SlideShare a Scribd company logo
1 of 27
Download to read offline
>
Hub
H b
Solution
Designs
D i


Best Practices in MDM
and Data Governance


May 21, 2010

Dan Power,
Hub Solution Designs Inc
             Designs, Inc.

Copyright © 2010 by Hub Solution Designs, Inc.
> MDM = Change (and Change is Difficult)
Hub
Solution
Designs



    “Never d bt th t a small group
    “N        doubt that        ll
    of thoughtful, committed people
    can change th world. I d d
            h      the     ld Indeed,
    it is the only thing that ever
    has.”
    h ”
    Margaret Mead
       g

    But, as M. Scott Peck’s book “The Road
    Less T
    L     Traveled” b i
               l d” begins, “Lif i diffi l ”
                            “Life is difficult.”

    For many companies, it's not “if” they'll implement
            y     p                      y      p
    MDM, it's “when”. But how (and why) you do it is critical
                                                           Page 2
> What Is Master Data Management?
Hub
Solution
Designs


    My d fi iti
    M definition
    • MDM is a set of disciplines,
      processes and technologies
    • for ensuring the accuracy,
      completeness,
      completeness timeliness and
      consistency
    • of multiple domains of enterprise
      data - across applications,         To succeed with
      systems and databases, and
                                          MDM,
                                          MDM start with
    • across multiple business
      processes, functional areas,
                                          data governance
      organizations, geographies and
            i ti             hi    d
      channels
                                                        Page 3
> MDM 101 – Five Essential Elements
Hub
Solution
Designs


    1. The
    1 Th MDM H b it lf
             Hub itself
           There are three major types:
           Registry Hub (stores only the identity
           information and foreign keys required for
           matching in the hub)
           Persistent or Transactional Hub (stores
           all of the critical data from each source
           system into the central hub)
           Coexistence or Hybrid Hub (uses a mix of
           both styles)

     Now it s common for vendors to have several different hubs
          it’s
     due to recent market consolidation (Oracle, IBM, Informatica)
                                                                     Page 4
> MDM 101 – Five Essential Elements
Hub
Solution
Designs


    2. Data integration or middleware
    2 D t i t        ti        iddl
       Important to be able to synchronize
       data into and out of the hub
       Doesn’t have to be real-time but
       “near real-time” is becoming more
       common
       Whole point is to build a “Single
       Source of Truth” for a given domain
                  Truth
       or domains

     Having out-of-date information in your hub – or not
     synchronizing data quality improvements back to your
     source systems – can defeat the whole purpose of your
     MDM program
                                                             Page 5
> MDM 101 – Five Essential Elements
Hub
Solution
Designs


    3. Data Quality
    3 D t Q lit
       Most companies quickly realize that
       they re
       they’re starting off with a much
       lower level of data quality than
       they expected
       So a robust data quality tool can be
       vital in standardizing and correcting
       data,
       data plus filling in some missing
       information

     A good data quality tool can make the difference between a
            dd t       lit t l        k th diff          b t
     failed project and a successful project
     Profile your data early and profile often! Include regular
     profiling in your governance program …
                                                                  Page 6
> MDM 101 – Five Essential Elements
Hub
Solution
Designs


    4 E t     lC t t
    4. External Content
           Having worked for D&B, I
           constantly saw the value
           of providing information
           you don’t already have
           It could be something as
           straightforward as SIC
           codes, or as complex as
           corporate family trees and
           credit ratings


     When you “don’t know what you don t know”, working with
                 don t                don’t know
     an external content provider can be a big help
                                                           Page 7
> MDM 101 – Five Essential Elements
Hub
Solution
Designs


    5.
    5 Data Go ernance
              Governance
       This is actually the most important
       Without the people & p
                    p p       processes
       around your hub, the technology will
       (at best) be “a solution in search of a
       problem
       problem”
       The business won’t accept the
       solution unless they’re driving it, and
       resolving diffi lt questions of
            l i difficult      ti     f
       ownership is going to take some type
       of cross-functional group, with an
       executive sponsor, business data
       stewards, IT support, etc.
     Bringing together all of these elements is hard enough – don’t
     try to do it without a data governance organization
                                                                  Page 8
> So Why Are Companies Doing MDM?
Hub
Solution
Designs


    • T solve specific b i
      To l        ifi business
      problems
    • Compelling external events like
      Basel II or HIPAA
    • Overall competitive advantage
                 p               g
      globally
    • Three classic “drivers”
      – Increase revenues
      – Reduce costs
      – Improve compliance and
        decision making
     For a lot of companies, it’s not “if” they’ll do MDM and data
     governance, it’s “when” & “how” & “in what order”               Page 9
> Some Best Practices
Hub
Solution
Designs



