Tamr Achieves Premier Technology Partner Status With SnowflakeLearn More
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Accelerate time-to-value of SAP S/4HANA®

by Migrating and Mastering Data with Tamr

Tamr helps enterprises improve the ROI of their move to SAP S/4HANA® by enabling an automated, ‘quality-first’ approach to data migrations. Raw sources are validated, mapped, mastered, classified, and published to SAP S/4HANA® with 80% less human involvement than traditional approaches. End-users get richer, more complete data in less time with Tamr.

Deliver Business Results

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Automated the migration of 10M+ attributes across 100k+ source tables; delivered analytic-ready data within three months

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Enabled millions of dollars in new sales opportunities by providing a 20x improvement in the efficiency of integrating product master data

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Driving sales opportunities with compete customer records generated by migrating to a single SAP technology from multiple ERP` systems

“By using Tamr, by the time the companies we’ve acquired are ready migrate to SAP, a big portion of the data cleanup work will be done and that’s a huge win for us.”

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Edgar Garcia

Senior Vice President of Digital Transformation, 

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Accelerate adoption of new infrastructure by powering it with clean, complete data across business domains

Reduce migration risk by automating long lead-time processes such as data mapping 

Save money on human-intensive processes such as data cleaning, deduplication, and classification

Lay the foundation for better process management by integrating data sources beyond ERP

 

 

Solutions To SAP S/4HANA® Migrations At Scale:

Tamr enables more successful migrations through a structured five-step process of validating, mapping, enriching, mastering, and publishing raw source data to SAP S/4HANA®. Machine learning is relied on heavily to learn from previous ERP implementations & minimize human effort for tasks such as:

Schema mapping: After connecting to the raw sources, Tamr profiles and validates the data. Once completed, machine learning automatically recommends mappings from the sources to user-defined schemas, saving countless hours manually aligning source to target.

Data Quality & Enrichment: Once aligned to the user-defined schema, the quality & completeness of individual attributes is measured. Values are standardized and enriched using a Tamr-managed library of dozens of sources to ensure target systems are being loaded with accurate, verifiable data.

Record mastering: Tamr establishes relationships between records referencing the same entity, forming the basis for golden records which are published into the target system. Tamr’s patented human-in-the-loop process ensures data is mastered in a way that meets the needs of the new environment, and delivers 20%+ more accurate results with 80%+ less human effort versus traditional, manual-intensive approaches.

 

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Tamr’s open, cloud-native, machine learning-based approach enables data mastering at the scale of the most complex SAP deployments.