Tamr Overview

Businesses have mission-critical questions to ask and the data assets they need to answer them. They’ve invested heavily in big data analytics — $44 billion in 2014 alone, according to Gartner. But they still can’t consume about 90% of their collected data, which remains scattered in silos and sources across the organization.

Data cleaning and curation is the cornerstone of modern business intelligence pipelines. Data must first be “Cataloged” and “Connected” before it can be “Consumed” by applications and various analytics tools. Learn how the Tamr data unification platform helps businesses addresses these challenges.

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Sourcing Analytics

Sourcing Analytics

Supply chain managers need complete, accurate, and actionable information to identify cost saving opportunities across the enterprise. Yet very few organizations have been able to leverage all available data for analysis and savings. Read how Tamr can integrate supply chain data to produce a unified view across a variety of data sources.

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Case Study: Drive down component cost and improve payment terms

Case Study: Drive down component cost and improve payment terms

A highly diversified manufacturing corporation was facing a major obstacle around generating a single view of their suppliers. The company had successfully grown organically in many industries for multiple decades but the primary driver of growth over the years has been mergers and acquisitions. The result of this model is an operating environment with numerous information silos spanning multiple business units.

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