    “90% of the
    game is half
    mental.”
    Yogi Berra


     So what works and what doesn’t work in
     the real world?
                                          Page 10
> MDM Best Practice #1
Hub
Solution
Designs


    • St t with th need, pain or
      Start ith the    d    i
      problem (not “the solution”)
       – The “build it and they will come”
              build                  come
         approach really doesn’t work for
         MDM
       – Make sure MDM solves some
         key business problems
       – How to get funding: find the pain
         points, and quantify the benefits
         (and cost) of fixing them



     In particular, look at the data-related components of other in-flight
        p         ,                             p                      g
     projects, then see how a centralized data hub can save money
                                                                        Page 11
> MDM Best Practice #2
Hub
Solution
Designs


    • A ti
      Active, i
              involved executive
                  l d       ti
      sponsorship
       – This is true for many projects, but
                               projects
         especially so for MDM
       – To champion a change (towards
         managing master data as a true
         corporate asset) is going to
         mean significant cultural
         disruption
       – In most companies, that type of
                     p      ,     yp
         change is best driven “top down”

     Don t
     Don’t try to start until this is in place – when the rubber meets
     the road, you’ll need the “corner office” in your corner
                                                                     Page 12
> MDM Best Practice #3
Hub
Solution
Designs


    • E h i the organizational
      Emphasize th     i ti    l
      change management aspect
       – Critical to the success of large
         transformation projects like MDM
       – Outside perspective can be very
         helpful here
       – Your company’s culture is
                                                 Courtesy: Michael Heiss
         probably not conducive to data
         quality or proactive master data
         management (or you wouldn’t
         need them)
     MDM projects can be very political, so figure out how to do
     organizational change management early, have a communications
     strategy and then communicate, communicate, communicate!
                                                                           Page 13
> MDM Best Practice #4
Hub
Solution
Designs


    • Th business h t own MDM
      The b i      has to
      and data governance
       – As tempting as it is to start & finish
          s te pt g      t s sta t           s
         with the technology, it doesn’t work
       – When MDM is driven by IT, the
         business may not understand or buy
         in (or even realize it’s there)
       – It’s hard, but start by building interest
         and demand (recruiting) in the
         business
       – Otherwise, the business won’t be
         committed and getting f di will b
               itt d d tti funding ill be
         tough
     MDM’s nature (an ongoing program, not a “once & done” project)
     means that even if the initial project is funded, the business may
     not pick it up in Year 2 & beyond – unless the business owns it
                                                                     Page 14
> MDM Best Practice #5
Hub
Solution
Designs


    • P t your b t project manager(s)
      Put      best    j t        ( )
      and people on this
       – Make sure you can’t be derailed by
                        can t
         opponents pointing to avoidable
         project management or organizational
         issues
       – Focus on controlling scope, getting the
         requirements right, managing risks,
         and communicating effectively & often
       – You cannot afford to have this type of
         project fail …


     Focus on delivering value, on time and on budget, and you ll
                                                           you’ll
     silence the critics and deliver the expected ROI
                                                                    Page 15
> MDM Best Practice #6
Hub
Solution
Designs


    • U a h li ti approach –
      Use holistic          h                              MDM Vision
      people, process, technology
                                                          MDM Strategy
      and information
                                                           MDM Metrics
       – This may be the most important
         best practice of all                    MDM                         MDM
                                              Governance                  Organization
       – Start with the people, politics &
         culture, then move on to the data               MDM Processes

         governance and stewardship
                                                 MDM T h l
                                                     Technology Infrastructure
                                                                I f   t   t
         processes, then the technology
                                             A Business-Driven, Holistic Approach to MDM
                                                           Courtesy: Gartner


     You’ll succeed if you recruit the right executives as sponsors;
     invest the time to create a data governance team; design your
     governance processes and then communicate how the MDM
                   processes,
     initiative helped the company achieve its strategic objectives
                                                                                         Page 16
> MDM Best Practice #7
Hub
Solution
Designs


    • Thi k of MDM as a l
      Think f           long
      term program, not a short
      term project
           p j
       – Define your “to be” state and
         break the project up into a
         se es o d sc ete, a ageab e
         series of discrete, manageable
         phases
       – An architectural assessment
         and a well defined strategy are
         good early deliverables
       – Spend some quality time
         planning the initiative – the time
         you invest will be repaid many
         times over!
     Plan for
     Pl f an MDM “    “way of lif ” not a project th t “goes live”
                            f life”,  t      j t that “      li ”
     and then is over …
                                                                     Page 17
> MDM Best Practice #8
Hub
Solution
Designs


    • C
      Create a d t governance
          t    data
      organization and processes
       – If there s no dedicated data
            there’s
         governance function, then no
         one lives & dies with the
         accuracy, completeness,
         accuracy completeness
         timeliness and consistency of
         the critical information the
         business uses
         b i
       – Before you start, convince
         management of the need for a
                g
         small data governance team

