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.
At CTI, we have been helping our clients harness the power of marketing analytics to grow revenues. There is no shortage of customer centric data, but the real trick is the ability to bring all the data points together in a cohesive and useful manner this is actionable. It is truly a big data challenge
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
In this part 2 of 6 view blog series: In a recent survey conducted by CTI, marketers listed data integration as the number one obstacle to their ability to arrive at a single, trusted and complete 360-degree analytical view of their customers. In his latest video blog, CTI CustomerUniverse Product Director, Mark Janowicz talks about
I’ve been in the Data Analytics space for a long time and over the years I’ve worked on numerous HR “reporting, dash-boarding, and data warehouse projects.” Actually, I am in the process of wrapping up a 6 month project that integrates analytics into a Workday environment. Just to level set, Workday, is highly regarded as
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
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 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