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John Bao Vuu
Director of Data Management
www.enterpriseim.com
www.linkedin.com/in/johnvuu
Data Warehousing
A Fit-for-Purpose Approach
Director of DM
Consultant | Advisor
John Vuu SPECIALTIES
✓ EIM Strategy & Solutions
✓ Data Governance / DQ
✓ Business Analytics
✓ Data Warehouse
INDUSTRIES
✓ Banking
✓ Insurance
✓ Ecommerce
✓ Healthcare
• 18 years experience in Data Management
• Founder of 2 technology companies
• Former Accenture BI Consultant
• DM Director at EIM Partners
• BA degree in Finance – Western WWU, Washington, USA
• BS degree Information Systems – WWU, Washington, USA
About the Speaker
Presentation Outline
• Introduction
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose”
Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
Presentation Objectives
1. What is a Decision Support System / Architecture?
2. What is a Data Warehouse?
3. Why develop a Data Warehouse?
4. What are the challenges of developing a Data Warehouse?
5. How to develop a Data Warehouse more effectively
6. Strategic business alignment with Data Warehouse
Enterprise Decision
Support Architecture
Enterpriseim.com
CUSTOMER
INTERACTION
Search
Store
Email
Mobile
Social
Online
CRM
Acct
FIN
Billing
Order
MRKSales
PTNR
DATA
WAREHOUSE
BUSINESS INTELLIGENCE
BUSINESS ANALYTICS
Data Lifecycle
What is Decision Support?
Decision Support system (DSS) is an information system
used to support decision-making in an organization. A DSS
lets users sift through and analyze massive amounts of
data and compile information that can be used to solve
problems and make better decisions.
What is Data Warehouse?
What are the Features of a Data Warehouse?
✓ Subject Oriented
✓ Integrated
✓ Time Variant
✓ Non-volatile
Data Warehouse – A consolidated database…for operational and
strategic decision support
Data Warehouse Architecture
Source
Systems
Data
Integration
Foundation Summary
BI
Delivery
Data Standardization
Data Cleansing
Metadata Generation
Metadata
Repository
Atomic / Conformed
Dimensions
Aggregate Application
Support
Design, Development
ETL
Acquisition
Reporting, Analytics
DATA WAREHOUSE
BUSINESS INTELLIGENCE
DATA WAREHOUSE
BUSINESS INTELLIGENCE
Benefits of
Data Warehouse
Enterpriseim.com
3 Key Benefits of Data Warehouse
Better Decision Making – Business insight. Fact-based
Enterprise View – Comprehensive view of business
Easy Access – Single point of access and reconciliation
“Organizations should have a
long-term strategy on Data
Warehouse, but expect short
term value”
3 Technical Challenges of Data Warehouse
Ensuring “acceptable” data quality
Integrating business and data rules
Enforcing enterprise data standards
Poor data quality costs as much
as 25% of an organization’s
revenue each year.
TDWI – The Data Warehouse Institute
Data Warehouse Implementation
“Fit-for-Purpose” Principles
Enterpriseim.com
3 Key Principles of “Fit-for-Purpose” Data Warehousing
Business-driven – Only immediate business needs.
No more – no less
Flexible – Rapid release and feedback loop. Adjusts to
business priorities
Fast Incremental Delivery – Shorter delivery cycles.
Immediate business impact
Fit-for-Purpose is about putting business needs first by aligning technical
solutions to the business growth strategy, thereby, reducing organizational
risks and increasing business performance.
Complex Project – Complex, time-consuming and often expensive
Prolonged Effort – Data-driven (Waterfall) less flexible. Longer to
deploy
High Risk – 50% of traditional Data Warehouse project fail
Why “Fit-for-Purpose” Data Warehousing?
RISK
Strategic Business Alignment
with Data Warehouse
Enterpriseim.com
Business Alignment with Data Warehouse
Maturity of Organization
Strategic Fit / Core competency
Resource availability and ability
RISK
The Continuum of
Data Warehouse
Enterpriseim.com
What is Business Intelligence?
Business Intelligence – a class of tools, technologies and techniques
used to analyze, process and present data.
Relative Maturity of Analytics
BLOG: www.johnvuu.com
BUSINESS : www.enterpriseim.com
LINKEDIN : www.linkedin.com/in/johnvuu
BLOG : www.johnvuu.com
MOBILE: +84 090.264.0230
Thank You!

