Customer Data Mastering for B2B Companies
Learn more about Tamr's modern alternative to customer master data management.
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B2B Customer Mastering for How You See Your Customers
How Tamr transforms data in Salesforce and power analytic insights that boost sales.
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Big Data isn’t the problem.
Bad Data is.
Eliminate the data quality bottleneck preventing you from realizing the full value of your data infrastructure. Master your data across domains at cloud scale.
Human-Guided Machine Learning
Obtain a complete view of your customers with a TamrID that is continuously updated with internal data and enriched with external sources.
Create a unified view of customer networks and accurate hierarchical ownership models.
Create a holistic view of customers across touchpoints to better understand customer behavior.
Get the accurate data you need to minimize supply chain complexity, reduce risk, and optimize MRO inventory.
Gain an integrated view of investigators, sites, and trials to optimize trial protocols and patient recruitment.
The only data mastering solution that offers cloud-native, hybrid, and multi-cloud deployments
Drive Growth, Lower Cost, Reduce Risk
Tamr's data mastering solutions offer a 90% reduction in manual development and curation proceses.
Drive Growth
Lower Cost
Reduce Risk
The DataOps Journey
Learn how data leaders across the globe are embracing DataOps to accelerate their businesses.
Ways to Get Started
Kathleen Maley was most recently Head of Consumer and Digital Analytics at KeyBank where she led a large team of analysts who used data and analytics to shape strategies.
This virtual event brought together business leaders and technology experts as part of a two-day summit. Watch all the sessions now on-demand.
Tamr’s human-guided machine learning solution helps enterprises master their customer data at scale to improve sales and marketing efforts, lower risk, and streamline operations.
Data-driven selling has more momentum than ever. According to Gartner, 60 percent of companies will transition from experience-and-intuition-based selling to data-driven selling by 2025.
