The First Steps in Building a Virtual Information Center Mr. Erik Bowe Mr. Tomek Skurzak Enterprise Information Management Kennesaw State University
Dec 18, 2015
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
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 [email protected] [email protected]