Azure Data Catalog vs. Reltio Connected Data Platform vs. SAP NetWeaver MDM

Azure Data Catalog helps us solve data discovery problems
brilliantly. Our organization created a single source of truth for our data,
which allowed us to develop BI and data science solutions. We can drag tables
or data sources to manage workflow. Some of the more complicated data normalization
or standardization issues need to be simplified, and I'd like to see that
happen.

Incentivized

The data model is really flexible, so it should function well across many industries. Reltio Connected Data Platform tends to add new features first to its industrial vertical customers, though, so it may be especially well suited if your use case is specifically supported.

Incentivized

Fairly easy to set up and get started even in large enterprises with the help of the configuration tools that come with the product. Also, the workflow engine can be defined with relative ease and monitored. Perhaps this product works very well in an SAP environment as it can be integrated with other SAP products

Incentivized

• It's easy to use and implement.
• Ownership of the data.
• It's helpful for all businesses.
• Policy on data preservation.
• It can utilize various data sources.
• Data management is secure and simple.

Incentivized

• integration with SFDC, D&B
• Reltio API allows us to build interfaces with ease.
• The beauty of Reltio is Consolidation at any time we can review data at field level from different sources (crosswalk) and configure match merge and survivorship rules to define operational value and approved data can be redistributed to the upstream or downstream systems.
• With Central data governance, enrichment with D&B allows creating trusted data and distribute to various systems.

Incentivized

• SAP MDM comes with a workflow engine that can be used by the business to define workflows, run workflows and monitor workflows
• SAP MDM also enables to create, read, update, and delete master data well across the organization
• With proper setup, it has helped prevent bad master data in the production environment

Incentivized

• Maintenance and creation of documentation for data sources takes a lot of time
• One cannot connect to data using a client's app unless they know the locus of the data source.

Incentivized

• UI does not support creating different profile views for an entity based upon customer types as example however we can achieve this by using sub entities ( sub classes). This feature is useful if we are creating profiles in reltio manually.
• Manual export every time we need to pick entities, fields etc does not allow to save templates. workaround is using postman creating predefined API with selected fields, filters and trigger export.
• UI does not support data masking which needed while we maintain PII information
• Potential Matches doesnt auto sort on confidence code so users need to manually select deselect relevant entities which is time consuming and painful process however this issue is when we have more than 4 entities as potential matches.
• It would be beneficial if UI displays data related errors (if any) between Reltio and SFDC.

Incentivized

• HANA is used for consolidation and there is adequate room for improvement in the consolidation function
• Business users can also contribute to improving the business workflows if there were a simple wizard set up for this purpose - at present, contributions are made through IT ticketing system

Incentivized

Good Feedback

Incentivized

Love the UI

Incentivized

Azure Data Catalogue was chosen for

• Microsoft's customer service and expertise
• Experience with Azure Cloud Solutions
• Reviews from peers on functionality and performance
• Product roadmap
• Overall costs

Incentivized

We felt Reltio had the best user experience, with flexible graph database technology and a customizable UI. Also important was the ability to look at historical snapshots to see relationships as they existed as of a previous date.

Incentivized

IBM Infosphere was considered but was much more expensive and also perhaps would have taken more time for initial setup. SAP MDM was selected because we found it easier to work with other SAP products and its ability to integrate well within the overall larger SAP environment and was also easier to configure.

Incentivized

• Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.

Incentivized

• unifying multiple sources of data = 10+
• Data quality on customer and vendors moved from 65% to 95%
• Reporting quality on operational, finance and sales improved from 70% to 95%

Incentivized

• A positive impact from an ability to leverage a single master data across the entire organization
• A positive impact from an ability to prevent bad master data in production
• Not a negative but could have been easier with a wizard set up for users to contribute to modify rules

Incentivized