     There’s not much point in doing master data management if
                       p            g                g
     you’re not going to govern the data …
                                                                 Page 18
> MDM Best Practice #9
Hub
Solution
Designs


    • R i t the urge to customize
      Resist th      t     t  i
       – As the hubs mature, it's easier to
         resist the temptation to
                       p
         customize
       – Sometimes pushing the vendor
         to improve future releases is a
         better strategy than
         customization
       – When you do customize, do it
         carefully; make sure your
         changes are “upgrade-friendly”
                       upgrade friendly
         and documented
     Vendors are still revving their products once or twice a year,
                             g       p                        y
     so you don’t want to get “rev locked” on an older version
                                                                      Page 19
> MDM Best Practice #10
Hub
Solution
Designs


    • D ’t underestimate the complexity
      Don’t  d    ti t th        l it
       – Einstein said “Everything should be made
         as simple as p
               p       possible, but not simpler.”
                                            p
       – Not uncommon to have 20-30 source
         systems (or more) that have to be
         integrated with the hub
       – Tackling other things at the same time (like
         SOA or major upgrades) – MDM can help
         with those but it may increase degree of
         difficulty
       – If you underestimate, you’ll be under
         pressure to cut f
                         functionality

    MDM and data governance can be disruptive to the business unless
    the business is driving the effort and it’s been well-planned
                                                                 Page 20
> Advanced Topic #1
Hub
Solution
Designs


    • Diff
      Differences b t
                  between customer MDM
                             t
      and product MDM
       – Product data is usually more complex, less
         structured and with more attributes
       – Product data quality more challenging
         (Oracle
         (O l acquired Silver C k S t
                        i d Sil     Creek Systems, a
         leading Product Data Quality solution)
       – Product data volumes tend to be higher,g ,
         while initial data quality levels tend to be
         lower
       – Product data usually has more difficult
         categorization and hierarchy management

     It s
     It’s possible to make the leap from customer MDM to product
     MDM, but keep in mind the differences between the two
                                                               Page 21
> Advanced Topic #2
Hub
Solution
Designs


    • Proacti e vs. reacti e data
      Proactive s reactive
      governance
       – Reactive uses CRM and ERP
         applications as “systems of entry”
       – Proactive uses the MDM hub itself as
         “system of entry”, then synchronizes
         new records or updates to CRM and
         ERP systems
           • Initial data quality levels much
             higher this way
           • More “real time” – eliminates time
             lags
               g
           • Reduces perception of “data
             governance as bureaucracy”
     It’s ti
     It’ 5 times cheaper to enter the data right in the first place than to
                     h      t   t th d t i ht i th fi t l           th t
     fix it later, and a good MDM hub can enforce data quality up front
                                                                         Page 22
> Advanced Topic #3
Hub
Solution
Designs


    • F t i b tt !
      Faster is better!
       – Time to value, time to value, time to
         value; like the saying ‘location,
               ;            y g           ,
         location, location’ in the real estate
         business
       – The cost savings in 6 12 months can
                               6-12
         pay for a targeted project, vs. waiting
         2 years or more to get value from the
         “ultimate” project
         “         ”
       – Can really hurt your ROI by increasing
         costs & postponing benefits
     Ask the business what it really wants – the elegant solution
     with the latest ‘whiz bang’ technology, or to get their master
                              g          gy,       g
     data pain points resolved and to start getting value from MDM
     & data governance                                              Page 23
> Advanced Topic #4
Hub
Solution
Designs


    • Don’t forget to do a b siness case!
                           business
       – You’ll need a business case to understand
         the benefits, predict the direct and indirect
         costs and sell the program internally
       – Look for the big wins first; 80% of your
         benefits will probably come from 20% of
         your results
       – Don’t try to ‘tin cup’ your way into MDM –
         tackle the ‘800 pound g
                           p      gorillas’ in the room
       – Don’t file the business case away after
                                                          ROI
         getting funding – use it as a tool to see how
         you re
         you’re doing relative to expectations, and to
                                  expectations
         manage throughout the life cycle
       – Use marketing & communications skill set

    Gartner research indicates that doing a business case for a
    project raises its odds for success to over 75%               Page 24
> MDM is a Long Term Journey …
Hub
Solution
Designs


    “Nothing in this
    “N thi i thi world can t k the
                          ld    take th
    place of persistence. Talent will not;
    nothing is more common than
    unsuccessful people with talent.
    Genius will not; unrewarded genius is
    almost a proverb. Education will not;
    the world is full of educated derelicts.
    Persistence and d t
    P i t            d determination alone
                              i ti     l
    are omnipotent.”
    Calvin Coolidge 30th U S President
           Coolidge,         U.S.
     If you’re persistent, you can help your company manage
     master data as an enterprise-wide asset – and transform itself
                        enterprise wide
     in the process ...
                                                                  Page 25
>
Hub
Solution
Designs




           Questions?

