Tamr Insights

In the life sciences industry, R&D for new drugs is a long, expensive process. Here's how unified clinical data can lead to faster breakthroughs.

When it comes to data quality and availability, there is a gap between expectations and reality. Learn how agile data mastering solves common data problems.

The market for data preparation tools is constantly evolving. Read 3 important market trends enterprises should consider while evaluating data prep tools.

Machine learning is responsible for a variety of changes across industries, including oil and gas. Highlighs from the Machine Learning in Oil and Gas event.

Here, we’re delving deeper into exactly what impact machine learning has on Big Data, and how it solves common challenges that enterprises are encountering.

We attended the 2019 Gartner Data & Analytics Summit -- here are the three major trends that we took away from these presentations.

Unify delivers a new suite of features to the data mastering workflow that provides enhanced reporting on how clusters of related records change over time.

What is machine learning? Read our introduction to machine learning for an overview of the technology and its importance for big data challenges.

When a company data strategy is closely aligned with business strategy, the path to achieving business goals is illuminated with powerful insights.

Migrating data to new software is like moving to a new house: you need to conslidate and clean. Learn about the role of Tamr in a unified data migration.

Tamr introduces Unify on the Go, a high-level Python library that programmatically interacts with our core solution, Unify.

Read this post about the benefits of machine learning for large scale schema mapping, and how it addresses challenges that often break rules-based systems.

Adopting a company-wide data strategy can give your company a competitive advantage, but how do you justify investment in a company-wide data strategy in “objective” terms for your CEO and C-suite?

Data is meaningless without a comprehensive, organization-wide strategy to consistently leverage it into actionable insights.

Avoid data lake failures with strong data management organization, and structure. Data lakes gaps between expectations and reality can harm your enterprise.

The excellent “Annual Big Data Executive Survey 2018” from New Vantage Partners confirms several important trends and issues that we at Tamr are seeing daily out in the field. Most notably is a dramatic increase in investment in AI projects…

Despite progress within data management, there are not many technologies that can operate with the speed, scale, and flexibility that customers demand.

How does your organization get data into the hands of the analysts? And what is the difference between data unification and data prep?

Genomics is the study of the structure, function, and evolution of genomes at a variety of scales. Find out how Tamr helps with genomics analysis.

Integrating data correction throughout the pipeline and leveraging expert sources are key steps in gaining better data quality through better feedback.

Too much dirty data, too many types of data & too many data sources. Traditional management & cleaning methods can’t handle them quickly enough to matter.