data Analysis: Mentioning its forecasting and predictive analysis capabilities, approximately 87% of users said that the solution enables collaborative enterprise planning via statistical and predictive analysis.
Web and Mobile Accessibility: Discussing its easy accessibility on multiple browsers, around 72% users said that the platform works well on a wide range of devices.
Data Connectivity: Approximately 70% of the users who mentioned integration said that the tool, with strong live data connections, integrates well with other applications and data sources.
Functionality: Around 55% of the users who discussed features said that the tool is scalable and quite versatile, with frequent updates.
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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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Performance: Approximately 85% of users who reviewed performance said that some features do not work well at the enterprise level.
Reporting: Around 58% of users who mentioned reporting said that report creation with the tool is complicated and needs IT support.
Data Management: Approximately 52% of users who discussed data preparation said that the platform needs more ubiquitous data modeling capabilities.
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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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SAP Analytics Cloud is a powerful data visualization tool that helps users explore data in an easy-to-understand format and discover metrics that help them make informed decisions. Many users who reviewed visualization said that the platform has rich graphics libraries and a range of templates for story presentation of business metrics. Citing its aesthetic design, a majority of users said that the solution’s interface is intuitive for programmers and non-technical users alike. Mentioning its strong predictive and augmented analysis capabilities, a lot of users said that the platform is a strong planning tool and helps them gain business insights easily. Many users said that the tool works well on a plethora of devices, including mobile, and is accessible on multiple browsers, though some users said that its offline mode capabilities are limited. Most of the users who reviewed data integrations said that the tool handles large amounts of data seamlessly, though quite a few users said its compatibility with live connection data sources is limited to other SAP products. Reviewing functionality, a majority of users said that the tool is versatile and scalable to ensure a great end-to-end user experience, though some said that it needs more features, such as improved live data analytics. The solution does have its limitations, though. Around 85% of users who reviewed its performance said that it struggles at the enterprise level, though quite a few users said that it performs exceedingly well within the SAP ecosystem. A majority of the users who mentioned reporting said that the solution lacks automatic report distribution and broadcasting capabilities, though some said that it has excellent analytical and data-oriented report creation. Many users who discussed data management complained that the process for updating an existing data model needs a lot of rework, and that the solution needs more versatile modeling features. Overall, SAP Analytics Cloud is a planning tool with strong BI capabilities that brings the power of cloud computing to self-service data analysis for gaining actionable insights into business metrics.

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