                        Page 26
> Contact Info.
Hub
Solution
Designs


    Hub Solution Designs Inc
    H b Sol tion Designs, Inc.
    188 Whiting Street, Suite 3
    Hingham, MA 02043-3844

    office: (781) 749-8910
    web:     www.hubdesigns.com

    Dan Power, powerd@hubdesigns.com,
    twitter.com/dan_power
                   _p

    Subscribe to our newsletter:
    www.hubdesigns.com/newsletter.html
                 g

    Today’s slides will be posted at:
    http://blog.hubdesigns.com

                                         Page 27

More Related Content

What's hot

Adopting a Process-Driven Approach to Master Data Management
Adopting a Process-Driven Approach to Master Data ManagementAdopting a Process-Driven Approach to Master Data Management
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
 
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model DATUM LLC
 
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesData Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesSlideTeam
 
DAS Slides: Data Governance - Combining Data Management with Organizational ...
DAS Slides: Data Governance -  Combining Data Management with Organizational ...DAS Slides: Data Governance -  Combining Data Management with Organizational ...
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
 
Selecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachSelecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachChristopher Bradley
 
Gartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner
 
Data Architecture for Data Governance
Data Architecture for Data GovernanceData Architecture for Data Governance
Data Architecture for Data GovernanceDATAVERSITY
 
Data Governance
Data GovernanceData Governance
Data GovernanceRob Lux
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceMaster Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
 
Data governance
Data governanceData governance
Data governanceMD Redaan
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance StrategyAnalytics8
 
Data Architecture Best Practices for Advanced Analytics
Data Architecture Best Practices for Advanced AnalyticsData Architecture Best Practices for Advanced Analytics
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
 
Data Modeling is Data Governance
Data Modeling is Data GovernanceData Modeling is Data Governance
Data Modeling is Data GovernanceDATAVERSITY
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management DATAVERSITY
 
Introduction to Data Governance
Introduction to Data GovernanceIntroduction to Data Governance
Introduction to Data GovernanceJohn Bao Vuu
 

What's hot (20)

Adopting a Process-Driven Approach to Master Data Management
Adopting a Process-Driven Approach to Master Data ManagementAdopting a Process-Driven Approach to Master Data Management
Adopting a Process-Driven Approach to Master Data Management
 
How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model How to Build & Sustain a Data Governance Operating Model
How to Build & Sustain a Data Governance Operating Model
 
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesData Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
 
Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management Ebook - The Guide to Master Data Management
Ebook - The Guide to Master Data Management
 
DAS Slides: Data Governance - Combining Data Management with Organizational ...
DAS Slides: Data Governance -  Combining Data Management with Organizational ...DAS Slides: Data Governance -  Combining Data Management with Organizational ...
DAS Slides: Data Governance - Combining Data Management with Organizational ...
 
Data modelling 101
Data modelling 101Data modelling 101
Data modelling 101
 
Selecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approachSelecting Data Management Tools - A practical approach
Selecting Data Management Tools - A practical approach
 
Gartner: Master Data Management Functionality
Gartner: Master Data Management FunctionalityGartner: Master Data Management Functionality
Gartner: Master Data Management Functionality
 
Data Architecture for Data Governance
Data Architecture for Data GovernanceData Architecture for Data Governance
Data Architecture for Data Governance
 
Data Governance
Data GovernanceData Governance
Data Governance
 
DMBOK and Data Governance
DMBOK and Data GovernanceDMBOK and Data Governance
DMBOK and Data Governance
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Master Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and GovernanceMaster Data Management – Aligning Data, Process, and Governance
Master Data Management – Aligning Data, Process, and Governance
 
Data governance
Data governanceData governance
Data governance
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance Strategy
 
Data Architecture Best Practices for Advanced Analytics
Data Architecture Best Practices for Advanced AnalyticsData Architecture Best Practices for Advanced Analytics
Data Architecture Best Practices for Advanced Analytics
 
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...
 
Data Modeling is Data Governance
Data Modeling is Data GovernanceData Modeling is Data Governance
Data Modeling is Data Governance
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
 
Introduction to Data Governance
Introduction to Data GovernanceIntroduction to Data Governance
Introduction to Data Governance
 

Similar to Best Practices in MDM with Dan Power

MDM 101, Palladium's "Decisions, Information & Governance 2008"
MDM 101, Palladium's "Decisions, Information & Governance 2008"MDM 101, Palladium's "Decisions, Information & Governance 2008"
MDM 101, Palladium's "Decisions, Information & Governance 2008"Hub Solution Designs, Inc.
 
