What Can Fundraisers Learn from Sales Data Science?

For the past few years we’ve worked closely with Higher Education Institutions on applying data analytics to optimize student admissions, financial aid, student retention and academic outcomes. We recognized from the onset that this student “lifecycle” has a straight progression to an alumni lifecycle which has a critical goal of fostering school loyalty and giving.

I have all the data…how do I find it? A case for Enterprise Data Catalog

The era of Big Data has been growing over the last 10 years.  Many enterprises have deployed a Hadoop distribution and have put in as much data as possible hoping to solve business problems and drive growth.  Data is the new currency is what we all hear, and we hoard all data we can get

How the Student Lifecycle Met LCME Big Data

The Liaison Committee on Medical Education (LCME) accreditation process for medical schools within the United State and Canada is a very intensive and time consuming process. As it should be, given the goal of these schools is to turn out some of the best medical professionals in the world.  One could argue that the LCME

Analytics for Higher-Ed: A World of Opportunities, But Beware

Student Life-cycle at HEDW Conference —   On April 23rd – 26th, CTI is once again sponsoring the Higher Education Data Warehouse conference. Last year at the conference we introduced the concept of the “Student Lifecycle” to drive recruitment, retention and success. The impact of analytics is driving improvements in University performance across a broad

A new IT Paradigm? Hardly – still the “I” before the “T”

From Data to Decisions — I’ve made my career in the world of enterprise computing and have lived through the barrage of marketing slogans that have accompanied decades of “paradigm” shifts. Do you recall the professed wisdom of these marketing mantras? HP told us “Invent”, but maybe we should first…. “Think” as IBM had suggested

Data Preparation as a Key to Success in Analytics

Critical Security Controls Assessment

Data analytics is a process, where information is gathered, modeled and interpreted, with the end goal of providing insights and implications for the business decision-making. Data project pipeline To be successful in it, we must approach a data project in a methodical way. There is a sequence of steps—a data project pipeline with four general