Why I Joined Tamr: Mahesh Pai
My name is Mahesh Pai, and I’m the new Head of Engineering here at Tamr. I’d like to share a little about my background, and the story about why I decided to join Tamr. For over 22 years, I have…
Blog
Unified Data Migration: How it Works
Migrating your data to new software is like moving to a new house. You don’t just throw everything into the truck. You take stock of what you have. You decide what to keep and what to donate. And you clean.…
Unify on the Go
Regardless of the industry, it’s a well-known fact that data unification is a major challenge for any enterprise. Data scientists spend a majority of their time performing tasks such as locating data, unifying it from multiple sources, and cleaning it–all…
How to Create a Successful Analytics-Driven Organization
In 2019, it’s no longer a question of whether to become an analytics-driven organization, but how. To be successful, organizations need to build information architectures that match analytics workloads to answer the questions that will create the most value for…
Tying Payment to the True Measure of ROI: User Adoption, Money Saved and Growth Driven
I believe that all software contracts should tie payments to end-user adoption and real outcomes in context of either saving money or driving growth (or both!). Limited term software subscription deals can be used to accomplish this relatively quickly: if…
Big Data, Disruption, and the 800-Pound Gorilla in the Corner
As Big Data continues to evolve, we see companies working to address the amount of data that’s coming in, the rate at which it’s coming in, and the variation in data itself. There are a number of companies out there…
3 Hard Truths about Customer 360 and How You Can Overcome Them
Short for “a 360-degree customer view”, Customer 360 is a pillar of most data initiatives. With the explosive growth of data in cloud computing and CRM systems, organizations of all sizes must establish a Customer 360 strategy to deliver a…
Why Machine Learning Trumps Rules
Enterprise data and IT professionals often ask us: “Why do I need a solution like Tamr? We already have rules-based systems for data mastering.” It’s a valid question, and the answer is vitally important for enterprises that want to thrive…
The Benefits of Machine Learning for Large Scale Schema Mapping
At Tamr we define “schema mapping” as taking one or more datasets with similar content but varying formats and structure and consolidating them into a single data model with a standard set of tables, columns, and formats. There are no…
Three Generations of AI: From Data Warehouses to Machine Learning
For years, data unification has been a roadblock to effective data analytics. Data scientists report spending 80% of their time locating data, unifying it from multiple sources, and cleaning it before they can begin their analytics work in earnest. As…
