SAKAI and ANALYTICS

A Case for collaboration in Analytics Space

2011 Sakai conferenceLos Angeles

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Analytics for ATLAS Advanced Teaching, Learning and Scholarship

Where are we today

What are the possibilities

Low hanging fruits

Where do we want to be

How do we get there

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Maturity ModelPredictive ModelingTim

e Line

Maturity

Growth

Infancy

Querying and Reporting

Scorecards and

Dashboards

Consumers Explorers Planners

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Progression towards data driven decision making

Reporting Needs

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Sage

Data, Data, Data

All the data are available already

Data Acquisition

Data Transformation

Data Richness

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Life Cycle Reporting

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• Courses and Classes

• Grades

• Development goals

• Donor Information

• State Grants• Federal Loans

• School & Personal Information

• Aptitude Data

Admissions Financial Aid

RegistrarAlumni

Need for Business Intelligence

Data Information Knowledge

Actionable Knowledge Strategic Recruiting Advising Intervention Student Retention

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Consumers of Information

Students

Faculty

Technologists

Traction Direction Exploration

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Usage Data

Participant Logins

Participant Summary

Page Hits

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Portfolio Activities

Portfolio Data

Types of Content

Most accessed

Participant Activity

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Indicative Data from SIS

Admissions Data

Alumni Data

Data Richness

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External Tagging

Aggregate Data from “Services”

“Recommend” Service

Assessment Matrices

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Institutional Key Performance Indicators

Qualitative Program Assessment

Multiple Entry Points

Gauging Student Engagements

Rolling Course Evaluation

Quantify Teaching Credentials

Retrospective Evaluation

Advisor Evaluation 13

Continued…

Cross Institutional Analysis

Co-curricular Activities

Student Life

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• Pentaho BI

• Oracle OBIEE

NYU BI Tools

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Contact Information

Lucy AppertDirector of Educational Technology,

Liberal Studies Programlucy.appert@nyu.edu

Madan Dorairaj, PMdorairaj@nyu.edu

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