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

The Art of Social Media Analytics

In our latest blog the “CTI CustomerUniverse was not created by the Big Bang Theory” my colleague, Mark Janowicz, describes how through a systematic approach, using data and technology, we help businesses glean true insights about their customers.  Continuing this important and interesting topic, I’d like to focus on the Social Media Analytics of the

CTI CustomerUniverse was not created by the Big Bang Theory

The other day a colleague and I were discussing closed loop marketing (CLM) and what it really means in the marketplace.  In the end, marketing is trying to capitalize on customer to drive more revenue.  An interesting thing happened as we were discussing what enables you to do CLM and how to capitalize on customer,

Higher Ed – Everyone is Trying to Solve the Same Problem

Data Governance and Student Success — I just attended the Higher Ed Data Warehouse (HEDW) conference, which this year was hosted at the University of Arizona in Tucson.   This is our second year attending (as a sponsor).    U of A is a sizeable institution with an excellent facility to accommodate the 300+ attendees.  And Tucson

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

Higher education, student universe, student lifecycle

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

ABC’s of Analytics for Marketing Engineering

In today’s competitive and Omni-channel markets, the key to success of each business is understanding its customers. Through a systematic approach of harnessing data, leveraging analytics and knowledge, one can drive effective marketing decisions in a technology-enabled and model-supported interactive decision process. Customer Segmentation We live in a diverse society where customers differ in their

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


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