SAP Manufacturing Integration and Intelligence vs. Workday Prism Analytics

SAP Manufacturing Integration and Intelligence as a stand-alone platform seems to be quite powerful with a wide range of capabilities and integration options. The integration itself proved to be challenging which was mentioned before. We also had some issues with delays in data queries which resulted in delays of the visual representation on the SSCE dashboards.

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In my organization, we mainly use Workday Prism Analytics in HR and Finance departments. It not only enables us to make data-centric decisions but also helps reduce the need for data experts since we are able to visualize data on our own through self-service analytics.

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• MII is particularly good at providing and customizing dashboards for quick analysis of industrial IoT data.
• MII also has built-in analysis functionality to make more sense of all the IoT data being streamed.
• MII (and ME) are particularly effective at identifying outliers and problems with equipment/processes before they cause delays or other cascading issues. This allows for effective preventative maintenance.

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• It's web based. No need to install any desktop clients on your machine to use platfora.
• It's best suited for a big data Hadoop environment. I can rate it as the #1 BI tool for a big data hadoop environment.
• Platfora follows kind of the same architecture as Hadoop architecture like Master and Slave architecture. It scales with the data volumes.
• Querying data is very good and very fast. (Platfora Lens)
• Client presentation wise it's good. You can get different kinds of graphs.
• Platfora almost supports everything on Big Data technologies including file formats, compression etc.
• Security is not compromised and it can deal in parallel with any Hadoop distributor security implementations. Just take an example of Knox on Hortonworks, so it will deal with that and cloudera , MapR
• Its very easily understandable and for the new people who wants to try platfora, learning curve is low
• You can create your own datasets in platfora. You can store your results as a dataset in platfora and can share across

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• MII is a system to build custom solutions which may not solve industry 4.0 solutions
• SSCE component is not really a no code low code platform
• Standard OEE module is very complex to implement

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• Data Movement - Data needs to be moved from Hadoop to Platfora to create Platfora Lens and to do analytics.
• To support Data movement, infrastructure cost is high.
• To support data movement, network bandwidth consumption is high.
• No trial versions for companies to evaluate.

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If a proper UI5-based implementation is done, the system works at best if a proper application server and database exist. However, from a customization perspective and an easy-to-implement application-from-scratch perspective, MII is top-notch compared to the other mentioned systems. SAP ME sits on top of SAP MII as a foundation.

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Documentation on some of our implementations was lacking. As an example, creating the query that reads the tag is explained through the documentation but this only explains very specific data models. Other models are not explained and take time to debug. Customer support was willing to help and an official note was created after we found some issues with the integration tools.

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SAP MII is a robust platform for data visualization and data integration. It isn't very intuitive and has the shortcomings explained throughout the review. It still uses old Java versions which is incompatible with updated versions. The SAP ME and SAP CP provide cloud-based solutions that seem to provide a more innovative approach.

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Both are great products. The advantage of SAP Workforce Analytics is that it's widely interoperable between different APIs and databases. Having said that, Workday Prism Analytics scores much better in user-friendliness and the learning curve for the teams to start using it is very low. If Workday enhances its APIs functionality, it can compete easily with SAP Workforce Analytics.

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• SAP MII is a more robust, feature-rich solution than any in-house application would be.
• Our experiments have granted us the skills necessary to help our clients with their own industrial IoT journey.

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• Improved ROI by decreasing the necessary time investment that managers must make to upkeep employee data sectors.
• Improved ease of access for employees, reducing unnecessary communication between employees and management.
• Has led to fewer accounting errors overall.

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