3 Ways Colleges Can Use Data Analytics to Improve the Admissions Process

Andrea Steffes-Tuttle Education, Insights, Marketing Analytics, Predictive Analytics

Ask any high school senior applying for college—the pressure can be brutal. And while students worry if their SAT scores and extracurricular activities are enough to get them accepted, colleges and universities are facing an altogether different dilemma. When the common app became popular around ten years ago, students were suddenly able to apply to more schools without expending much …

How Machine Learning Helps Agencies Improve Their Services and Performance

Andrea Steffes-Tuttle Insights, Machine Learning, Marketing Analytics, Predictive Analytics

Marketers are under greater pressure than ever to optimize, measure, and ultimately predict outcomes of their efforts. Marketers working in an agency environment, serving clients, who are measured on the success of campaigns and dependent on that success to drive client renewals feel that pressure even more intensely. Many marketers have figured out the measurement of marketing programs—most agencies can …

7 Predictions for AI, Machine Learning & Data Analytics in 2019

Andrea Steffes-Tuttle Data Management, Insights, Machine Learning, Marketing Analytics, Predictive Analytics

  There was plenty of noise about Artificial Intelligence, Machine Learning, and Data Analytics in 2018. And we don’t expect it to be any quieter in 2019. To help you make sense of the hype, we’ve compiled some key takeaways from and predictions for these technologies, so you can position your business for success in the new year—and beyond. Finance …

The ABCs of Building, Managing, and Rebuilding Data Models

Gary Robinson Data Management, Insights, Marketing Analytics, Predictive Analytics

It’s estimated that we create an astonishing 2.5 quintillion bytes of data each day. With so much new data coming in—from sources as varied as social media to IoT—getting an accurate snapshot of what all of this information means for your business all comes down to how well—and how long—you use data models. Every model you run tells a story. …

Improving Marketing Programs With Predictive Analytics

Paul Maiste Predictive Analytics

The development of more sophisticated analytics practices and tools has increased the ability to understand customer churn, value, channel performance, and other behaviors.  Additionally, the greater accessibility of data, data processing and visualization has made smart, data-focused marketers that much more powerful. As a result, many of today’s marketers are investing in and leveraging data to answer questions like “what …

Predictive Analytics & Big Data

Paul Maiste Marketing Analytics, Predictive Analytics

Efficiently Using Big Data for Advanced Analytics In recent years, analytics has brought to the forefront of business decision making the importance of understanding customer churn, value, channel preference, and other behaviors. Providing support for the marketer’s understanding of these metrics has become a key deliverable for IT departments, and big data has increasingly become a more integral aspect of …

Machine Learning and Advanced Data Analytics Now Accessible to Non-Programmers

Andrea Steffes-Tuttle Data Management, Insights, Marketing Analytics, Predictive Analytics

LityxIQ Release 4.0 offers an even more powerful analytics solution Wilmington, DE: LityxIQ release 4.0, brings increased functionality and processing speed to a platform already known for its ease of use in data blending, predictive analytics, machine learning, and decision optimization.  With most advanced analytics software platforms, advanced analytics is out of reach for many marketers and business analysts due …

Do Marketing Models Work?

Simon Poole Marketing Analytics, Predictive Analytics

A common question we hear from clients is whether mathematical models used for target marketing always work, and will it work for my business? Whether models always work can be a subjective question, unless we define the parameters for success at the beginning of a project. It is true that marketing models vary in performance but they invariably result in …

Why Model Management is Essential for Modeling Success

Gary Robinson Data Management, Predictive Analytics

Modeling is a powerful way to predict behaviors and business outcomes. But, to maintain relevant and accurate models, they must be regularly monitored and adjusted to address changes that occur as part of the natural model evolution.  Managing the lifecycle of a model requires many factors that need to be considered to maintain its quality. The cost of storage, understanding …