Business Intelligence @ Eastern Washington University

Strategy and Resources

BI Architecture

(EWU - Partial Service Catalog)

Requires Data Feed

API Y Y

Hosted C C

Centralized Reports J J J

Canned Reports (Client) 1 2 3 4 5 6 2 7 8 9 10 11

Consol. Data Staging (ODS)

Spreadsheet X X X

Database S O O U U O U O O O U S M M M S O ? ?

TRIO

Ho

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Maxien

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RM

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StarRez

Ban

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Soar

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etentio

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Accred

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Man

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Tenu

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agemen

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Certificatio

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rogram

s - EDIE

Institu

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Ban

ner - M

od

ules

OSSI (P

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AIM

Can

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Instru

ction

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Millen

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Web

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Desk

Ath

letics

Library

OthersStudent Busines OpsAcademic Instructional Web Svcs. Advancement

Dashboards OLAPStandardReports

DataMining

Source Systems

Source Systems

Source Systems

Source Systems

Source Systems

Extract / Transform / Load / Integrate

Source Systems

Source Systems

Transaction ProcessingStand Alone SystemsNormalized Data Model

Transform / IntegrateStandardize

Logical Data ModelsIntegrated DataCustomized User Layer

Data Cube Data Cube

Central Administration

Data Cube Data Cube Data Cube

ODS

Technology / Support Maturity

Level of Self Service

Sop

his

tica

tio

n o

f U

ser

Current

Proposed

Effect of shift in technology Demand Effects

Business Operations

Instructional Technology

Student and Academic Y5Y0

NormalizedModel

DimensionalModel

Canned Reports OLAP

OperationalSystem

Staged DataODS

DimensionalData Marts

Cubes(Multi-dimensional)

Transaction Processing

Strategic Insights

Shift to Self Service

AggregatedReal time student

performance.

“EmergingMarkets”

Student SuccessUniversity Success

Constrained by technical

skills.

Constrained by businessknowledge.

Top Ten Changes1. Ability to integrate entire service catalogue.2. “One version of the truth effect”.3. Automation of reporting.4. Centralized admin of access and security.5. Event driven reports and alerts.6. Data mining & advanced analytics.7. Reduction in # of reporting platforms.8. Consolidation of licensing.9. Elimination of legacy technology.

Use Case: Insights - Enrollment Management

Ability to Track Performance to Target Objectives• Move towards true management systems.

Year over Year Measurement Capabilities• Architecture required stretches the capabilities of ODS.• Storage intensive solution implemented.

Course Capacity Management• Significantly reduces time and effort to find open

courses.

Pipeline Reporting • Provides End to end business process view of data.

Use Case: Productivity - IT Department Lean Analysis

03

4

7

9

5

10

5

9

2

10

64

0.0625

0.03125

0.0625

1

0.375

1

0.5

2

0.50.03125

0.03125

5.59375

0

10

20

30

40

50

60

70

80

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 TotalWaiting

TotalWorking

Time Waiting

Time Working

Movement SummaryM1: Client creates ticket w/ insufficient detail.M2: Tech asks for more detail.M3: Client provides more detail.M4: Tech creates report.M5: Client tests report, changes requirements.M6: Tech reworks report, sends to client.M7: Client tests report, finds bugs.M8: Tech fixes report, sends to client.M9: Client tests report, approves.M10: Tech resolves ticket.M11 Client Closes ticket.

Day

s

Sequential Back and Forth Movements Between Tech and Client

(Identifying waste in movements, work in process and queuing)

Resources

• Dave Dean, Ph.D.

ddean@ewu.edu

509-359-2256

• http://www.educause.edu/ecar

• http://tdwi.org

• http://www.gartner.com/technology/core/products/research/topic

s/businessIntelligence.jsp

• Todd Hoffman

thoffman2@ewu.edu

509-359-2857