Shannon Costin, Roger Sims, Zachary Southerland, Pravesh Thaiba, & Ying Zhou

*Business Intelligence Assignment

*To develop a non-working prototype of an application for the St. Louis Police Department.*This presentation will demonstrate how Group #2’s prototype:*How BI might be used to better understand the problem*Decisions supported with BI*Maintained data*Analytics that will be provided*DASHBOARDS

Objectives

St. Louis Police Department

User Name:

Password:

Our application starts after a common log-in, found on a police department’s computer

Excluded Districts:

Amount of Time:

Prediction Date:

Basic Information

Providing information about the location, time, & date to predict

Excluded Districts:

Amount of Time:

Prediction Date:

Basic Information

An example of what it might look like, when the user is editing the ‘Basic Information’

Time:

Date:

Race:

Population:

Economy:

Special Event:

Variable Importance WeightDefault setting will weigh variables equally

Time:

Date:

Race:

Population:

Economy:

Special Event:

Variable Importance WeightExample of what it would look like, if a user wanted to change any setting

Decision Data SummaryUser:

John Smith Excluded Districts:

Amount of Time Evaluated:

Prediction for:

Variable Weight:

#1, #2

1 Year, 8 Months, 16 Days

October 3, 2012

Time: 20 Date: 90Race: 50Population: 30 Economy: 55 Special Event: 60

Enables a “save-able” or “print-able” summary for records, sharing, etc...

*The purposes of this application:*Enable the user to visually see the impact of different variables/factors*Give the user an opportunity to view the data in many different visually appealing ways.*Provide the user with an estimate of the approximate # of homicides (during a specific timeframe, using STL’s districts as location)*The actual computation of the data (algorithm) will be hard-coded into the application*The user will be given the opportunity to change the variable weight used in the algorithm

What Exactly is Happening?

*All of the data presented to the users will be the same, however the default view (setting/preference) will be different based on the particular user.*The user level will be determined by the user’s log-in.

The users will be divided into 3 default setting groups:

Decision Information: Piaget’s Influence

User

Novice AverageExperience

d

Decision Information: NoviceHigh Crime: REDMed. Crime: PINKLow Crime: YELLOW 6

1

2

3

4

5

7

8

9

Modeled after The Weather Channel

Decision Information: Average

District Homicides With Intent1 11.52 7.372 3.34 2.143 14.54 9.314 10.75 6.885 20.92 13.396 33.02 21.137 15.49 9.918 13.13 8.409 3.32 2.12

*All pictures, graphs, charts, etc. will be magnified as the user drags the mouse over it, & when double-clicked will pop-out into a separate window

Decision Information: Experienced

With Intent

Slightly weighted with more past results

ChartDistrict Homicides With Intent

1 11.52 7.37

2 3.34 2.14

3 14.54 9.31

4 10.75 6.88

5 20.92 13.39

6 33.02 21.13

7 15.49 9.91

8 13.13 8.40

9 3.32 2.12

A chart/excel visual, if a user just wants to looks @ the raw data

Graphs

With Intent

Additional Variable #1

Additional Variable #2

Additional Variable #2All graphs have ‘magnify’ & ‘pop-out’ feature

Interactive MapBalloon A

Address:Street NameSt. Louis, MO

63102

Homicide Gauge:

Homicide withIntent Gauge:

As you click/move the balloon: the address and gauge sections will automatically refresh

District MapHigh Crime: REDMed. Crime: PINKLow Crime: YELLOW 6

1

2

3

4

5

7

8

9Information changes based on the information/criteria provided earlier in the application

*The “Factor Analysis” page (a.k.a. “Variable Analysis” page) is designed to help the user understand the importance of how the variables/factors determine the results.*Variables/Factors:*Economy*Time*Race*Population*Special Event

*An example of what this page will look like is demonstrated next.

Variable/Factor Analysis

Variable/Factor Analysis

Economy

Jan20

11

Feb20

11

Mar201

1

Apr20

11

May201

1

Jun20

11

July2

011

Aug2

011

Sep2

011

Oct 20

11

Nov 20

11

Dec 20

110

10

20

2011

Jan-10

Feb201

0

Mar201

0

Apr20

10

May201

0

Jun20

10

Jul20

10

Aug 20

10

Sep2

010

Oct 20

10Nov-

10Dec-

100

10

20

2010

Jan09Feb

09Mar0

9Ap

r09May0

9Jun

09Jul

09Au

g09Se

p09Oct0

9Nov0

9Dec0

905

10152025

2009

3 Year Factor Filter

*Questions, Comments?

THE END