Tamr is co-hosting 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,…
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…
Your customers live in an “Amazon World”: they expect data and analytic insights, delivered in a neat package as quickly as possible. But as a leader of data and analytic teams, you know that in order to bring those insights…
As a Chief Data Officer (CDO), you can recognize that while traditional Master Data Management (MDM) techniques might have worked well for the type and scale of data mastering challenges that existed 15 years ago when the solution came about,…
The O’Reilly Strata Data Conference is an event that “helps you put big data, cutting-edge data science, and new business fundamentals to work.” Attendees at the event dissect case studies, develop new skills through tutorials, and share best practices in…
To be competitive, all businesses today must be much faster at asking the right questions and making decisions quickly, with the ultimate customer experience always top of mind. (Think Amazon.com) However, in enterprises, this agility has been painfully impeded by…
Building a best in class DataOps ecosystem is about more than just technology — it’s about combining people, process and technology in a way that delivers increased analytic outcomes for the enterprise. Ultimately, a well-designed DataOps ecosystem holds the key…
