The retailers that we deal with are, again, Fortune 500 companies. They have multiple lines of business. They have optical, they have a money store, money transfers, money orders. They have their regular retail, they have their online retail. A challenge that they have is each one of those systems…
Data Driven Solutions for Credit Reporting [VIDEO]
Credit reporting agencies use identity resolution and matching to figure out what really belongs to your credit profile. It’s not as simple as just taking a social security number and saying, “These are the purchases you’ve made.” Another example that impacts us all on a day to day basis, whether…
High Performance Entity Resolution for Mergers and Acquisitions [VIDEO]
In a bank mergers and acquisition, there is always the customer overlap. That becomes a regulatory compliance, customer service issue, and customer retention issue. Also there is always redundancy in the product lines. So what products from bank A that is acquiring bank B should survive the merger? Which products…
A Closer Look at Black Oak Analytics [VIDEO]
We founded Black Oak about a decade ago to address the challenge of large, complex data sets and the ability to link all of those records together. In the mid-80’s, I ran a mortgage banking operation and one of the things that we did was buy loans from multiple suppliers….
How Can You Know if HiPER Is Right for You?
Choose Right Proprietary Data Management System Today, implementing the right clinical data management solutions is critical. But how do you know what those are? High Performance Entity Resolution (HiPER) software is an advanced entity resolution solution that can provide configurable and accurate data management. When you evaluate HiPER, we will…
Why We Aren’t Writing a ‘2017 Big Data Trends’ Think Piece
Moving Past Trends If you are looking for theory and conjecture concerning your data, you can find it quite easily. There is no shortage of people claiming to know the “latest big data trends of 2017.” But do they really help you in moving forward with your data in 2017, or will…
Why and How: The Identity Matching Process of Entity Resolution Explained
The number one issue concerning data quality today is the existence of multiple sources for the same information. When this problem becomes excessive, your organization begins to collect duplicate data, creating multiple identities for the same entity. If your team is not aware of this systematic issue, you could be…
The Next Generation of HiPER: Entity Resolution in Hadoop
If you read any news about Big Data in 2015, chances are you will come across a reference to Hadoop. For years, the ability to process large data sets has been limited by processing power. Instead of running locally on one server, Hadoop processes data across clusters of less powerful…