Subscribe to get the latest ideas and updates from Tamr.
Traditional data mastering solutions prevented Sunovion Pharmaceuticals from using its data to drive business results. They didn’t scale and adding new data sources was challenging. With Tamr, Sunovion quickly added new data sources and leveraged machine learning to master its data…
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,…
DataOps is one solution — DataOps is an emerging set of practices, processes, and technologies for building and automating data pipelines to meet business needs quickly. Watch this webinar co-hosted by Tamr & DataKitchen to learn how to leverage DataOps and analytics to accelerate business value.
During a time characterized by uncertainty and an unparalleled change, businesses and the global economy must demonstrate resilience to weather the storm. As a relatively new position in enterprises, Chief Data Officers (CDOs) have had to prove their resiliency every…
Every Chief Data Officer (CDO) knows that accurate spend analytics makes the difference between a “business as usual” and a “best-in-class” procurement organization. Without the right spending insights, organizations can’t make the smart decisions that lead to continuous improvements and economic…
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…
CAA is committed to finding the best opportunities for the world’s leading talent, brands, and enterprises. The challenge? Unifying internal data about their clients with highly variable digital media data from media suppliers and consumers. With Tamr, CAA was able…
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.
Answering Business Questions with More Data in Less TimeAre your big data and analytics up to par? Nearly half of the global company executives in a recent Forbes Insight/Teradata survey certainly don’t think theirs are. This book examines how things…