Whitepaper Multidomain Mdm
Whitepaper Multidomain MdmWhitepaper Multidomain Mdm
Whitepaper Multidomain Mdmkeesgelderblom
 
Preparing For a Master Data Management Implemenation
Preparing For a Master Data Management ImplemenationPreparing For a Master Data Management Implemenation
Preparing For a Master Data Management ImplemenationInnovative_Systems
 
3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final PresentationJames Chi
 
Using Master Data in Business Intelligence
Using Master Data in Business IntelligenceUsing Master Data in Business Intelligence
Using Master Data in Business IntelligenceFindWhitePapers
 
Making Information Management The Foundation Of The Future (Master Data Manag...
Making Information Management The Foundation Of The Future (Master Data Manag...Making Information Management The Foundation Of The Future (Master Data Manag...
Making Information Management The Foundation Of The Future (Master Data Manag...William McKnight
 
Key Steps to Kick Start Your Master Data Management Strategy in 2020
Key Steps to Kick Start Your Master Data Management Strategy in 2020Key Steps to Kick Start Your Master Data Management Strategy in 2020
Key Steps to Kick Start Your Master Data Management Strategy in 2020Rahul Singh
 
Effective master data management
Effective master data managementEffective master data management
Effective master data managementIsmail Vurel
 
The Trusted Path That Driven Big Data to Success
The Trusted Path That Driven Big Data to SuccessThe Trusted Path That Driven Big Data to Success
The Trusted Path That Driven Big Data to Successankitbhandari32
 
Why Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataWhy Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataSam Thomsett
 
12 mdm strategy
12 mdm strategy12 mdm strategy
12 mdm strategyPiLog
 
Building a strong Data Management capability with TOGAF and ArchiMate
Building a strong Data Management capability with TOGAF and ArchiMateBuilding a strong Data Management capability with TOGAF and ArchiMate
Building a strong Data Management capability with TOGAF and ArchiMateBas van Gils
 
Synergizing Master Data Management and Big Data
Synergizing Master Data Management and Big DataSynergizing Master Data Management and Big Data
Synergizing Master Data Management and Big DataCognizant
 
Semantech Inc. - Mastering Enterprise Big Data - Intro
Semantech Inc. - Mastering Enterprise Big Data - IntroSemantech Inc. - Mastering Enterprise Big Data - Intro
Semantech Inc. - Mastering Enterprise Big Data - IntroStephen Lahanas
 
Enterprise-Level Preparation for Master Data Management.pdf
Enterprise-Level Preparation for Master Data Management.pdfEnterprise-Level Preparation for Master Data Management.pdf
Enterprise-Level Preparation for Master Data Management.pdfAmeliaWong21
 

Similar to Best Practices in MDM with Dan Power (20)

MDM 101, Palladium's "Decisions, Information & Governance 2008"
MDM 101, Palladium's "Decisions, Information & Governance 2008"MDM 101, Palladium's "Decisions, Information & Governance 2008"
MDM 101, Palladium's "Decisions, Information & Governance 2008"
 
Best Practices in MDM, Oracle OpenWorld 2009
Best Practices in MDM, Oracle OpenWorld 2009Best Practices in MDM, Oracle OpenWorld 2009
Best Practices in MDM, Oracle OpenWorld 2009
 
Best Practices in MDM, OAUG COLLABORATE 09
Best Practices in MDM, OAUG COLLABORATE 09Best Practices in MDM, OAUG COLLABORATE 09
Best Practices in MDM, OAUG COLLABORATE 09
 
Best Practices in MDM, OAUG COLLABORATE 08
Best Practices in MDM, OAUG COLLABORATE 08Best Practices in MDM, OAUG COLLABORATE 08
Best Practices in MDM, OAUG COLLABORATE 08
 
Whitepaper Multidomain Mdm
Whitepaper Multidomain MdmWhitepaper Multidomain Mdm
Whitepaper Multidomain Mdm
 
Preparing For a Master Data Management Implemenation
Preparing For a Master Data Management ImplemenationPreparing For a Master Data Management Implemenation
Preparing For a Master Data Management Implemenation
 
3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation3 Keys To Successful Master Data Management - Final Presentation
3 Keys To Successful Master Data Management - Final Presentation
 
Using Master Data in Business Intelligence
Using Master Data in Business IntelligenceUsing Master Data in Business Intelligence
Using Master Data in Business Intelligence
 
Making Information Management The Foundation Of The Future (Master Data Manag...
Making Information Management The Foundation Of The Future (Master Data Manag...Making Information Management The Foundation Of The Future (Master Data Manag...
Making Information Management The Foundation Of The Future (Master Data Manag...
 
