MDM Solution

Why MDM ?

MDM is a technology that allows both business and IT to work together to ensure uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise’s official shared master assets. MDM helps in strategic business initiatives:

01 : Revenue Increased

02 : Cost: Transportation costs decreased by 6%​

03 : Risk: Liability Exposure reduced​

Swati technologies and Mdm

We are a Profisee-certified consulting partner and have well-skilled resources for the optimization of Profisee MDM solutions. We always support solving the data quality issues that have been holding the enterprises back for a very long. We help the enterprises managing of the huge volume of data with a different approach by making it easy, making accurate and making scalable.

 

“The overall market penetration of MDM Solutions is still below 10%”

- Gartner (Magic Quadrant for Master Data Management Solutions)

Modernizing the Data Estate

The data inputs from various Data Sources (Dynamics 365, SAP, Salesforce, Customs Apps, Cloud Apps, or Legacy Apps) are taken into the Azure Data Estate, and the Profisee MDM enforces the standards to match/merge, validate, remediate, and sync across systems.  Finally, high-quality trusted data is produced, which is complete, consistent, and accurate. The output data is fed to the consumers through Azure Machine Learning and Power BI.

MDM: The Necessity?

There has been a large surge in the digital data in the last decade. With the use of technology and database to manage the data in the enterprise to small organization level, the need of large-scale data management is felt.

  • 5 billion Gigabytes data in 2004
  • 25 trillion Gigabytes data in 2018
  • 44 zettabytes in 2020
  • 463 exabytes data by 2025 (expected)

 

MDM Workflow

Data strategy : Linking Business goals with tech

MDM aligns the data strategy with business strategy in top-down order.

Around the data, people, process, policy and culture are managed.

Analyzing and leveraging the data and its findings for the strategic decision makings

Integration and coordination of the distinct data sources

"Bottom-Up" management and inventory of data sources

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