ANALYTICS | CASE STUDY

Formulate a Predictive Admissions Strategy

COMPANY OVERVIEW

A leading New England technical institute that looking for a way to refine its admissions process.

BUSINESS NEED

The college was struggling to admit the right students to their academic programs – specifically, students who would continue at the school beyond their freshman year. The school needed a way of evaluating prospective students’ likelihood of success that was integrated into the admissions process and provided actionable recommendations admissions officers could use.

SOLUTION

The client’s leadership team brought in Ironside data scientists to help realize the full potential of their data by doing the following:

Plan an Approach

Collect necessary historical and current data from relevant departments and cleanse it
Evaluate predictive approaches and choose the most effective model
Feed predictive results into BI ecosystem to allow visually rich report displays and comparison with actuals
Score prospective students dynamically as information comes in to direct admissions decisions

Prepare the Data

Get individualized scores for each prospective student by preparing and transforming their historical admissions data to work in a predictive model
Select meaningful categories of information and merge data source formats from different departments into a standard presentation

Test and Integrate Models

Isolate useful data sources and build a clear project roadmap
Prepare data sets for predictive modeling, ensuring quality and standardizing format
Test modeling approaches and integrate best results into the BI workflow
Work prospective student scores into BI reports for easy comparison and consumption
Automate score updates to provide admissions with the most current model results in real time
Create easy to interpret recommendations individualized to each candidate to allow quick action

Inform Action

Output a score alongside current reporting numbers
Translate projections into usable recommendations for admissions counselors
Allow for full collaboration and rapid response across all functions related to admissions, such as financial aid and business offices, optimizing planning
Boost flexibility, allowing instant adjustments to the database to reflect predictions

KEYS TO SUCCESS

The client achieved successes through predictive admissions that enabled them to:

Connect data resources from multiple departments to allow a full view of admissions variables
Provide easy access to incentivization recommendations for desirable prospects

Unify BI actuals with predictive admissions strategy for comparisons and constant refinement
Deliver real-time recommendations empowering admissions counselors in a timely fashion

READ ADDITIONAL CASE STUDIES

Strategy Data Analytics Platform

Empower the Team with Experience Design

Enable the Tableau Enterprise

Formulate a Data & Analytics Roadmap for Acquisition Growth Strategy

Establish a Collaborative Data Governance Strategy

Build an Enterprise Data Warehouse for Self-Service Analytics

Implement a Single View of the Customer

Enable Current and Future Growth with Adaptive Insights

Enable Interaction Reporting with Tableau

Use Data to Drive Personalized Marketing

Allow Flexibility & Resiliency with Standardized ETL

Migrate from Oracle Discoverer to Cognos Analytics

Enable Cognos Analytics Migration in Financial Services

Become one of our successful clients.

Take our Data & Analytics Self-Assessment

Send this to a friend

Your emailRecipient email