My previous post focused on the urgent Know-Your-Customer (KYC) and Anti-Money-Laundering (AML) issues facing financial institutions and the specific needs of business units. Business units are under pressure to keep pace, but so are compliance and auditing. All three lines…
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…
After a successful early career in R&D in Silicon Valley, I spent 12 years working as a carpenter. This may sound like a big U-turn. But, while I loved the intellectual piece of science, I really loved the people aspect…
In a recent blog post published by Mike Stonebraker, our CTO & Co-Founder at Tamr, Inc, he sheds light on the analytical method that supports decision-making known as data mastering. This practice, often referred to as Master Data Management (MDM),…
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…
Many analytics teams fail because they put all their eggs in one basket. Having a sole data pipeline vendor restricts your enterprise’s ability to produce responsive, flexible, and robust analytics that fuel transformative business and operational outcomes. In order to…
I spent many years in the AML and KYC analytics industry where I created analytics and metrics to help identify deficiencies of risk rating methods and converted data into meaningful insight into customer behavior and potential red flags. I also…
The pace of enterprise automation is accelerating with robotics, machine learning and AI. The robots are coming, and not just to the assembly line or mega-warehouse floor. To stay competitive, enterprises will need to understand how to use robots to…
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…
