Staying Relevant in Today's Changing
Data Management Environment
                                                  By Sanjay Shirude
                                                          President
                                              Phone (206) 372-2505
                                    E-mail: Sanjay@ebuzworld.com
                                              www.eBuzWorld.com
           simplifying Business Information Technology Integration
Agenda
  •   Business Environment
  •   Information Technology Trends
  •   Data Management and IT Job Functions
  •   Why Data Modeling?
  •   Staying Relevant
  •   Questions and Answers
Business Environment

   • Acquisition and Mergers
   • SMB Market
   • Government Initiatives
Business Environment

• Acquisitions and Mergers
       • Due to Economic Conditions and Cash Flow Issues, Large Numbers of Businesses are being
         Sold, or Corporations are Merging to Solidify their Business. This Results in:
           – Application System Mergers
           – Data Collaboration Challenges
           – Data and Process Redundancy
           – Data Quality Issues

• SMB Market
       • Focus is to Reduce Over-Head
       • SMB Market is Growing
           – New Data Requirements
           – Faster Growth
           – Dynamic Environment


  PAGE 4
Business Environment

• Government Initiatives
       • Green Solutions
           – More Electronic Storage
           – Faster Information Retrieval
           – Compliance Management
           – Disaster Recovery

• Global Competition
       • Solutions Need to Address World-Wide Accessibility
       • Quality, Delivery Time, Cost and Return On Investment are More Important than Ever Before




  PAGE 5
Information Technology Trends

•   'Cost Centers' to 'Strategic Business Drivers'
•   'Mobile' Computing
•   New Ways of Out-Sourcing
•   'Spend' Control
Information Technology Trends

• 'Cost Centers' to 'Strategic Business Drivers'
  – Data is a Business Asset
  – 'Business Intelligence' Focus
  – Data Governance
  – Data Analytics
  – Data Warehousing
  – Historical Data
• Mobile Computing
  – Hardware Costs are Minimal
  – Faster Data Exchange
  – Higher Demands on Data Retrieval
  – Very Large Data Bases (VLDB)
  PAGE 7
Information Technology Trends

• New Ways of Out-Sourcing
  – 'Service-Oriented' Architecture
  – 'Cloud' Computing
  – Virtualization
       • De-Centralized structure

• 'Spend' Control
  – Cost-Cutting Measures
  – Focus more on 'Managed' Solutions than 'Custom' Solutions
  – Specialty Tasks Out-Sourced
  – Computer Hardware Becoming Less Expensive




  PAGE 8
Data Management and IT Job Functions

• Profound Paradigm Shift
• Challenges As A Result
Data Management and IT Job Functions

• Profound 'Paradigm' Shift
  – High-Level Management Commitment
       • Shifting from 'Cost Centers' to 'Strategic Business Drivers', High-Level Management is More
         Interested in Performing their Own Data Analysis than Looking for Large Number of Data
         Sets
       • Data Forecasting, Various Analysis Requires Higher Data Quality
       • Provide Solutions than Reports
       • Simple Unified Terminology
  – Various Data Initiatives
       • Data Governance
       • Master Data Management
       • Business Intelligence
       • Data Quality
       • Systems Integration
  PAGE 10
Data Management and IT Job Functions

• Challenges
  – Re-structuring
       • Lack of Subject Matter Experts' Knowledge
       • Fewer Staff Members
       • Lack of Documentation
       • System Mergers and Virtualization
  – No Specialized Position
       • Development - Out-Sourced
       • Management Positions Over-Loaded with Additional Analysis Work
       • Need to become Multi-Skilled
       • IT Staff Role must become a Consultant Role to Business Unit(s).
  – Agile versus Waterfall SDLC
       • Faster Development, Less or No Documentation

  PAGE 11
Why Data Modeling?
•What is data modeling for?
•What value does it add?
‘Why Data Modeling?