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Data Warehouse - a Fit-For-Purpose Approach

  • 1. John Bao Vuu Director of Data Management www.enterpriseim.com www.linkedin.com/in/johnvuu Data Warehousing A Fit-for-Purpose Approach
  • 2. Director of DM Consultant | Advisor John Vuu SPECIALTIES ✓ EIM Strategy & Solutions ✓ Data Governance / DQ ✓ Business Analytics ✓ Data Warehouse INDUSTRIES ✓ Banking ✓ Insurance ✓ Ecommerce ✓ Healthcare • 18 years experience in Data Management • Founder of 2 technology companies • Former Accenture BI Consultant • DM Director at EIM Partners • BA degree in Finance – Western WWU, Washington, USA • BS degree Information Systems – WWU, Washington, USA About the Speaker
  • 3. Presentation Outline • Introduction • Enterprise Decision Support Architecture • Benefits of Data Warehouse • Data Warehouse Implementation - “Fit-for-Purpose” Principles • Strategic Business Alignment with Data Warehouse • The Continuum of Data Warehouse
  • 4. Presentation Objectives 1. What is a Decision Support System / Architecture? 2. What is a Data Warehouse? 3. Why develop a Data Warehouse? 4. What are the challenges of developing a Data Warehouse? 5. How to develop a Data Warehouse more effectively 6. Strategic business alignment with Data Warehouse
  • 7. What is Decision Support? Decision Support system (DSS) is an information system used to support decision-making in an organization. A DSS lets users sift through and analyze massive amounts of data and compile information that can be used to solve problems and make better decisions.
  • 8. What is Data Warehouse? What are the Features of a Data Warehouse? ✓ Subject Oriented ✓ Integrated ✓ Time Variant ✓ Non-volatile Data Warehouse – A consolidated database…for operational and strategic decision support
  • 9. Data Warehouse Architecture Source Systems Data Integration Foundation Summary BI Delivery Data Standardization Data Cleansing Metadata Generation Metadata Repository Atomic / Conformed Dimensions Aggregate Application Support Design, Development ETL Acquisition Reporting, Analytics DATA WAREHOUSE BUSINESS INTELLIGENCE DATA WAREHOUSE BUSINESS INTELLIGENCE
  • 11. 3 Key Benefits of Data Warehouse Better Decision Making – Business insight. Fact-based Enterprise View – Comprehensive view of business Easy Access – Single point of access and reconciliation “Organizations should have a long-term strategy on Data Warehouse, but expect short term value”
  • 12. 3 Technical Challenges of Data Warehouse Ensuring “acceptable” data quality Integrating business and data rules Enforcing enterprise data standards Poor data quality costs as much as 25% of an organization’s revenue each year. TDWI – The Data Warehouse Institute
  • 14. 3 Key Principles of “Fit-for-Purpose” Data Warehousing Business-driven – Only immediate business needs. No more – no less Flexible – Rapid release and feedback loop. Adjusts to business priorities Fast Incremental Delivery – Shorter delivery cycles. Immediate business impact Fit-for-Purpose is about putting business needs first by aligning technical solutions to the business growth strategy, thereby, reducing organizational risks and increasing business performance.
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  • 16. Complex Project – Complex, time-consuming and often expensive Prolonged Effort – Data-driven (Waterfall) less flexible. Longer to deploy High Risk – 50% of traditional Data Warehouse project fail Why “Fit-for-Purpose” Data Warehousing? RISK
  • 17. Strategic Business Alignment with Data Warehouse Enterpriseim.com
  • 18. Business Alignment with Data Warehouse Maturity of Organization Strategic Fit / Core competency Resource availability and ability RISK
  • 19. The Continuum of Data Warehouse Enterpriseim.com
  • 20. What is Business Intelligence? Business Intelligence – a class of tools, technologies and techniques used to analyze, process and present data.
  • 21. Relative Maturity of Analytics BLOG: www.johnvuu.com
  • 22. BUSINESS : www.enterpriseim.com LINKEDIN : www.linkedin.com/in/johnvuu BLOG : www.johnvuu.com MOBILE: +84 090.264.0230 Thank You!