IBM Watson Studio on Cloud Pak for Data vs. Oracle CRM On Demand

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.

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I think it is well suited for organizations which are large with a lot of users so as to be able to minimize the cost of operations. Also, the organization which interacts mostly with customers can use Oracle CRM on demand.

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• 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.

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• Several of our members were not familiar with various IT functions within CRM prior to working with it and so they were able to develop a working knowledge of IT pretty quickly afterwards.
• It has a familiar feel to it as it allows users to work the data into a spreadsheet type layout with pivot tables and graphs and so it is quick to adopt.
• Customization is great with a working knowledge of HTML, which isn't too hard to learn. You can really adapt CRM to any needs stylistically or content wise.

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• 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

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• The ability to schedule and push out reports is missing from this system. If we want to mass deliver a report on a schedule, we must run it, export it and email it out to the group, or purchase a 3rd party system.
• The ability to trigger workflow events on a schedule is missing this system. Currently, there has to be a trigger initiated by a user and we have situations where we'd like to be able to schedule a work flow routine to go out and check from specific situations and then trigger an action. We'd also like to be able to trigger workflow actions on one object based on something in another object and this capability is very limited.

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because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)

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Because am using oracle last 3 years and it’s great

The UI flawlessly merges this offering by providing a neat, minimal, responsive interface

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Compared to other competitors I find it very easy to use and learn .It has been helpful in our organisation and we have been able to manage our projects and operations well without interference.

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From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected

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Never had slow response even on our very busy network

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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

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As am using oracle very much satisfy.

The trainers on the job are very smart with solutions and very able in teaching

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The Platform is very handy and suggests further steps according my previous interests

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It surprised us with unpredictable case of use and brand new points of view

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With the right partner Oracle CRM On Demand can be implemented very quickly and seamlessly.

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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.

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MS Dynamics was easy to integrate to MS Power BI. This BI and reporting aspect is a clear strong point for Microsoft. MS solutions seem easier to integrate and learn, but this depends on the IT landscape and the complexity of integrations in a respective company.

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It helped us in getting from 0 to DSX without getting lost

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• 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

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• This software can display in real-time when an order is submitted, received, fulfilled, and shipped out. We are able to know within the week of what new orders came in and how effective we are being from targeting specific regions of the nation.

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Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info