As 2015 winds down, we’re counting down our Top 5 blog posts from the year. Continue reading Top 5 Blog Posts of 2015
This year, Knowledgent’s finest took part in the popular ugly holiday sweater contest, with a winner being selected from each our Financial Services & Insurance portfolio, our Healthcare and Life Sciences portfolio and Corporate. And the winner’s are… Continue reading Knowledgent’s Good, Bad & Ugly Holiday Sweaters
In honor of the Daniel P. Ryan Foundation, Knowledgent teamed up with one of our own, Chris Blotto, and his charity the Daniel P. Ryan Foundation, for a holiday gift drive to benefit children at the Bristol Myers Squibb Child Life Center at Robert Wood Johnson University Hospital in New Brunswick, NJ. Continue reading Knowledgent Cares & the Daniel P. Ryan Foundation
This post is the second in our series on machine learning (ML) algorithms, focusing on the assumptions, implications, and applications of various techniques. Following the first installment on linear regression, we’ll be discussing a subset of general linear models known as the logistic regression (also referred to as logit regression or a logit model). Continue reading Machine Learning Algorithm Series: Logistic Regression
Our client wanted to drive CEO/Board reporting on their key operating metrics to assess the heath of their business, however, they were stymied by lack of access to trustworthy data. The client’s data governance infrastructure had not been formalized strategically. The data governance council was meeting once a month but there was a lack of a formal data governance charter and prioritization of data projects. There was no operating model or role definition as pertaining to the data governance of key high-value business metrics. There were inconsistent processes for business metrics definition, ownership, as well as change and issue management of these high value metrics. Continue reading How a Top 5 Cable Television, Internet, and VoIP Provider Enabled Better C-Level Reporting Metrics
While we have always believed in the power of Master Data Management (MDM) and getting to a common language and lineage for transactional data, we have recently been seeing a more targeted problem around reference data management.