Tamr
Founded in 2013, Tamr is based on Turing award winner Mike Stonebraker’s research at MIT’s Computer Science and AI Lab. Driven by a shared vision, Dr. Stonebraker and his business partner, Andy Palmer, embarked on a mission to empower companies to unify and master the vast and ever-evolving landscape of highly-diverse data. Today, Tamr remains at the forefront of the quest to improve the quality and trustworthiness of data. Using the perfect fusion of AI and human intellect, Tamr helps businesses uncover new insights from their data so they can work smarter and reach new levels of success.
As the leader in data products, Tamr enables customers to accelerate their time-to-value by delivering validated, trustworthy insights. Tamr’s data products are the first of their kind to unite AI with human intelligence to improve data quality and enrich data with first- and third-party data so businesses can revolutionize customer experiences, drive greater ROI, boost operational efficiency, and avoid risks. Using Tamr’s cloud-native and SaaS solutions, industry leaders uncover the insights they need to stay ahead of the competition in a rapidly-changing business environment.
Featured Products
-
B2B Customers
Get the accurate, trustworthy data you need to know your customers better. Reveal new cross-sell/upsell opportunities, improve market segmentation and targeting, increase conversion, and operate more efficiently.
-
Market Data Linkage
Power insight-driven investment strategies with clean, enriched data. Spot investment opportunities, benchmark portfolios, and tap into the insights you need to make confident investment decisions.
-
Suppliers
Get a holistic view of your supplier data, all in one place. Optimize sourcing strategies, confidently onboard suppliers, and minimize your supply chain risk
Featured Content
-
Is it John, Jon, or Jonathon?
Ever given any thought as to why you receive two to three of the same advertising mailer from the same company on the same day? You most likely have multiple identifiers in their system (or across multiple systems) and look like different “prospects.”
-
What is Customer Master Data Management
Customer data is one of, if not the most, valuable assets for a company. McKinsey & Co. finds that organizations that leverage insights from quality customer data outperform peers by 85% in sales growth and 25%+ in gross margin.
-
Multimedia Center
-
Getting Started with Data Products
On stage at Big Data London, Anthony Deighton shared why data products are not just about managing data; they're about making data accessible and useful across your organization.
-
Harnessing the Power of Data Analytics for Business Innovation: An Interview with Adam Wilson, SVP and GM at Alteryx Analytics Cloud
In today's highly competitive business environment, the key lies in discovering new and interesting data, seamlessly onboarding it, and stitching it together to form training sets that generate powerful algorithms
Articles / Case Studies / Videos
-
Tamr’s Five Essential Data Cleaning Techniques
Reading time: 3 mins
With all that can go wrong in a given dataset, companies spend a significant amount of time and effort cleansing data. It is estimated that data scientists spend more than 80% of their time cleaning data. Many organizations are beginning to rely on data products, such as those offered by Tamr, which use AI to… -
The People of DataOps
Reading time: 8 mins
To produce a great piece of music, orchestras require a variety of independent, skilled musicians working together under an equally skilled conductor. With all the innovations in their instrumentation and the talent of composers, success for an orchestra comes down to humans working together perfectly in the moment — ideally making it all look effortless.… -
-
Mastering Data Variety
Reading time: 13 mins
Data variety — the middle child of the three Vs of Big Data — is in big trouble. It’s in the critical path of enterprise data becoming an asset. And it’s been slow to benefit from the kind of technology advancements experienced by its “easier” siblings, data volume and data velocity. Meanwhile, most enterprises have… -