Qlik Case Studies Beyond 12: Helping low-income and first-generation students move to higher education with Qlik AutoML

Edit This Case Study Record

	Beyond 12: Helping low-income and first-generation students move to higher education with Qlik AutoML Qlik

Beyond 12: Helping low-income and first-generation students move to higher education with Qlik AutoML

Qlik

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Education
Applicable Functions	Human Resources
Use Cases	Predictive Quality Analytics
Services	Data Science Services
Challenge	Beyond 12, a technology-based services organization, aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. However, they lacked a data scientist on staff who could build a predictive analytics model. They needed a robust in-house tool managed by their existing engineering staff for a viable and scalable solution. The objective was to refine Beyond 12’s approach to addressing their analytics needs and to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time. Read More
About Customer	Beyond 12 is a technology-based services organization that aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. They serve students by empowering high schools to track alumni progress through college, connecting students to critical campus resources and to each other, and supporting students through college with a full-time staff of college coaches who are recent college graduates and from the same communities as the students they serve. Read More
Solution	Beyond 12 decided to use Qlik AutoML to build a predictive analytics model. This model would allow Beyond 12 to identify which students need the most help and when, and influence the types of support that college coaches, the MyCoach app, and colleges themselves can provide. Qlik AutoML has the potential to give Beyond 12 the ability to leverage their historical data and past outcomes to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Education

Applicable Functions

Human Resources

Use Cases

Predictive Quality Analytics

Services

Data Science Services

Challenge

Beyond 12, a technology-based services organization, aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. However, they lacked a data scientist on staff who could build a predictive analytics model. They needed a robust in-house tool managed by their existing engineering staff for a viable and scalable solution. The objective was to refine Beyond 12’s approach to addressing their analytics needs and to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time.

About Customer

Beyond 12 is a technology-based services organization that aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. They serve students by empowering high schools to track alumni progress through college, connecting students to critical campus resources and to each other, and supporting students through college with a full-time staff of college coaches who are recent college graduates and from the same communities as the students they serve.

Solution

Beyond 12 decided to use Qlik AutoML to build a predictive analytics model. This model would allow Beyond 12 to identify which students need the most help and when, and influence the types of support that college coaches, the MyCoach app, and colleges themselves can provide. Qlik AutoML has the potential to give Beyond 12 the ability to leverage their historical data and past outcomes to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time.

Impact #1	Beyond 12 is building a predictive analytics model using Qlik AutoML.
Impact #2	The model will allow Beyond 12 to identify which students need the most help and when.
Impact #3	The model will influence the types of support that college coaches, the MyCoach app, and colleges themselves can provide.

Impact #1

Beyond 12 is building a predictive analytics model using Qlik AutoML.

Impact #2

The model will allow Beyond 12 to identify which students need the most help and when.

Impact #3

The model will influence the types of support that college coaches, the MyCoach app, and colleges themselves can provide.

Download PDF Version

Overview

Beyond 12: Helping low-income and first-generation students move to higher education with Qlik AutoML

Operational Impact