SAS Visual Analytics vs Salesforce Einstein Analytics comparison

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4,227 views|2,046 comparisons
85% willing to recommend
SAS Logo
2,822 views|2,240 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Salesforce Einstein Analytics and SAS Visual Analytics based on real PeerSpot user reviews.

Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed SAS Visual Analytics vs. Salesforce Einstein Analytics Report (Updated: January 2022).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The tool is a cloud-based solution capable of integrating any kind of data in the world.""The most valuable features of Salesforce Einstein Analytics are the flexibility around the deployment, overall capabilities, user-friendliness, and interactiveness with the tools that came built with it.""Salesforce Einstein Analytics is a simplified CRM. It's integration is good.""Transparency is the most valuable feature of this solution.""Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well.""The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features""The out-of-the-box features are good for companies that want to try analytics and data science interventions.""The most valuable feature of Salesforce Einstein Analytics is the reporting tools."

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"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes.""I use Visual Analytics for enterprise reporting.""The technical support services are good.""The flexibility of the configuration is valuable to me.""The speed to display charts and react to users' choices is great.""Simplifies report designs and quickly displays tables and graphs.""I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics.""It's quite easy to learn and to progress with SAS from an end-user perspective."

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Cons
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data.""The product is expensive.""The product must be more transparent.""Einstein Analytics could incorporate something like SFIA 8 to help users understand the underlying skill sets.""The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms.""There are some offerings like Sales Cloud, Service Cloud, and Marketing Cloud that have very useful online learning options. There need to be more avenues for self-learning with this particular solution. That would be useful.""If I could improve Tableau CRM I would make it as powerful as Tableau. Tableau CRM is more integrated and it's on the web, but it has less functionality. It is lacking functionality at this time.""I would advise others not to customize because they rolled out the newer versions, which are every six months. There had to be some significant testing and verification that happened. It is important to have a strong third-party provider that is very experienced. We used Deloitte, but we evaluated Accenture, KPMG, and IBM, but we decided on Deloitte and that was a good decision for us. Having a partner who has a center of excellence or experts that could give you a lot of the tips that they've learned could jumpstart your deployment and stick to the standards."

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"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data.""The solution is a little weak at the front end.""The product is expensive and needs the integration of more languages.""The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice.""SAS Visual Analytics could be more user-friendly.""Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help.""Colours used on report objects""There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."

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Pricing and Cost Advice
  • "Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."
  • "The biggest challenge we had was the cost and the licensing. We ended up getting an enterprise licensing agreement(ELA). That took a lot of negotiations and a lot of pressure. We were able to receive a good price for the community licensing they bundled Salesforce Einstein Analytics. They bundled a lot of capabilities with us with the ELA."
  • "Although it was deemed slightly expensive and failed the cost analysis we conducted in our company, we proceeded with the purchase because we desired to have a leading CRM system in the industry."
  • "Price-wise, Salesforce Einstein Analytics is an expensive tool."
  • "I rate the solution's pricing a seven out of ten."
  • "The solution is expensive."
  • "Salesforce Einstein Analytics can be considered somewhat expensive, depending on the company's needs. If they want the complete package with all the features, it's pricier. It all comes down to what the company requires from the platform."
  • More Salesforce Einstein Analytics Pricing and Cost Advice →

  • "Licensing is simple."
  • "$10,000 per annum for an enterprise license."
  • "The cost of the solution can be expensive. There is an additional cost for users."
  • "Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
  • "SAS Visual Analytics is expensive, as is the rest of the platform."
  • "It's approximately $114,000 US dollars per year."
  • "It was licensed for corporate use, and its licensing was on a yearly basis."
  • "The product is expensive."
  • More SAS Visual Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool is valuable. It's one of the greatest programs I'm currently working with, and I believe it will continue to be crucial in the next four to five years. It's the future of our operations… more »
    Top Answer:We use Service Cloud. We use it to classify the cases and get the escalation scores correctly. We also use it for knowledge management. We have multiple use cases.
    Top Answer:The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with… more »
    Top Answer:The product is expensive and needs the integration of more languages.
    Ranking
    Views
    4,227
    Comparisons
    2,046
    Reviews
    9
    Average Words per Review
    428
    Rating
    8.7
    8th
    out of 74 in Data Visualization
    Views
    2,822
    Comparisons
    2,240
    Reviews
    9
    Average Words per Review
    402
    Rating
    8.7
    Comparisons
    Also Known As
    Einstein Analytics, Salesforce Wave Analytics
    SAS BI
    Learn More
    Overview

    Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:

    • Connect directly to your CRM data and execute on insights directly in Chatter.
    • Automatically analyze millions of rows of data and get predictive analytics with Einstein Discovery.
    • Explore data quickly and automate actions with prebuilt apps.
    • Use mobile to act, whether you're on Android or iOS.

    SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.

    SAS Visual Analytics Features

    SAS Visual Analytics has many valuable key features. Some of the most useful ones include:

    • Data
    • Interactive data discovery
    • Augmented analytics
    • Chat-enabled analytics
    • Sharing and collaboration
    • Visual analytics apps
    • Embedded insights
    • Location analytics
    • Security and administration
    • In-memory engine

    SAS Visual Analytics Benefits

    There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

    • Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.
    • Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.
    • Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.
    • Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.

    A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.

    PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.

    Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”

    Sample Customers
    ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority
    Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
    Top Industries
    REVIEWERS
    Computer Software Company30%
    Healthcare Company20%
    Financial Services Firm20%
    Government10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm12%
    Manufacturing Company7%
    University5%
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Outsourcing Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    Company Size
    REVIEWERS
    Small Business30%
    Midsize Enterprise20%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise65%
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    SAS Visual Analytics vs. Salesforce Einstein Analytics
    January 2022
    Find out what your peers are saying about SAS Visual Analytics vs. Salesforce Einstein Analytics and other solutions. Updated: January 2022.
    772,649 professionals have used our research since 2012.

    Salesforce Einstein Analytics is ranked 12th in BI (Business Intelligence) Tools with 18 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Salesforce Einstein Analytics is rated 8.2, while SAS Visual Analytics is rated 8.2. The top reviewer of Salesforce Einstein Analytics writes "Helpful consistent measurements, high availability, and scales well". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Salesforce Einstein Analytics is most compared with Microsoft Power BI, Tableau, Databricks, SAP Analytics Cloud and IBM Cognos, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku. See our SAS Visual Analytics vs. Salesforce Einstein Analytics report.

    We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.