Business Intelligence

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 […]

ABC’s of Analytics for Marketing Engineering

Marketing engineering enabled by data analytics enables effective marketing decisions using an interactive modeled decision process.

Data Preparation as a Key to Success in Analytics

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 […]

Important Considerations When Implementing an ETL Tool

So you’ve decided to take the jump. It’s been years of hand-coding ETL in your business intelligence department. Everything from one-time loads, 3rd party data delivery, type 2 dimensional loads, and decommissioning projects. The team has built an audit frame-work, alerting framework, and thousands of uncommented, non-standardized code. Now is time for a new paradigm […]

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