• Excellent Communication/Collaboration Tool
• Improves Information Quality, not just Data Quality
• Supports Various Data Initiatives
• End-Users' Confidence in Received Information
• Effective Participation in Building Information Systems
• Reduce Duplicate Effort and Content to Increase Productivity,
  Collaboration and Work Quality
  • Use Off-the-Shelf 'ERwin Saphir' tool to Reduce your Development Costs
• Manage Multiple Platforms from a Single, Graphical Interface


  PAGE 13
Staying Relevant
Changing the face will not change anything but facing the
change will do everything
• Eight Point Program
  1.   Meditation - Perform Data Profiling
  2.   Repetition of Mantra - 'Advocate’ Modeling
  3.   Slowing Down - User Education
  4.   One Point Attention - Redefine your Customer Definition
  5.   Training the Senses - Get Certified in the product base skills
  6.   Putting Others First - Wear Multiple Hats
  7.   Reading - Learn more on Source and Target Technology
  8.   Association - Participate in Local Data Associations
Staying Relevant

1. Meditation Perform Data Profiling
  – Excellent tool to cash on your management attention
  – Effective tool to improve your Data Quality
2. Repetition of Mantra – ‘Advocate’ Modeling
  – Learn the Skills to Market the Modeling
  – Create high level Business model
  – Learn more on easily available ERP modeling tools – Direct Cost Saving
  – Show Value of Data Modeling in System Mergers and Integration
3. Slowing Down - Focus on Data Driven Relationships
  – Slowdown to improve users pace in modeling
  – Keep it Simple
  – Use Averages, Mean, Mode, Data Patterns, and % during communication with users
  PAGE 15
Staying Relevant

4. One Point Attention - Redefine your Customer Definition
  – Internal IT Staff
  – External Consultants
  – Business Users
  – Subject Matter Experts
5. Training the Senses - Get Certified in the product base skills
  – Generic Concept Training is not Sufficient
       • It is Necessary to have Complete Conceptual Training;
       • Product-Based Training Gives you the Ability to Convert your understanding of Theory into
         Practice;
       • Share your Modeling Expertise with Non-IT Users in their common Language.




  PAGE 16
Staying Relevant

6. Putting Others First - Wear Multiple Hats
  – Become Consultant
  – Be Ready to play various roles within and out side of IT functions
  – Share your modeling expertise to non-IT users in their language
7. Reading - Learn more on Source and Target Technology
  – Choose the teacher
  – Give your teacher your full loyalty
8. Association - Participate in Local Data Association
  – Learning from associate is more effective than trial and errors
  – Sharing your solution and problem help everyone grow
  – Attend Local ERwin user group meetings
  – Associate with Associations such DAMA, TDWI
  PAGE 17
Question and Answers
                               Contact Information

                                 Dr. Sanjay Shirude, PhD.
                                              President
                                 Phone (206)372-2505
                       E-mail: Sanjay@ebuzworld.com
                                 www.eBuzWorld.com

