The First Steps in Building aVirtual Information Center

Mr. Erik BoweMr. Tomek Skurzak

Enterprise Information ManagementKennesaw State University

Agenda

• Reinventing Institutional Effectiveness and Institutional Research

• Using a Data Management Framework– Corporate Information Factory

• Designing a Virtual Information Center– Characteristics– Features

• Technologies– Demo

• Conclusion

Reinventing Institutional Effectiveness and Institutional Research

Evolutionary Trends in IE, IR, & IM:

• High priorities with Web publishing as well data warehouse and data mart creation and usage

• Increased efficiency and effectiveness through the adoption of new technologies and technical expertise

• Improvement of KSU’s enterprise-wide information systems and reporting functions– Including the University’s overall institutional

effectiveness

Reinventing Institutional Effectiveness and Institutional Research

Organization chart prior to April 2007:

Director of theCenter for

Institutional Effectiveness

Director ofInstitutional Research andInformation Management

Associate Director ofInstitutional Research

Assistant Director ofInformation Management

Administrative Associate

Administrative Coordinator

Information Analyst II

AdministrativeCoordinator

Reinventing Institutional Effectiveness and Institutional Research

Organization chart after April 2007:

Executive Director ofEnterprise Information

Management

Directorof

Enterprise Data Managementand Information Architect

Directorof

Enterprise InformationReporting

AdministrativeCoordinator

Business IntelligenceDeveloper and Manager

DatabaseDeveloper and Manager

Metadata andAnalytics Manager

Coordinator ofEnterprise

System Reports

InstitutionalResearch Associate

Coordinator ofSurvey Reporting

Reinventing Institutional Effectiveness and Institutional Research

2007-2012 Performance Goals:

• Improve Academic Access to Strategic Information

• Improve KSU’s Data Quality• Improve Interpretation and Consistency in

Information Reporting• Improve Statistical Tracking for Strategic

Initiatives• Improve Professional Contributions to SACS and

Information Management

Using a Data Management FrameworkThe Corporate Information Factory

http://www.inmoncif.com/library/cif/

The Corporate Information Factory (CIF) is a logical architecture whose purpose is to deliver business intelligence and business management capabilities driven by data provided from business operations.The CIF has proven to be a stable and enduring technical architecture for any size enterprise desiring to build strategic and tactical decision support systems (DSSs).

The CIF consists of producers of data and consumers of information.

http://www.dmreview.com/article_sub.cfm?articleId=1667

Using a Data Management Framework

• Defines the scope and basic concepts of the Data Management (DRM, IRM) function

• Developed, owned and offered by DAMA International and the DAMA Foundation

• A two dimensional matrix

– 9 Data Management Functions

– 7 Environmental Elements

• Outlines the content of the Data Management Body of Knowledge (DMBOK) document

– Modeled after the PMI PMBOK’s Project Management disciplines

• A guide to help:

– Define an Enterprise Data Management Strategy

– Assess Data Management Efforts

– Establish the Context for Data Management Programs and Initiatives

– Develop an IT Curriculum (for Higher Education Institutions)

– Organize DAMA Initiatives

Data Management Functions

Database Administration

Data Security Management

Data Architecture, Analysis &

Design

Metadata Management

Data Warehousing & Business Intelligence

Reference & Master Data Management

Data Quality Improvement

Unstructured Data

Management

Data Stewardship,

Strategy & Governance

Source: http://www.dama.org/public/pages/index.cfm?pageid=1

Database Administration

Data Security Management

Data Architecture, Analysis & Design

Metadata Management

Data Warehousing &

Business Intelligence

Reference / Master Data Management

Data Quality Improvement

Unstructured Data Management

• Document Mgmt• Image Mgmt• XML Mgmt • Geodata Mgmt• Content Mgmt• Taxonomy Mgmt• Knowledge Mgmt

• Enterprise Modeling• Value Chain Analysis• Data Integration Arch.• DW / BI Architecture• Logical Modeling• Physical Modeling• Design Stds• Model Mgmt • DB Design

• DB Change Control• Backup & Recovery• Performance & Tuning• Archival & Purging• Technology Mgmt

• Data Privacy Standards• User and Group Admin• Access View Admin• Password Practices• User Authentication• Data Security Audit

• Metadata Arch• Metadata Standards• Capture & Maintenance• Integration & Sharing• Query & Reporting • Lexicons, Glossaries, ...• Repository Admin

• DW / Mart Implementation• User Training & Support• Enterprise Reporting• Query & OLAP Analysis• Stat Analysis / Data Mining• Scenario Modeling

