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Coaching, mentoring, consulting roles in technical intelligence

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Coaching, mentoring, consulting roles in technical intelligence Suzanne Cristina, Research Analyst Information Network _at_ Hamilton Sundstrand United Technologies ... – PowerPoint PPT presentation

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Title: Coaching, mentoring, consulting roles in technical intelligence


1
Coaching, mentoring, consulting roles in
technical intelligence
  • Suzanne Cristina, Research Analyst
  • Information Network _at_ Hamilton Sundstrand
  • United Technologies Corporation

2
Strategic Shift
  • the real value-added comes with the intervention
    of humans.
  • Prof. Liam Fahey
  • Data - Information - Knowledge - Decisions
  • The Information Professional bridges the gaps.

3
Definition
  • Technology Intelligence (TI) is defined as
    business-sensitive information about external
    scientific or technological developments that can
    affect a companys competitive position.
  • Research Technology Management
  • 9/10 2000 p. 23

4
Definitions
  • Consulting - listening, discussing, recommending
    solutions
  • Coaching - equipping and enabling people to find
    solutions
  • Mentoring - guiding a novice through the process

5
Need for TI Consulting/Coaching/Mentoring
  • Often, no one in these functions (RD, market
    research, etc.) is trained to deal with the
    discovery and analysis of critical issues.
  • Sy Friedman, CHEMTECH, 6/1999
  • We dont have time to think we are busy
    putting out day to day fires. We need you to
    alert us to trendshelp us.
  • WR, Sr Engrg Mgr, UTC

6
2-D/3-D Analogy
  • Group Goal leap frog developments in
    technology
  • Current view of group 2D
  • Need TI coaching/mentoring/consulting to show
    group the possibilities of 3-D - what can be
    done
  • Result Customized tool (patent database - reuse
    potential)
  • Now group reevaluates its current perspective

7
Skills Needed for TI
  • A balance of technical business knowledge
  • Able to identify, evaluate utilize reliable
    information sources
  • Pattern trend recognition
  • Human intelligence gathering
  • Resolve disparate facts/findings (tools)
  • Lateral thinking - to see beyond obvious to
    hidden opportunities

8
Skills continued..
  • Integrate external information with internal
    knowledge
  • promote connection to external sources of
    innovation - as a strategy for stimulating good
    ideas
  • Dr. Mark Rice Radical Innovation
  • UTRC Presentation on innovation

9
Characteristics Needed for Consulting
  • Credibility - established via relationships
  • View organization from outside perspective
  • Risk Taker - willingness to drive to insight and
    affect organization
  • Assertive/persistent in selling ideas - can do
    attitude
  • Communicate visionary potential of new ideas
  • Low ego need, good ideas not carried further

10
Consulting Process - Getting Started
  • Know your organization
  • Evaluate opportunities
  • Develop objectives
  • Identify your champion
  • Identify other champions of TI

11
Opportunities Abound
  • Each step generates data
  • Real value is in analysis and interpretation
  • Present state Desired state
  • Data rich Managed data
  • Intelligence poor Intelligence rich

12
Finding TI Opportunities
  • Gaps in existing TI processes
  • Human intelligence not gathered
  • Under-utilized information repositories
  • Product/process challenges
  • External forces beyond competitors
  • regulations, contracts, technology trends

13
Example - Consulting Process
  • UTC Chief Technology Officer challenge
  • Goal - achieve success at BU - new technology to
    add to top line growth of UTC
  • Consult - present opportunity, establish
    timelines, management
  • Coach - revise timelines, establish CI Board
  • Mentor - person in charge of CI effort

14
Information Audit as a Tool
  • The information audit answers questions about
    organization-wide/department-wide information
    processes. It assists in evaluating current
    information needs, the effectiveness of existing
    information sources and information flows. It
    identifies information management objectives,
    information gaps and inconsistencies.

15
Information Audit Objectives
  • Managing Relationships
  • Identifying Gaps
  • Optimizing information flows
  • Building corporate memory
  • Extending knowledge transfer

16
Example - Engineering Group
  • Advanced Technology Team member
  • -coaching in use of patents to catalyze
    innovations to existing product
  • -mentoring/consulting for technical data to
    support design and development
  • Provided consulting in the development of a CI
    update in key program areas

17
Example - ViA Team
  • ViA - Virtual Access Initiative - web based
    Unigraphics/ IMAN software design/ manufacturing
    initiative at HS
  • Team member
  • Consulted by recommending use of UTC Best
    Practices Database for user groups
  • Shared with all of United Technologies

18
Example - Green Technologies
  • Driven by UTC HS EHS and government
    environmental requirements/regulations
  • Consult - develop system to monitor
    product-specific uses of alternatives in 5 areas
    applicable tech developments
  • Intelligence Analysis - monitor to ensure
    strategic edge in our products

19
Intelligence Analysis Definition
  • A step in the production of intelligence in
    which intelligence information is subjected to
    systematic examination in order to identify
    relevant facts, determine significant findings
    and conclusions. Jan Herring

20
Example -Laminar Flow Device
  • Bypass valve design for PW6000 engine
  • New approach
  • Would it work?
  • Utilized existing sources - tech, searched
    patents for similar applications
  • Engineering knowledge to analyze intelligence
  • Consulted by identifying similar applications

21
Example - Hydrogen Storage
  • Key technology area to UTC
  • Cross business unit applications
  • Fast moving lots of research
  • Example incorporates consulting, coaching,
    mentoring and analysis

22
Hydrogen Storage Update
  • Customer coaching/consulting
  • -weekly meeting to define project
  • -check data/preliminary results
  • -cost/time tradeoffs
  • -output - utilization/reuse
  • -value added elements

23
H2 Storage Update continued
  • Information Staff Mentoring
  • -involve new staffers at beginning
  • -observe interactions/attend meetings
  • -train in optimal search techniques
  • -increasing participation in the project

24
H2 Storage Update continued
  • Intelligence Analysis
  • -utilizing tools - ProCite
  • -highlight new technologies
  • -synopsis of news articles
  • -monitoring patents and assignees
  • Feedback quarterly
  • Realign search and analysis strategies

25
Conclusions
  • Evolving role of information professional
  • Information Audits
  • Relationship Management
  • Risk Taking

26
Questions??
  • Suzanne Cristina, Research Analyst
  • Information Network
  • Hamilton Sundstrand, A United Technologies
    Company
  • cristisp_at_utrc.utc.com
  • 860-654-4352
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