Staying relevant in todays changing dm environment 09282010

  • 1.
    Staying Relevant inToday's Changing Data Management Environment By Sanjay Shirude President Phone (206) 372-2505 E-mail: Sanjay@ebuzworld.com www.eBuzWorld.com simplifying Business Information Technology Integration
  • 2.
    Agenda • Business Environment • Information Technology Trends • Data Management and IT Job Functions • Why Data Modeling? • Staying Relevant • Questions and Answers
  • 3.
    Business Environment • Acquisition and Mergers • SMB Market • Government Initiatives
  • 4.
    Business Environment • Acquisitionsand Mergers • Due to Economic Conditions and Cash Flow Issues, Large Numbers of Businesses are being Sold, or Corporations are Merging to Solidify their Business. This Results in: – Application System Mergers – Data Collaboration Challenges – Data and Process Redundancy – Data Quality Issues • SMB Market • Focus is to Reduce Over-Head • SMB Market is Growing – New Data Requirements – Faster Growth – Dynamic Environment PAGE 4
  • 5.
    Business Environment • GovernmentInitiatives • Green Solutions – More Electronic Storage – Faster Information Retrieval – Compliance Management – Disaster Recovery • Global Competition • Solutions Need to Address World-Wide Accessibility • Quality, Delivery Time, Cost and Return On Investment are More Important than Ever Before PAGE 5
  • 6.
    Information Technology Trends • 'Cost Centers' to 'Strategic Business Drivers' • 'Mobile' Computing • New Ways of Out-Sourcing • 'Spend' Control
  • 7.
    Information Technology Trends •'Cost Centers' to 'Strategic Business Drivers' – Data is a Business Asset – 'Business Intelligence' Focus – Data Governance – Data Analytics – Data Warehousing – Historical Data • Mobile Computing – Hardware Costs are Minimal – Faster Data Exchange – Higher Demands on Data Retrieval – Very Large Data Bases (VLDB) PAGE 7
  • 8.
    Information Technology Trends •New Ways of Out-Sourcing – 'Service-Oriented' Architecture – 'Cloud' Computing – Virtualization • De-Centralized structure • 'Spend' Control – Cost-Cutting Measures – Focus more on 'Managed' Solutions than 'Custom' Solutions – Specialty Tasks Out-Sourced – Computer Hardware Becoming Less Expensive PAGE 8
  • 9.
    Data Management andIT Job Functions • Profound Paradigm Shift • Challenges As A Result
  • 10.
    Data Management andIT Job Functions • Profound 'Paradigm' Shift – High-Level Management Commitment • Shifting from 'Cost Centers' to 'Strategic Business Drivers', High-Level Management is More Interested in Performing their Own Data Analysis than Looking for Large Number of Data Sets • Data Forecasting, Various Analysis Requires Higher Data Quality • Provide Solutions than Reports • Simple Unified Terminology – Various Data Initiatives • Data Governance • Master Data Management • Business Intelligence • Data Quality • Systems Integration PAGE 10
  • 11.
    Data Management andIT Job Functions • Challenges – Re-structuring • Lack of Subject Matter Experts' Knowledge • Fewer Staff Members • Lack of Documentation • System Mergers and Virtualization – No Specialized Position • Development - Out-Sourced • Management Positions Over-Loaded with Additional Analysis Work • Need to become Multi-Skilled • IT Staff Role must become a Consultant Role to Business Unit(s). – Agile versus Waterfall SDLC • Faster Development, Less or No Documentation PAGE 11
  • 12.
    Why Data Modeling? •Whatis data modeling for? •What value does it add?
  • 13.
    ‘Why Data Modeling? •Excellent Communication/Collaboration Tool • Improves Information Quality, not just Data Quality • Supports Various Data Initiatives • End-Users' Confidence in Received Information • Effective Participation in Building Information Systems • Reduce Duplicate Effort and Content to Increase Productivity, Collaboration and Work Quality • Use Off-the-Shelf 'ERwin Saphir' tool to Reduce your Development Costs • Manage Multiple Platforms from a Single, Graphical Interface PAGE 13
  • 14.
    Staying Relevant Changing theface will not change anything but facing the change will do everything • Eight Point Program 1. Meditation - Perform Data Profiling 2. Repetition of Mantra - 'Advocate’ Modeling 3. Slowing Down - User Education 4. One Point Attention - Redefine your Customer Definition 5. Training the Senses - Get Certified in the product base skills 6. Putting Others First - Wear Multiple Hats 7. Reading - Learn more on Source and Target Technology 8. Association - Participate in Local Data Associations
  • 15.
    Staying Relevant 1. MeditationPerform Data Profiling – Excellent tool to cash on your management attention – Effective tool to improve your Data Quality 2. Repetition of Mantra – ‘Advocate’ Modeling – Learn the Skills to Market the Modeling – Create high level Business model – Learn more on easily available ERP modeling tools – Direct Cost Saving – Show Value of Data Modeling in System Mergers and Integration 3. Slowing Down - Focus on Data Driven Relationships – Slowdown to improve users pace in modeling – Keep it Simple – Use Averages, Mean, Mode, Data Patterns, and % during communication with users PAGE 15
  • 16.
    Staying Relevant 4. OnePoint Attention - Redefine your Customer Definition – Internal IT Staff – External Consultants – Business Users – Subject Matter Experts 5. Training the Senses - Get Certified in the product base skills – Generic Concept Training is not Sufficient • It is Necessary to have Complete Conceptual Training; • Product-Based Training Gives you the Ability to Convert your understanding of Theory into Practice; • Share your Modeling Expertise with Non-IT Users in their common Language. PAGE 16
  • 17.
    Staying Relevant 6. PuttingOthers First - Wear Multiple Hats – Become Consultant – Be Ready to play various roles within and out side of IT functions – Share your modeling expertise to non-IT users in their language 7. Reading - Learn more on Source and Target Technology – Choose the teacher – Give your teacher your full loyalty 8. Association - Participate in Local Data Association – Learning from associate is more effective than trial and errors – Sharing your solution and problem help everyone grow – Attend Local ERwin user group meetings – Associate with Associations such DAMA, TDWI PAGE 17
  • 18.
    Question and Answers Contact Information Dr. Sanjay Shirude, PhD. President Phone (206)372-2505 E-mail: Sanjay@ebuzworld.com www.eBuzWorld.com