Presented to the NTC Analytics Peer Network
May 30, 2013
Eric Stephens
Associate Director, Research & Analysis
SESAC
The extensive use of data,
statistical and quantitative
analysis, explanatory and predictive
models, and fact-based management
to drive decisions and actions.
— Thomas Davenport, Competing on Analytics
The extensive use of data,
statistical and quantitative
analysis, explanatory and predictive
models, and fact-based
management
to drive decisions and actions.
— Thomas Davenport, Competing on Analytics


You face complex decisions.



You’re having problems with processes.



You’re troubled by risk.



Your organization is not making the most use of its
data.



You need to beat stiff competition.
Source: Adapted from INFORMS.
Greater overall efficiency
based on more informed
decision making
Increasing Revenue

Reducing Costs

Increasing sales to
existing customers
(cross-selling, up-selling)

Minimizing risk

Identifying new customers
or markets

Improving productivity

Optimizing prices

Reducing churn


Problem: Too many advances were not being fully
recouped



Examined 10+ years’ worth of recoupment data
combined with affiliate-specific attribute data



Identified areas of concern



Short-term result: Revise advance policies



Long-term goal: Predict likelihood of recoupment
(e.g., a propensity score)


Problem: Declining student performance and
graduation rates



Examined large sets of performance data



Identified Algebra I as strongest predictor of
graduation success
• Then found 8th grade creative writing → Algebra I



Result: Focus on success in 8th grade creative writing
ultimately helped increase graduation rates


Start from where you are—organizational analytics
is an evolutionary process



Identify business problems that could benefit from
analytics



Approach analytics is a combination of technology
and people



Obtain executive support!


INFORMS (www.informs.org)



Thomas Davenport (www.tomdavenport.com)



All Analytics (www.allanalytics.com)
(sponsored by SAS)

The Business Analytics Value Proposition

  • 1.
    Presented to theNTC Analytics Peer Network May 30, 2013 Eric Stephens Associate Director, Research & Analysis SESAC
  • 2.
    The extensive useof data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. — Thomas Davenport, Competing on Analytics
  • 3.
    The extensive useof data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. — Thomas Davenport, Competing on Analytics
  • 4.
     You face complexdecisions.  You’re having problems with processes.  You’re troubled by risk.  Your organization is not making the most use of its data.  You need to beat stiff competition. Source: Adapted from INFORMS.
  • 5.
    Greater overall efficiency basedon more informed decision making
  • 6.
    Increasing Revenue Reducing Costs Increasingsales to existing customers (cross-selling, up-selling) Minimizing risk Identifying new customers or markets Improving productivity Optimizing prices Reducing churn
  • 7.
     Problem: Too manyadvances were not being fully recouped  Examined 10+ years’ worth of recoupment data combined with affiliate-specific attribute data  Identified areas of concern  Short-term result: Revise advance policies  Long-term goal: Predict likelihood of recoupment (e.g., a propensity score)
  • 8.
     Problem: Declining studentperformance and graduation rates  Examined large sets of performance data  Identified Algebra I as strongest predictor of graduation success • Then found 8th grade creative writing → Algebra I  Result: Focus on success in 8th grade creative writing ultimately helped increase graduation rates
  • 9.
     Start from whereyou are—organizational analytics is an evolutionary process  Identify business problems that could benefit from analytics  Approach analytics is a combination of technology and people  Obtain executive support!
  • 10.
     INFORMS (www.informs.org)  Thomas Davenport(www.tomdavenport.com)  All Analytics (www.allanalytics.com) (sponsored by SAS)