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IBM Watson Studio on Cloud Pak for Data vs. Salesforce CRM Analytics

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A

    Salesforce CRM Analytics

    Score8.5 out of 10
    N/ASalesforce CRM Analytics (formerly Tableau CRM) is a cloud-based business intelligence solutions and analytics software. It provides users with automated data discovery, CRM-connected analytics, top-down views of data, augmented analytics, predictive insights, and customizable data visualization tools.

    $125

    per month

    Pricing
    IBM Watson StudioSalesforce CRM Analytics
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson StudioSalesforce CRM Analytics
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson StudioSalesforce CRM Analytics
    Considered Both Products
    IBM
    No answer on this topic
    Salesforce
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    73%
    Would buy again
    8 Answers
    Delivers good value for the price
    No answers on this topic
    89%
    Delivers good value for the price
    8 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    91%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    11 Answers
    Implementation went as expected
    No answers on this topic
    90%
    Implementation went as expected
    9 Answers
    Features
    IBM Watson StudioSalesforce CRM Analytics
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Salesforce CRM Analytics
    -
    Ratings
    Connect to Multiple Data Sources8.022 Ratings00 Ratings
    Extend Existing Data Sources8.022 Ratings00 Ratings
    Automatic Data Format Detection10.021 Ratings00 Ratings
    MDM Integration6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Salesforce CRM Analytics
    -
    Ratings
    Visualization10.022 Ratings00 Ratings
    Interactive Data Analysis10.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Salesforce CRM Analytics
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.022 Ratings00 Ratings
    Data Transformations10.021 Ratings00 Ratings
    Data Encryption8.020 Ratings00 Ratings
    Built-in Processors10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Salesforce CRM Analytics
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Salesforce CRM Analytics
    -
    Ratings
    Flexible Model Publishing Options9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls7.022 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    7.8
    48 Ratings
    5% below category average
    Pixel Perfect reports00 Ratings7.541 Ratings
    Customizable dashboards00 Ratings8.548 Ratings
    Report Formatting Templates00 Ratings7.546 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    7.8
    49 Ratings
    3% below category average
    Drill-down analysis00 Ratings8.548 Ratings
    Formatting capabilities00 Ratings7.548 Ratings
    Integration with R or other statistical packages00 Ratings7.537 Ratings
    Report sharing and collaboration00 Ratings7.546 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    8.1
    47 Ratings
    1% below category average
    Publish to Web00 Ratings9.037 Ratings
    Publish to PDF00 Ratings7.044 Ratings
    Report Versioning00 Ratings8.543 Ratings
    Report Delivery Scheduling00 Ratings8.540 Ratings
    Delivery to Remote Servers00 Ratings7.534 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    7.4
    45 Ratings
    8% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.042 Ratings
    Location Analytics / Geographic Visualization00 Ratings6.540 Ratings
    Predictive Analytics00 Ratings7.042 Ratings
    Pattern Recognition and Data Mining00 Ratings8.02 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    9.0
    48 Ratings
    6% above category average
    Multi-User Support (named login)00 Ratings9.046 Ratings
    Role-Based Security Model00 Ratings8.546 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.042 Ratings
    Report-Level Access Control00 Ratings9.02 Ratings
    Single Sign-On (SSO)00 Ratings9.541 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    6.7
    45 Ratings
    14% below category average
    Responsive Design for Web Access00 Ratings7.543 Ratings
    Mobile Application00 Ratings7.034 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.539 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of IBM Watson Studio on Cloud Pak for Data and Salesforce CRM Analytics
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Salesforce CRM Analytics
    8.2
    33 Ratings
    6% above category average
    REST API00 Ratings8.031 Ratings
    Javascript API00 Ratings8.529 Ratings
    iFrames00 Ratings8.525 Ratings
    Java API00 Ratings8.528 Ratings
    Themeable User Interface (UI)00 Ratings7.528 Ratings
    Customizable Platform (Open Source)00 Ratings8.527 Ratings
    Best Alternatives
    IBM Watson StudioSalesforce CRM Analytics
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Posit
    Score10 out of 10
    Jaspersoft Community Edition
    Score7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson StudioSalesforce CRM Analytics
    Likelihood to Recommend
    8.0
    (65 ratings)
    9.1
    (51 ratings)
    Likelihood to Renew
    8.2
    (1 ratings)
    -
    (0 ratings)
    Usability
    9.6
    (2 ratings)
    8.5
    (10 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.2
    (1 ratings)
    7.7
    (6 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.3
    (1 ratings)
    6.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.1