• Customer Data Integration• Product Data Integration• Code Management• Data Steward Control

• Regulatory Compliance • DQ Analysis / Profiling• DQ Audit & Certification• Cleanup Campaigns• DQ Rqmts Analysis

Data Stewardship, Strategy & Governance

• IT DRM Organization• Data Stewardship Council• Data Strategy Definition• Data Issue Management• Data Cost Management• Oversight & Enforcement

Data Management Functions

Source: http://www.dama.org/public/pages/index.cfm?pageid=1

Designing a Virtual Information CenterCharacteristics

• Easy– Chinese proverb: “Give a man a fish, and he will eat for a day.

Teach a man to fish and you feed him for a lifetime.”– No more technological “nightmares”

• Flexible– KSU is a dynamic, changing organization– Change follows a pattern of mathematical geometric

progression• Cost Effective

– Tangible and intangible benefits from the money spent– 1% of KSU’s annual budget

• Integrates– Adhere with KSU’s EWTA (Enterprise-Wide Technology

Architecture)– Existing systems

Designing a Virtual Information CenterFeatures

• Drill-down (vertical)– Move downward:

• University• College/Division• School/Department• Degree Program

• Drill-through (horizontal)– Totals:

• Ethnicity• Gender

• Integrated detail view to ANY drill-down and drill-through level– Microsoft Excel file of details– User authentication/authorization at any of the levels

• No generation of browser history– Interactive, synchronous

Designing a Virtual Information CenterFeatures

• “Smart” graphs– Dynamic, change during drill-down and drill-through– Style and characteristic changes

• Time stamped pages– When the data was last submitted to the data warehouse– When the web page is generated

• Object-oriented– High reusability– To include:

• Data warehouse (no use of star or snowflake schemas)• Web pages

• Continuous logging of user activity– Web analytics

Designing a Virtual Information CenterFeatures

• Easily modifiable web pages and analytical based programs– More than just style

• Integration text and analysis in unstructured digital documents with structured data– WebDAV (Web-based Distributed Authoring and Versioning)

• Track user profiles and interact with the KSU community– Capture IP address and username when the browser “hits” the

website– Electronically “talk” with Dean’s and Chair’s using web 2.0

collaboration technologies

Designing a Virtual Information CenterMake the KSU Fact Book Dynamic

• The Fact Book is currently oriented to the past– Basic trend analysis

• Currently uses structured data– Some “sneaker net”

• The focus is gravitating toward using automated processes– Most are run manually

• The orientation will include present– Integral part of enterprise information reporting

• The orientation will ultimately include the future– Forecasting

Technologies

• SAS Enterprise Intelligence Suite for Higher Education (EISE)– This ain’t your mama’s SAS, so do be given’

your mama none

• Oracle Database 10g Release 2 Enterprise Edition

• Microsoft Visual Studio 2005 Professional Edition– ASP.NET (Visual Basic)

Technologies

What technologies is KSU currently deploying:

• Enterprise Data Warehouse Creation– SAS Data Integration Studio – SAS Information Map Studio– Oracle Database Enterprise Edition

• Enterprise Data Marts Creation– SAS OLAP Cube Studio

• Expand Self-Service Access to Information– ASP.NET (Visual Basic)– SAS Information Delivery Portal– SAS Web Reports Studio

• Make the KSU Fact Book Dynamic– ASP.NET (Visual Basic)– SAS Enterprise Guide

ASP.NET (Visual Basic)Demo

SAS EISEDemo

Conclusion

In building a virtual information center:• Having a plan is key

– The Corporate Information Factory – DAMA Data Management Functional Framework

• Technology should not drive the plan, but be an integral part of the plan

• The right technology tools are always needed

• Need upper management involvement to succeed

Resources

• Corporate Information Factory– http://www.inmoncif.com/

• The Data Management Association– http://www.dama.org

• The Data Warehousing Institute– http://www.tdwi.org/

• The Data Administration Newsletter– http://www.tdan.com/

Questions and Answers

Thank you for your time

Contact Information http://vic.kennesaw.edu/

Erik Bowe Tomek SkurzakDirector, Enterprise Data Management Database Developer and

ManagerKennesaw State University Kennesaw State University1000 Chastain Road, MD 0110 1000 Chastain Road, MD 0110Kennesaw, GA 30144-5591 Kennesaw, GA 30144-5591770.499.3360 770.499.3579ebowe@kennesaw.edu tskurzak@kennesaw.edu