Key Steps to Kick Start Your Master Data Management Strategy in 2020
Key Steps to Kick Start Your Master Data Management Strategy in 2020Key Steps to Kick Start Your Master Data Management Strategy in 2020
Key Steps to Kick Start Your Master Data Management Strategy in 2020
 
Effective master data management
Effective master data managementEffective master data management
Effective master data management
 
The Trusted Path That Driven Big Data to Success
The Trusted Path That Driven Big Data to SuccessThe Trusted Path That Driven Big Data to Success
The Trusted Path That Driven Big Data to Success
 
Why Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataWhy Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big Data
 
12 mdm strategy
12 mdm strategy12 mdm strategy
12 mdm strategy
 
Building a strong Data Management capability with TOGAF and ArchiMate
Building a strong Data Management capability with TOGAF and ArchiMateBuilding a strong Data Management capability with TOGAF and ArchiMate
Building a strong Data Management capability with TOGAF and ArchiMate
 
Synergizing Master Data Management and Big Data
Synergizing Master Data Management and Big DataSynergizing Master Data Management and Big Data
Synergizing Master Data Management and Big Data
 
Mobile Analytics
Mobile AnalyticsMobile Analytics
Mobile Analytics
 
Mdm strategy
Mdm strategyMdm strategy
Mdm strategy
 
Semantech Inc. - Mastering Enterprise Big Data - Intro
Semantech Inc. - Mastering Enterprise Big Data - IntroSemantech Inc. - Mastering Enterprise Big Data - Intro
Semantech Inc. - Mastering Enterprise Big Data - Intro
 
Enterprise-Level Preparation for Master Data Management.pdf
Enterprise-Level Preparation for Master Data Management.pdfEnterprise-Level Preparation for Master Data Management.pdf
Enterprise-Level Preparation for Master Data Management.pdf
 

Recently uploaded

SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 

Recently uploaded (20)

SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 

Best Practices in MDM with Dan Power

  • 1. > Hub H b Solution Designs D i Best Practices in MDM and Data Governance May 21, 2010 Dan Power, Hub Solution Designs Inc Designs, Inc. Copyright © 2010 by Hub Solution Designs, Inc.
  • 2. > MDM = Change (and Change is Difficult) Hub Solution Designs “Never d bt th t a small group “N doubt that ll of thoughtful, committed people can change th world. I d d h the ld Indeed, it is the only thing that ever has.” h ” Margaret Mead g But, as M. Scott Peck’s book “The Road Less T L Traveled” b i l d” begins, “Lif i diffi l ” “Life is difficult.” For many companies, it's not “if” they'll implement y p y p MDM, it's “when”. But how (and why) you do it is critical Page 2
  • 3. > What Is Master Data Management? Hub Solution Designs My d fi iti M definition • MDM is a set of disciplines, processes and technologies • for ensuring the accuracy, completeness, completeness timeliness and consistency • of multiple domains of enterprise data - across applications, To succeed with systems and databases, and MDM, MDM start with • across multiple business processes, functional areas, data governance organizations, geographies and i ti hi d channels Page 3
  • 4. > MDM 101 – Five Essential Elements Hub Solution Designs 1. The 1 Th MDM H b it lf Hub itself There are three major types: Registry Hub (stores only the identity information and foreign keys required for matching in the hub) Persistent or Transactional Hub (stores all of the critical data from each source system into the central hub) Coexistence or Hybrid Hub (uses a mix of both styles) Now it s common for vendors to have several different hubs it’s due to recent market consolidation (Oracle, IBM, Informatica) Page 4
  • 5. > MDM 101 – Five Essential Elements Hub Solution Designs 2. Data integration or middleware 2 D t i t ti iddl Important to be able to synchronize data into and out of the hub Doesn’t have to be real-time but “near real-time” is becoming more common Whole point is to build a “Single Source of Truth” for a given domain Truth or domains Having out-of-date information in your hub – or not synchronizing data quality improvements back to your source systems – can defeat the whole purpose of your MDM program Page 5
  • 6. > MDM 101 – Five Essential Elements Hub Solution Designs 3. Data Quality 3 D t Q lit Most companies quickly realize that they re they’re starting off with a much lower level of data quality than they expected So a robust data quality tool can be vital in standardizing and correcting data, data plus filling in some missing information A good data quality tool can make the difference between a dd t lit t l k th diff b t failed project and a successful project Profile your data early and profile often! Include regular profiling in your governance program … Page 6
  • 7. > MDM 101 – Five Essential Elements Hub Solution Designs 4 E t lC t t 4. External Content Having worked for D&B, I constantly saw the value of providing information you don’t already have It could be something as straightforward as SIC codes, or as complex as corporate family trees and credit ratings When you “don’t know what you don t know”, working with don t don’t know an external content provider can be a big help Page 7
  • 8. > MDM 101 – Five Essential Elements Hub Solution Designs 5. 5 Data Go ernance Governance This is actually the most important Without the people & p p p processes around your hub, the technology will (at best) be “a solution in search of a problem problem” The business won’t accept the solution unless they’re driving it, and resolving diffi lt questions of l i difficult ti f ownership is going to take some type of cross-functional group, with an executive sponsor, business data stewards, IT support, etc. Bringing together all of these elements is hard enough – don’t try to do it without a data governance organization Page 8
  • 9. > So Why Are Companies Doing MDM? Hub Solution Designs • T solve specific b i To l ifi business problems • Compelling external events like Basel II or HIPAA • Overall competitive advantage p g globally • Three classic “drivers” – Increase revenues – Reduce costs – Improve compliance and decision making For a lot of companies, it’s not “if” they’ll do MDM and data governance, it’s “when” & “how” & “in what order” Page 9
  • 10. > Some Best Practices Hub Solution Designs “90% of the game is half mental.” Yogi Berra So what works and what doesn’t work in the real world? Page 10
  • 11. > MDM Best Practice #1 Hub Solution Designs • St t with th need, pain or Start ith the d i problem (not “the solution”) – The “build it and they will come” build come approach really doesn’t work for MDM – Make sure MDM solves some key business problems – How to get funding: find the pain points, and quantify the benefits (and cost) of fixing them In particular, look at the data-related components of other in-flight p , p g projects, then see how a centralized data hub can save money Page 11
  • 12. > MDM Best Practice #2 Hub Solution Designs • A ti Active, i involved executive l d ti sponsorship – This is true for many projects, but projects especially so for MDM – To champion a change (towards managing master data as a true corporate asset) is going to mean significant cultural disruption – In most companies, that type of p , yp change is best driven “top down” Don t Don’t try to start until this is in place – when the rubber meets the road, you’ll need the “corner office” in your corner Page 12
  • 13. > MDM Best Practice #3 Hub Solution Designs • E h i the organizational Emphasize th i ti l change management aspect – Critical to the success of large transformation projects like MDM – Outside perspective can be very helpful here – Your company’s culture is Courtesy: Michael Heiss probably not conducive to data quality or proactive master data management (or you wouldn’t need them) MDM projects can be very political, so figure out how to do organizational change management early, have a communications strategy and then communicate, communicate, communicate! Page 13
  • 14. > MDM Best Practice #4 Hub Solution Designs • Th business h t own MDM The b i has to and data governance – As tempting as it is to start & finish s te pt g t s sta t s with the technology, it doesn’t work – When MDM is driven by IT, the business may not understand or buy in (or even realize it’s there) – It’s hard, but start by building interest and demand (recruiting) in the business – Otherwise, the business won’t be committed and getting f di will b itt d d tti funding ill be tough MDM’s nature (an ongoing program, not a “once & done” project) means that even if the initial project is funded, the business may not pick it up in Year 2 & beyond – unless the business owns it Page 14