    (41 ratings)
    Data Sources
    -
    (0 ratings)
    7.7
    (41 ratings)
    Product Scalability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM Watson StudioSalesforce CRM Analytics
    Likelihood to Recommend
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Salesforce
    For us it really comes down to that book management and next best contact for our advisors. When we're thinking about a book of business that may range, depending on the advisor, from 400 clients to a thousand clients, how do they really optimize their time? Who do they call next? Who do they work with to make sure not only they're keeping those clients engaged, they're not leaving the firm going to other advisors who they haven't talked to in a while who might need their attention. That's really where that CRM analytics is really proven pretty powerful for us.
    Incentivized
    Read full review
    Pros
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Salesforce
    • Interactive Dashboards, it [consists] of wide variety of charts
    • Data from different sources can be easily integrated with it
    • Security, it provides easy way to secure and share the information with the users
    • Support actions like opening hyperlink etc
    • Almost everything can be done from configuration
    • Data can easily be managed from dataflow.
    Incentivized
    Read full review
    Cons
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Salesforce
    • Implementation takes time and resources. It is a heavy lift to implement and at first, it can take a little bit of time to understand what you are looking at. But once it's implemented it's easy to get started.
    • Without any BI expertise or resources available to your organization, the implementation of this is difficult. If you aren't used to BI tools and don't have an expert in house, the terminology can be difficult to understand at first.
    • Their support is not on hand to help you if you encounter any issues, at least not on all the plans or the basic plans. Real-time support service is an add-on, so you'll need to be patient if you require help or pay extra money.
    • More functionality for the tool is needed to compete with other heavyweights in the arena like Tableau, Qlik, and Microstrategy. Still lacks the robustness, functionality, and flexibility other competing products possess.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Salesforce
    No answers on this topic
    Usability
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Salesforce
    For someone who don't have coding background, this could be a useful tool and fairly easy to learn and use given the good support. However, if you know other open source tools, it would be much easier to use the other tools and the knowledge is more transferable in the future.
    Incentivized
    Read full review
    Reliability and Availability
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    Salesforce
    No answers on this topic
    Performance
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Salesforce
    No answers on this topic
    Support Rating
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    Salesforce
    I was not able to be in interaction much with Salesforce support team since every feature works the way it should be working. So far I have not experienced any bug or major glitches that would delay the result of my work and performance. There is also a hotline in our company for Salesforce issue but so far I have not used it.
    Incentivized
    Read full review
    In-Person Training
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Salesforce
    No answers on this topic
    Online Training
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Salesforce
    No answers on this topic
    Implementation Rating
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Salesforce
    An implementation partner would certainly result in greater output in a more efficient amount of time. However, I have found implementation partners to be extremely expensive for the output received (at least working for a non-profit company they are frequently unaffordable). Internal implementation does help with usable output though since internal knowledge would better know the data architecture and business processes
    Incentivized
    Read full review
    Alternatives Considered
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    Salesforce
    Tableau is the absolute top of the class when it comes to business intelligence, but it doesn't make sense for every business case. In our case, we needed a simple data visualization platform for our CRM platform and sales pipeline. Salesforce Analytics, while nowhere near as robust, did the job we needed it to do perfectly in a significantly more cost-effective manner.
    Incentivized
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    Scalability
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
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    Salesforce
    No answers on this topic
    Return on Investment
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    Salesforce
    • I would say it's been positive just because as a company, anyone that has access to it can go in there and pull any company information and we're very up to date then on all of our client base. So I would say it's been a very positive impact.
    Incentivized
    Read full review
    ScreenShots