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Mitch Javidi, Ph.D.

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Results and findings of an industry wide survey, along with synopsis of ... complex, creating the need for a way to deal with it in an organized fashion ... – PowerPoint PPT presentation

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Title: Mitch Javidi, Ph.D.


1
Automotive Data Vision Update MIS 2006 FALL
CONFERENCE
Mitch Javidi, Ph.D. CEO President
2
Todays Agenda
  • Part 1 This Morning
  • Aftermarket Data Vision Update
  • QA/Discussion
  • Part 2 This Afternoon
  • MIS 2006 Participants Survey Results
  • Focus Discussions
  • QA/Discussion

3
Aftermarket Data Vision Update
Research Summary
4
Background
  • In 2005, Aftermarket Data Vision (ADV)
    commissioned The Catevo Group (previously Digiton
    Corporation) to
  • Undertake a feasibility study to determine the
    standards and requirements for creating an
    industry product data repository and distribution
    system.

5
Report Purpose
  • Results and findings of an industry wide survey,
    along with synopsis of interviews, and focus
    group sessions with key industry stake holders to
    assess the needs and feasibility for this
    initiative.
  • An overview of similar endeavors and adopted
    solutions by organization in other industries.
  • A proposed set of strategies with financial
    benchmarks to serve as a possible guideline for
    ADV post this study.

6
Top 3 Findings
  • The aftermarket industry needs conduit for
    dissemination of timely, standardized, complete,
    accurate, synchronized data that is easy to use.
  • There is no shared vision for a solution within
    the aftermarket industry.
  • The data standardization issues must be resolved
    first before adopting any technologies.

7
Highlights Vision
When defining a vision for data in the
aftermarket industry, the key shaping factor was
thought to be a need for timely, standardized,
complete, accurate, synchronized data that is
easy to use
8
Highlights Needs
While the group determined a variety of needs
that would justify a unified data solution,
affordability and the need to be able to make
informed decisions were the most highly ranked
key elements
9
Highlights Key Issues
Top Three Industry Issues Cited Slow/Anemic
Sales Competitive Pressures Gross margin
compression Parts Proliferation requires
higher business investment/working capital
10
Highlights Key Trends
  • Supply Chain inefficiencies
  • The effects of globalization
  • Consolidation within the industry
  • Raw material cost increases
  • Transportation costs
  • Margin erosion
  • Competitive pressures
  • Imports and overseas sourcing

11
Highlights Online Research Sample
Conclusion Responses are more likely to be from
a manufacturers perspective
12
Highlights Data Management Complexity
Conclusion In recent years, data has become more
complex, creating the need for a way to deal with
it in an organized fashion
13
Highlights Other Observations
  • There is still some skepticism about the charter
    and purpose of this
  • Initiative. Some of this is rooted in
    history, while a great deal of this is based on
    lack of information and pre-conceived notions
    about the intent of this endeavor. There were
    still segments within our sample that distinctly
    exhibited lack of clarity on the purpose and
    benefits of this initiative.
  • From our vantage point, it would be important to
    this initiatives success that we
  • address these concerns through education,
    transparency, objectivity and open
  • communications.
  • Several comments and suggestions were shared as
    it related to the selection of an objective, cost
    effective and competent technical team for this
    project. It will be important that a partnership
    is developed with a technical entity that also
    has a financial stake in the success of the
    initiative.

14
Barriers Lessons Learned (Other Industries)
  • Barriers
  • The availability of funding and capital for
    successful technology implementation
  • It is a major cultural change for
    organizations to be comfortable with electronic
    sharing
  • of data and by trusting their partners with
    access to their systems.
  • There was also a perception that
    standardization meant loss of local autonomy for
  • providers.
  • Lessons Learned
  • Build a collaborative culture. By definition
    data standards development and adoption
  • require collaboration. A standard has no
    value unless there is broad commitment
  • among stakeholders to use it.
  • Be informed leaders. Establishing standards
    requires leaders from all sectors of the
  • industry to understand the benefits of
    standards and can promote a common vision
  • for their use.
  • Use incentives to drive adoption.
  • Acquire adequate capital financing.
  • Cultivate staff skills and knowledge.

15
Recommendations
  • The leadership of the three sponsoring
    associations should first align their views on a
    go forward strategy after the conclusion of
    this study vis-à-vis development of this
    solution.
  • If the consensus is to proceed with the
    initiative
  • Form a project steering committee (5 10
    individuals) comprising of industry leaders to
    guide and oversee
  • The scope of the initiative based on business
    objectives
  • Raise required funds and capital for the project
    (It is highly recommended that the budget
    estimates provided in this study be used as a
    guideline)
  • The selection of consultant/s and vendor/s for
    the project
  • Approval of the project plan
  • The progress and timely completion of major
    milestones
  • The appropriations and approval of funds based on
    completion of deliverables
  • Industry communication and training strategies
  • Frequent Communication and Transparency during
    the development phase

16
Recommendations (Continued)
  • The vendor selection process should be
    transparent and be based on merit and fiscal
    considerations
  • Compensation should be based on timely
    completion of deliverables and major
    milestones
  • The solution should be
  • Based on Open Platform standards
  • Built with provisions to interface with major
    legacy systems currently deployed within
  • the aftermarket
  • Scalable and Modular in Design
  • Should not be dependent on one specific vendor
    for support and maintenance
  • Should be designed with specific business
    objectives and goals
  • User Friendly and Easy to Use
  • Secure and Reliable
  • Designed with incremental implementation and
    modular rollout provisions
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