Sisense vs SAP Analytics Cloud

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Our analysts compared Sisense 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.

SAP Analytics Cloud Software Tool

Product Basics

Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
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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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$1,500 Monthly, Freemium
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$36/User, Monthly
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Product Assistance

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Product Insights

  • Brings Intelligence to Every User: Empower every user with data literacy via access to an intuitive data workflow. Leverage self-service BI to connect, mash up, blend and analyze data in a user-friendly, visual framework that is easy to manipulate. 
  • Optimizes Data Prep: Eliminate barriers between analysts and the data they need to reach answers through single-stack technology. Reduce the time needed for data prep and clean data within the interface without changing any of the original data in its source. Perform error-free analysis with better quality assurance. Incorporate everything from a database to ETL to analysis to visualizations within a single architecture in an end-to-end BI system.
  • Delivers Analysis Quickly: Through its proprietary AI-powered in-chip technology, perform thousands of queries on massive amounts of data and return results at faster speeds with in-memory processing, allowing for more efficient decision making.
  • Keeps Data Secure: Leverage advanced machine learning, detect anomalies in the data and send alerts instantly. Set role-based access restrictions, safeguard sensitive data from users who shouldn’t have access to it, and maintain greater oversight and transparency. Offer scalable data security protocols at the process level, system level, object level and data level to ensure tight security. Incorporate built-in recovery and audit strategies to prevent data loss as well as protect the organization’s audit trails.
  • Uncovers Actionable Insights: Make predictions and business decisions based on facts by analyzing data trends and identifying patterns. Improve business practices, reduce oversight errors, boost ROI and streamline general business efficiency. Utilize smart suggestions to best-match visualizations, uncover patterns and highlight trends in data. Build narratives that facilitate deeper interaction with data, and keep a digital assistant analyst at the ready.
  • Promotes Collaboration: Collaborate with others to share reports and insights on KPIs and goals, while ensuring data security compliance by keeping users on a secure network.
  • Offers Customization: Customize the platform to meet users’ needs via an open API framework. Only pay for features they’ll use and get exactly what they want out of a BI tool.
  • Scalable: Agilely adapt to users’ needs. Minimize costs via reasonable pricing and grow with business. Scale to tens of thousands of users and terabytes of data, while powering complex analysis with in-chip machine learning technology.
  • Provides Insights On-the-Go: Stay connected to data that fuels business decisions even while on the move. Access dashboards on any device and elect to receive notifications and real-time updates.
  • Try Before You Buy: Test it hands-on through a 14-day free trial. 
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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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  • In-Chip Analytics: Free up processing power for other tasks, improve the speed of processing and reduce downtime caused by overworked RAM or disks. Combine a columnar database with smart algorithms in an in-chip cache. Choose between either disk or RAM, rather than solely disk or RAM, as an alternative to in-memory processing.
  • Data Connectivity: Draw from many different data sources and formats with hundreds of built-in connectors with cloud applications such as Zendesk and Salesforce. Drag and drop to import from databases and spreadsheets. Pull directly from CRMs or embed the BI interface into the CRM, providing versatility in workflow options.
  • Data Blending: Blend huge datasets from a range of sources instantly into one centralized location, and receive a holistic view of all data. Investigate further through slicing, dicing and exploration of data via a simple, accessible interface.
  • Data Visualizations: Organize user data into easy-to-understand visualizations like bar charts, scattergrams, pie charts, line graphs, interactive maps, etc. Access a rich library of prebuilt graphics and widgets or open source designs, and easily manipulate them from within an intuitive UI. 
  • Interactive Dashboards: Drag-and-drop to build interactive dashboards that encourage deeper data exploration. Help users to build widgets and filters, and leverage AI-assisted exploration and automatic analysis to provide further insight. 
  • Real-Time Insights: Set up and maintain live connections to data and monitor dashboards in real time. Establish push notification alerts to receive automatic updates when changes to KPIs occur. 
  • Single-Stack System: Perform a range of data preparation tasks, such as exploration, analysis, visualization and collaboration, without needing to switch to other platforms.
  • Publish and Share: Enable everyone in an organization to access and filter information with web-based dashboards. Publish a dashboard with one click and open it to the entire company for easy access without needing to download files.
  • Augmented Intelligence: Leverage Sisense Pulse, powered by machine learning algorithms, to continually monitor KPIs and receive proactive alerts when anomalies and variations are detected. Automate previously manual tasks and data-driven workflows, personalize the BI experience with a tailored command center and deliver a dynamically updated feed that keeps users up to date.
  • Embedded Analytics: Turn data into data products that deliver BI to clients with a white label solution in Product Teams.
  • R Integration: Perform predictive analysis and access better BI reporting and decision-making through R programming language.
  • Add-Ons: Extend the functionality of the platform by downloading and equipping any number of free and premium native and third party extensions from the marketplace.
  • Natural Language Processing: Empower users of all data literacy levels to derive the full value of their insights through natural language generation with Sisense Narratives. Simplify into everyday language the complexities of data analysis for accessibility and easier understanding through AI-generated text-based insights.
  • Mobile BI: Access BI on-the-go directly from iOS and Android phones with a native app that renders mobile-optimized responsive dashboards with touchscreen integration. Alternatively, access the platform through a browser from any laptop, tablet or smartphone, no downloads or installation required.
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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

#9

among all
Business Analytics Tools

#34

among all
Business Analytics Tools

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Analyst Rating Summary

80
79
86
88
34
50
85
97
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Availability & Scalability
Data Management
Deployment Options
Embedded Analytics
Extensibility
Availability & Scalability
Data Management
Deployment Options
OS Support
Professional Services and Maintenance

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Sisense
SAP Analytics Cloud
+ 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 86 34 85 100 88 100 67 70 57 100 94 88 50 97 100 88 0 65 60 87 91 93 0 25 50 75 100
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8%
67%
46%
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83%
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17%
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89%
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11%
89%
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11%
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57%
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43%
43%
29%
28%
33%
33%
34%
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88%
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12%
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80%
20%
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89%
11%
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90%
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10%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

Sisense
SAP Analytics Cloud
+ Add Product + Add Product
Availability & Scalability Data Sources Connectivity Deployment Options Extensibility OS Support Security 100 93 100 100 100 72 100 68 100 50 100 88 0 25 50 75 100
100%
0%
0%
100%
0%
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95%
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5%
38%
0%
62%
100%
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50%
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67%
11%
22%
89%
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11%

User Sentiment Summary

Great User Sentiment 1979 reviews
Great User Sentiment 834 reviews
88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 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.

5.0 (22)
n/a
4.3 (720)
4.2 (274)
4.5 (357)
4.3 (72)
4.4 (765)
4.1 (148)
4.4 (115)
4.3 (340)

Awards

SelectHub research analysts have evaluated Sisense and concluded it earns best-in-class honors for Embedded Analytics.

Embedded Analytics Award

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Synopsis of User Ratings and Reviews

Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
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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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Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
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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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Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

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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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