Dun & Bradstreet and Tamr Join Forces to Deliver the World’s First Self-Driving Data Cloud

Growing – and thriving – in a complex business environment is challenging. Organizations need to drive revenue and manage cash flow, mitigate risks, and undertake sustainability initiatives. More than ever before, every business needs a comprehensive data management solution to cope with the growing complexity. 

The good news is that organizations have made considerable strides in collecting and utilizing both data generated from their internal operations and external data provided by third parties, vendors, or public data sources. However, most businesses still haven’t realized the full potential of their data. Why? Because they lack an effective master data solution. It’s clear that people still believe in the value of clean, trusted master data – but wish it was easier to get. 

Master Data as a Service

To help companies accelerate their master data journey, Tamr and Dun & Bradstreet are launching a Master Data as a Service solution. By combining the world’s most powerful engine for continuous data mastering and the world’s most comprehensive business data and analytical insights, this joint solution improves data quality and makes it more complete. 

Leveraging patented machine learning technology and unparalleled breadth and depth of data, our solution can provide more efficient workflows and consistent interactions. It improves decision making with enriched and standardized data leveraging the Dun & Bradstreet D-U-N-S® Number, while tracking changes globally to ensure the data remains up-to-date. 

Unique Value Proposition

With our Master Data as a Service solution, customers can get more insights from their data, efficiently and repeatedly. Already, customers using Dun & Bradstreet data with Tamr to automate 90% or more of their data pipelines increase the percentage of their data that is enriched and resolved by more than 20%. Master Data as a Service provides additional benefits, including:

  • Automation at scale: With 15 patents and counting, Tamr continues to drive innovation in machine learning. And when combined with Dun & Bradstreet data as a basis for pre-mastered entity referential source, the result is an amazing ML model.
  • Efficiency: Master Data as a Service brings together data and technology to enable companies to rapidly go from the current state to clean data on autopilot. Instead of buying one and trying to solve the other through manual efforts or bespoke IT projects, you can get both at the same time.
  • Deeper insight: With Dun & Bradstreet’s world-class commercial enrichment data matched with internal company data through Tamr, organizations can unlock insights at a faster rate for business decision making.
  • Less human error/bias: Clustered records make it easier for data stewards to focus on the ones that truly require attention, significantly reducing the volume of manual processes and the possibility of human errors and biases.

Building the World’s Richest Machine Learning Model

Master data management (MDM) began when technologies like machine learning (ML) were science fiction. Today, that’s no longer the case. Tamr’s machine learning is a proven technology that helps clean and curate data in record time. Combined with Dun & Bradstreet’s world-class commercial enrichment data and Dun & Bradstreet’s expert advisory services, there has never been a faster path to clean, curated master data.

For several weeks, Dun & Bradstreet and Tamr have been pre-training the ML model with Dun & Bradstreet data and sample customer data as well as pre-configuring the platform to create an out-of-the-box solution. Dun & Bradstreet’s advisory services will be the human guides observing the out-of-the-box model and, when appropriate, will optimize the Dun & Bradstreet match and tune the clustering model.

Getting Started

When data and technology work in harmony, it creates a level of automation that is unparalleled. Talk to us at Gartner Data and Analytics Summit to dive in. If you can’t make it, contact us to schedule a demo.

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