Whitepaper

Data Mastering with Geospatial Data for Public Sector

From disaster relief to battlefield logistics, Tamr enables the U.S. government to make data-driven decisions that rely on accurate geospatial data.

3 Key Strategies for Accurate & Granular Spend Analytics

It’s imperative that companies are able to answer key questions: Who am I buying from? Where can I consolidate my spend? How can I be better prepared for the next disruption? To do this businesses need a pipeline of accurate,…

Government Solutions Capabilities Statement

Tamr’s technology is built on a unique workflow of human-guided machine learning and data expert validation. These two capabilities complement each other to ensure optimal results in the entity resolution process.

Public and Proprietary Wells Data Mastering using Tamr

Tamr’s Well Data Mastering Solution solves the problem of dirty, disparate well data across all of an E&P company’s departments. Using human-guided machine learning that is scalable to any level, the software can cleanse and integrate the various information sources…

Data-Driven Taxonomy Design

Download this white paper to learn how Tamr uses machine learning to help organizations build a data-driven approach to taxonomy design.

Data Steward’s Guide to Machine Learning

What is data stewardship and what are the areas where machine learning can help data stewards? Download our guide to machine learning to find out.

How to Create and Run a Stonebraker Startup

In this chapter from the book ‘Making Databases Work’, Andy Palmer discusses what it’s like to run a company with Michael Stonebraker.

12 Steps to a Successful Analytics-Driven Organization

In 2020, it’s no longer a question of whether to become an analytics-driven organization, but how. Successful analytics-driven organizations will build information architectures that match workloads to answer the questions that create the most value for the business. The one-size-fits-all database is long dead, and so is the one-size-fits-all data/analytics platform. Download this ebook to learn more.

Three Generations of AI for Data Unification – Dr. Michael Stonebraker

Learn how enterprises have applied three generations of AI to address data unification challenges.

Agile Data Mastering: Raising Expectations for Master Data Management

As more organizations look to leverage data as an asset, the limitations of traditional MDM solutions have become a pressing challenge. Learn how Agile Data Mastering solves this challenge.