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How to Avoid the 10 Big Data Analytics Blunders

Leading organizations are leveraging an analytics-driven approach—fueled and informed by data—to achieve marketplace advantages and create entirely new business models. However, even the savviest companies are repeating common missteps. I recently gave a presentation on this very topic at the…

Aug 27, 2020 Featured Content

A Chief Product Officer’s Perspective on Gartner’s Market Guide for Data Preparation Tools

The market for data preparation tools is crowded and complex — from only supporting self-service use cases to enabling data and analytics teams to build agile datasets at enterprise-scale — organizations have an opportunity to harness related technologies and leverage…

Jul 27, 2020 Featured Content

Fear of data readiness is slowing the progress of digital transformations at Financial Services companies

Despite universal advanced or expert data management expertise in large U.S. financial institutions, more than a third (thirty-five percent) that are pursuing digital transformations with less-than-anticipated impact are not expecting results for three to five years. Further, nearly half of…

May 28, 2020 Featured Content

Finding more value from managed care data across an organization with Tamr

In a previous post, I wrote how life science companies can gain an edge on their competition by constructing a well-laid foundation of curated data for each entity in the very complex managed care ecosystem. While this may not be…

May 15, 2020 Featured Content

How Tamr is Helping the Exploration & Production Industry Master Decades of Messy Data

If you are not on the IT side of the energy industry, you may not have heard of the concept of data mastering (often referred to as master data management, or MDM), but those of us who work in other…

Nov 27, 2019 Featured Content

Five Reasons Why You Should Buy Not Build Enterprise Software

In the age of open-source software, it’s tempting to solve your data problems by building your own tools. Here at Tamr our biggest competition is not other software companies but telecoms, multinationals and oil and gas giants who are building…

Nov 13, 2019 Featured Content

How Toyota Masters Data at Scale Using Tamr and AWS

Tamr co-hosted a webinar with Amazon Web Services (AWS) featuring Toyota and their transformational story of data mastering at scale. Allow us to give you a glimpse of the challenges they faced, how Tamr helped provide a sustainable solution and…

Nov 1, 2019 Featured Content

Why Low Latency Matching is critical to Data Mastering at Scale

It’s common to think of data mastering as the way we turn our disparate and dirty data sources into something clean that we can use to power data applications. A few dozen sources of customer data go through the mastering…

Oct 18, 2019 Featured Content

Embracing the Data Variety Challenge: The Time Has Come.

Three years ago, my partner Mike Stonebraker was working on a research project at MIT to test the boundaries of data integration and curation. Mike and his fellow researchers wanted to see if it was possible to connect thousands or…

May 18, 2014 Insights

Three Generations of Data Integration Systems

(In this entry, I explain the three generations of data integration products and note what appears to have caused the transitions between the product families.) In the 1990s, data warehouses arrived on the scene. Led by the major retailers, customer-facing…

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