SAP Data Intelligence vs. SAP Master Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Data Intelligence
Score 8.8 out of 10
N/A
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
SAP Master Data Governance
Score 6.8 out of 10
N/A
SAP Master Data Governance is a master data management solution that helps users to implement a cohesive and harmonized master data management strategy across all master data domains. It is presented as a solution that simplifies enterprise data management, increases data accuracy, and that facilitates consolidation, central governance and data quality management. The SAP Master Data Governance, cloud edition, a…N/A
Pricing
SAP Data IntelligenceSAP Master Data Governance
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
SAP Data IntelligenceSAP Master Data Governance
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Data IntelligenceSAP Master Data Governance
Best Alternatives
SAP Data IntelligenceSAP Master Data Governance
Small Businesses

No answers on this topic

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Medium-sized Companies

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Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 8.0 out of 10
Enterprises
Oracle GoldenGate
Oracle GoldenGate
Score 8.7 out of 10
Winshuttle
Winshuttle
Score 7.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Data IntelligenceSAP Master Data Governance
Likelihood to Recommend
8.1
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
8.2
(0 ratings)
7.4
(0 ratings)
Usability
8.2
(0 ratings)
7.3
(0 ratings)
Support Rating
7.0
(0 ratings)
5.6
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
Configurability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(0 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
SAP Data IntelligenceSAP Master Data Governance
Likelihood to Recommend
It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.
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When configuring and testing new plant and warehouse for our client in automotive industry we had to test warehouse business processes, for that we needed Mater data and transactional data. And We levied SAP Master Data Governance to import all the master data including Materials, Customer, vendor, work center, Bill of Material among other datas. Our inhouse SAP Master Data Governance team, tested the data accuracy, ran simulation before finally loading the data into SAP. There were many failed master data which could not be loaded because of missing prequisites like Plants, storage locations. We corrected them in SAP Master Data Governance system by configuring plants, slocs and adding them to the material.
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Pros
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
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  • SAP MDG is a powerful platform that enables implementation of advance master data automation such as field auto derivation.
  • Like SAP ECC, MDG performs very well throughout all sites around the world.
  • SAP MDG comes equipped with the standard ECC or S/4Hana data models. This greatly simplifies rollout of the governance platform.
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Cons
  • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
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  • The learning curve is steep, and I think the build procedures might be challenging at first because we are transitioning from a non-systematic data management perspective.
  • My team and I believe that its integration into learning new capabilities is complicated and limiting in terms of customizing reports.
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Likelihood to Renew
Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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MDG has proven to work and to bring results once implemented with the right approach, right engagement and sponsorship. Given that it is a very good tool to govern and control master data. Mainly if your company runs SAP systems which there will be a very straight forward integration, not needing any additional middleware or technologies.
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Usability
Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.
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Upto 8 1. Powerful Features: It offers a wide range of powerful features. 2. Complex Data Management: It helps companies to comply with large and complex regulation and audit processes. Missing 2: 1. Less interactive user interface or less modern look. 2. Limited integration with other tools
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Support Rating
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
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SAP provides great support for Master Data Governance (MDG). They work with us when we are faced with issues in standard solutions. SAP has a great set of Fiori tools that can be used for a better user experience. The issue with SAP is their web dynpro UI screens and they need to provide better support for performance issues that customers face.
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Implementation Rating
No answers on this topic
critical to get management on board earlier and prioritize the resources
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Alternatives Considered
Since we are big on SAP ecosystem products in our IT landscape, it was natural for us to find a best possible solution from SAP product suite. However, we still explored the products available from Informatica product portfolio, we found using SAP Data Intelligence more prudent in terms of seamless integration with lot of our other SAP products.
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Although Power BI has a cleaner interface, the functionality in terms of making sense of complex data has to go to SAP Master Data Governance. Any tool can be learned, so although there is a learning curve to SAP Master Data Governance, their online resources are a great guide.
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Return on Investment
  • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
  • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
  • It runs multiple ML models which enhances flexibility when managing data.
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  • We can make smarter decisions, enabling advanced scenarios like as AI/ML for predictive maintenance of instances, and data standardization decreases application build time, reporting, and connectors.
  • The quality of the data has been increased, and the consistency of custom functionality has been assured.
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ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard

SAP Master Data Governance Screenshots

Screenshot of Data consolidation:  An integrated database of customer, supplier, and product information calls for a consumer-grade user experience and an intuitive, flexible process.Screenshot of Central data governance: The inbox in support of data governance workflows.  By centralizing your heterogeneous systems into a single source, you can create, maintain, and distribute master data across your enterprise.Screenshot of Mass processing: Master data stewards can perform bulk changes in business partner, customer, supplier, and product data with highly-effective mass change processes.Screenshot of Data quality management: Business rules that are defined, validated, and monitored help safeguard master data
readiness and ensure that it’s fit for use.Screenshot of Process analytics: Data governance is significantly enhanced when master data is continuously measured and monitored.