  • 15. > MDM Best Practice #5 Hub Solution Designs • P t your b t project manager(s) Put best j t ( ) and people on this – Make sure you can’t be derailed by can t opponents pointing to avoidable project management or organizational issues – Focus on controlling scope, getting the requirements right, managing risks, and communicating effectively & often – You cannot afford to have this type of project fail … Focus on delivering value, on time and on budget, and you ll you’ll silence the critics and deliver the expected ROI Page 15
  • 16. > MDM Best Practice #6 Hub Solution Designs • U a h li ti approach – Use holistic h MDM Vision people, process, technology MDM Strategy and information MDM Metrics – This may be the most important best practice of all MDM MDM Governance Organization – Start with the people, politics & culture, then move on to the data MDM Processes governance and stewardship MDM T h l Technology Infrastructure I f t t processes, then the technology A Business-Driven, Holistic Approach to MDM Courtesy: Gartner You’ll succeed if you recruit the right executives as sponsors; invest the time to create a data governance team; design your governance processes and then communicate how the MDM processes, initiative helped the company achieve its strategic objectives Page 16
  • 17. > MDM Best Practice #7 Hub Solution Designs • Thi k of MDM as a l Think f long term program, not a short term project p j – Define your “to be” state and break the project up into a se es o d sc ete, a ageab e series of discrete, manageable phases – An architectural assessment and a well defined strategy are good early deliverables – Spend some quality time planning the initiative – the time you invest will be repaid many times over! Plan for Pl f an MDM “ “way of lif ” not a project th t “goes live” f life”, t j t that “ li ” and then is over … Page 17
  • 18. > MDM Best Practice #8 Hub Solution Designs • C Create a d t governance t data organization and processes – If there s no dedicated data there’s governance function, then no one lives & dies with the accuracy, completeness, accuracy completeness timeliness and consistency of the critical information the business uses b i – Before you start, convince management of the need for a g small data governance team There’s not much point in doing master data management if p g g you’re not going to govern the data … Page 18
  • 19. > MDM Best Practice #9 Hub Solution Designs • R i t the urge to customize Resist th t t i – As the hubs mature, it's easier to resist the temptation to p customize – Sometimes pushing the vendor to improve future releases is a better strategy than customization – When you do customize, do it carefully; make sure your changes are “upgrade-friendly” upgrade friendly and documented Vendors are still revving their products once or twice a year, g p y so you don’t want to get “rev locked” on an older version Page 19
  • 20. > MDM Best Practice #10 Hub Solution Designs • D ’t underestimate the complexity Don’t d ti t th l it – Einstein said “Everything should be made as simple as p p possible, but not simpler.” p – Not uncommon to have 20-30 source systems (or more) that have to be integrated with the hub – Tackling other things at the same time (like SOA or major upgrades) – MDM can help with those but it may increase degree of difficulty – If you underestimate, you’ll be under pressure to cut f functionality MDM and data governance can be disruptive to the business unless the business is driving the effort and it’s been well-planned Page 20
  • 21. > Advanced Topic #1 Hub Solution Designs • Diff Differences b t between customer MDM t and product MDM – Product data is usually more complex, less structured and with more attributes – Product data quality more challenging (Oracle (O l acquired Silver C k S t i d Sil Creek Systems, a leading Product Data Quality solution) – Product data volumes tend to be higher,g , while initial data quality levels tend to be lower – Product data usually has more difficult categorization and hierarchy management It s It’s possible to make the leap from customer MDM to product MDM, but keep in mind the differences between the two Page 21
  • 22. > Advanced Topic #2 Hub Solution Designs • Proacti e vs. reacti e data Proactive s reactive governance – Reactive uses CRM and ERP applications as “systems of entry” – Proactive uses the MDM hub itself as “system of entry”, then synchronizes new records or updates to CRM and ERP systems • Initial data quality levels much higher this way • More “real time” – eliminates time lags g • Reduces perception of “data governance as bureaucracy” It’s ti It’ 5 times cheaper to enter the data right in the first place than to h t t th d t i ht i th fi t l th t fix it later, and a good MDM hub can enforce data quality up front Page 22
  • 23. > Advanced Topic #3 Hub Solution Designs • F t i b tt ! Faster is better! – Time to value, time to value, time to value; like the saying ‘location, ; y g , location, location’ in the real estate business – The cost savings in 6 12 months can 6-12 pay for a targeted project, vs. waiting 2 years or more to get value from the “ultimate” project “ ” – Can really hurt your ROI by increasing costs & postponing benefits Ask the business what it really wants – the elegant solution with the latest ‘whiz bang’ technology, or to get their master g gy, g data pain points resolved and to start getting value from MDM & data governance Page 23
  • 24. > Advanced Topic #4 Hub Solution Designs • Don’t forget to do a b siness case! business – You’ll need a business case to understand the benefits, predict the direct and indirect costs and sell the program internally – Look for the big wins first; 80% of your benefits will probably come from 20% of your results – Don’t try to ‘tin cup’ your way into MDM – tackle the ‘800 pound g p gorillas’ in the room – Don’t file the business case away after ROI getting funding – use it as a tool to see how you re you’re doing relative to expectations, and to expectations manage throughout the life cycle – Use marketing & communications skill set Gartner research indicates that doing a business case for a project raises its odds for success to over 75% Page 24
  • 25. > MDM is a Long Term Journey … Hub Solution Designs “Nothing in this “N thi i thi world can t k the ld take th place of persistence. Talent will not; nothing is more common than unsuccessful people with talent. Genius will not; unrewarded genius is almost a proverb. Education will not; the world is full of educated derelicts. Persistence and d t P i t d determination alone i ti l are omnipotent.” Calvin Coolidge 30th U S President Coolidge, U.S. If you’re persistent, you can help your company manage master data as an enterprise-wide asset – and transform itself enterprise wide in the process ... Page 25
  • 26. > Hub Solution Designs Questions? Page 26
  • 27. > Contact Info. Hub Solution Designs Hub Solution Designs Inc H b Sol tion Designs, Inc. 188 Whiting Street, Suite 3 Hingham, MA 02043-3844 office: (781) 749-8910 web: www.hubdesigns.com Dan Power, powerd@hubdesigns.com, twitter.com/dan_power _p Subscribe to our newsletter: www.hubdesigns.com/newsletter.html g Today’s slides will be posted at: http://blog.hubdesigns.com Page 27