IBM Watson Studio on Cloud Pak for Data vs. Salesforce Marketing Cloud Social Studio (discontinued)

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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If you're tasked with publishing content to social on behalf of your organization then this tool is certainly worth considering. You have quick and easy capability to schedule across multiple platforms with drag-and-drop simplicity. It ties into Salesforce's real strength of its CRM platform so you can quickly tie social activity and leads to those already in your database. And it does a good job at monitoring and analyzing brand and competitor content across multiple media types. Having said that, if you're into deep-dive and full functionality SaaS tools then this might not be for you as it covers three areas adequately, but not in enough detail or strength to make it a star performer

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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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• The amount of the information that radian6 can pull from multiple social platforms is absolutely phenomenal. Its just not only the pull but the way the information can be presented in dashboards was way good. It helped us understand in various aspects of our social presence.
• Multiple profiles helped us to break down the Big/Huge social buzz cloud to smaller and more manageable pieces. This helped us concentrate on the lows and helped us to plan better on turning them to highs.
• Radian6 allowed us to follow thru the crowd trends with the latest information presented in a single view. This also helped us to collect the social opinion on the product releases.
• The ease of use, one need not be an expert to start using this platform. The interface is easily understandable by anyone.
• A keyword can be edited quickly to tailor the needs and the results were quick.

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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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• Instagram Social Listening - it currently does not offer much social listening in terms of Instagram.
• Instagram Owned - It currently stops pulling once an update is "old" by their standards, even if it receives recent comments. They can force pull, but you have to work with their tech team to do so.

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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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I spent a lot of time researching the right platform for me and our organisation (thanks to the other reviews on TrustRadius also). Having used other platforms when I found frustrations getting my everyday work done, I knew exactly what I wanted and this is why I chose Social Studio. While there have been a few hiccups, the quarterly update releases and the outstanding tech support have kept me more than happy.

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

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• Would rate this a 6. The User Interface is pretty intuitive, but the platform was still considered pretty intimidating by our non-technical staff when they first saw it. It took a while to get used to it and feel comfortable. There was quite a lot of setup work in the beginning (for example, we had to build our own reports using a canned report as a template, and this was not simple). Although it took a while to get it setup correctly, it’s quite intuitive once that work has been done.

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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The platform is rarely down

Never had slow response even on our very busy network

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No issues with performance.

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 mentioned previously, it can be hard to get through to people who can help you. On occasion when I have spoken to customer service/tech support, they all seem nice and try to be helpful, however instead of admitting the system cannot do certain things, they will persist it saying that it can, which results in many wasted hours overall.

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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• We initially received dedicated online training for our team which was delivered by our account rep. This was pretty effective since it happened after our data had been loaded into the system and it had been configured for specific needs our organization. The training was perhaps a bit shallow though, as it was only an hour long. Online videos are available to be taken individually, and these have been useful.

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

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Implementation was pretty simple. Just a matter of giving the account rep a list of our search terms and having him set the system up to pull the data we wanted to see. Once this had been done, we tweaked it with his help. Process was pretty smooth, although there was some back and forth until it worked the way we wanted.

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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Compared to Radian6, I found Meltwater Buzz, Simply Measured, and Sprout Social to be much more user friendly. Meltwater Buzz and Radian6 are very similar products with many of the same functionalities but Buzz presents your analytics in a way that is much easier to understand. I did a two week trial with Sprout Social and absolutely loved the product but our company needed the capability to connect to Salesforce, which is available on R6 and Buzz. Simply Measured is my all time favorite but I have only used the free version so I am not completely sure how it stacks up to Radian6

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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• Monitoring social brand awareness is not something you can consider to have a meaninful impact in your business ROI short term, however it's a must for taking care of long term relationships and customer intimacy.
• Radian6 connects with other analytical tools like webtrends, Google Analytics, etc..however it's not directly linked to a revenue driven platform, you can´t see the immediate ROI generated in the tool.
• If you bet for social relationships you should consider this tool, no question on that. Social Commerce might be of course impacted postively by the proper use of this tool.

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Independently Invited by TrustRadius

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. More Info