eGovernment Working Group Meeting

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eGovernment Working Group Meeting

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Pamela Mason. APHIS. George Laugelli. FFAS. Paul Whitmore ... Dave Anderson. RD. Susan Carlson. Forest Service. John King. NASS. Rick Schuchardt eGov Liaison ... – PowerPoint PPT presentation

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Title: eGovernment Working Group Meeting


1
  • eGovernment Working Group Meeting
  • Chris Niedermayer, USDA eGovernment Executive

2
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

3
OMB Meeting Highlights and Scorecard
  • OMB USDA Budget Review meeting June 11, 2002
  • OBPA, OCFO, OCIO and OCPO
  • Presidents Management Agenda 2nd Quarter
    Scorecard results
  • eGovernment Progress in Implementing the
    Presidents Management Agenda category earned a
    GREEN rating
  • Many factors contributed to the rating,
    including
  • Strategic planning efforts of the Working Group
    and Executive Council,
  • Business case development, and
  • Participation in government-wide Presidential
    eGovernment initiatives
  • See handout for full description

4
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

5
Business Case Review and Approval Schedule
Integrated project plan for eGovernment and IT
Capital Planning teams. Final goal is Smart
Choice Candidates approval from Deputy Secretary
and EITIRB. Key Tasks include
6
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

7
EGWG Briefing Topics
  • Past Briefings
  • Universal Telecommunications Network (UTN)
    February 13
  • Export.gov (Quicksilver) February 20
  • eEligibility (Quicksilver) February 27
  • Geospatial One Stop (Quicksilver) March 13
  • Integrated Acquisition System (eProcurement)
    March 13
  • Capital Planning and Investments (CPIC) March
    27
  • eTraining (Quicksilver) April 9
  • eLoans (Quicksilver) April 24
  • Smart Choice Candidate Business Cases May 8 -
    present
  • Todays Briefing
  • Smart Choice Candidate Business Case Data
    Management
  • Planned Briefings
  • Additional Smart Choice Candidate Business Cases
  • Additional USDA-related Presidential
    (Quicksilver) initiatives
  • Cyber Security
  • Enterprise Architecture

8
Guest Speaker
Data Management Business Case Bob Hocutt, Lead
9
  • eGovernment Smart Choice Business Case
  • Data Management

June 19, 2002
10
Agenda
  • Business Case Team Members
  • Background and Context
  • Overview of As-Is and To-Be Environments
  • Value Proposition
  • High-Level Timeline Milestones
  • Summary of Costs Benefits
  • Risks, Dependencies, Performance Measures

11
Data Management Business Case Team Members
12
Background and Context
Data management consistently surfaces as an area
of opportunity as USDA seeks to accomplish its
mission and vision in the spirit of eGovernment.
  • Data management functions in USDA have
    historically been performed at the agency or
    mission area level, instead of from a USDA-wide,
    cross-agency perspective. This results in
    numerous redundancies and inefficiencies as well
    as an inadequate mechanism for collaborating and
    reusing information.
  • Data management at USDA will address a number of
    high profile, high value issues
  • Citizen centered government
  • The Presidents Management Agenda leveraged
    funding decisions
  • The Paperwork Reduction Act
  • Faster response in time of crisis
  • USDA strategic and enabling eGovernment
    initiatives require data management
  • The presidential initiative for USA Services
  • A key component of the USDA Enterprise
    Architecture (EA)

13
USDA As-Is Overview Business
The As-Is state of data management in USDA is
mixed and varies widely from mission area to
mission area and agency to agency.
  • GovernanceThe Agencies and Mission Areas that
    make up USDA have for many years pursued a
    technology direction that meets their individual
    goals, and leverages their IT strengths and
    investments but has led to a certain amount of
    individualism, data duplication and a general
    lack of awareness of related efforts. In spite of
    the distributed nature of todays environment
    however, the process of managing data in USDA
    today is in some ways very top-down.
  • Data management strategy Agencies with larger
    investments in IT resources and technology
    perform their routine tasks with different
    strategies. Individual strategies are based on
    agency mission,skill sets and IT investments and,
    while netting valid results, do not always
    encourage collaboration or reuse, and perhaps
    have different guidelines and principals.
  • Unified Standards CriteriaIn the larger context
    of unified standards, many of the projects
    currently underway could arguably be considered
    point solutions that while meeting agency or
    mission area goals, may not be designed to meet
    eGovernment data management goals. USDA has as a
    result of its history, adopted many standards
    within the agencies and mission areas, which are
    not easily replaced.

14
USDA As-Is Overview Business
The As-Is state of data management in USDA is
mixed and varies widely from mission area to
mission area and agency to agency.
  • Collaboration The collaboration efforts
    currently underway also vary widely in their
    scope and effectiveness. Many of the official
    efforts often do not meet expectations, however
    it is clear that collaboration does and can work,
    although these efforts are sometimes under the
    radar and not well known.
  •  Data Sharing and Reuse In spite of current
    situation, some Agencies have succeeded in
    finding ways to share data and information in a
    way that meets the needs of their customers, and
    mission areas. It is perhaps more than a
    coincidence that these efforts are very much in
    line with the requirements eGovernment places
    upon agencies to engage in this type of activity

15
USDA To-Be Overview Business
The goals of eGovernment are clear, and USDA must
be able to support eGovernment driven Data
Management activities that support the
Presidents mandates and agenda. In order to meet
these goals, the following components should be
in place
  • Governance We envision that the Data Management
    organization will consist of the following
    entities an Executive Sponsor, a Program
    Management Office (PMO), a Steering Committee,
    Community Project Sponsors, and Communities of
    Interest.
  • Strategy We envision a comprehensive eGovernment
    data management strategy that outlines general
    guidelines and principals to be used by
    communities of interest in finding solutions to
    the problems eGovernment brings to the table.
  • Unified Standards Criteria In order to meet
    customer expectations and business goals,
    standards will have to be researched, evaluated,
    developed or otherwise adopted.
  • Collaboration We envision an environment where
    information can be collected and shared across
    the Department, and procedures and methods exist
    for the free exchange of information regarding
    different projects undertaken.
  • Data Sharing and Reuse Primary goal of
    eGovernment however there are many important
    eGovernment driven data management issues that
    may produce other, equally important and enabling
    deliverables. Things like standards
    investigation, and a review of industry best
    practices do not immediately address the primary
    goal of sharing data, but might very well
    contribute to another effort to share data and
    make it successful.

16
Data Management Organizational Structure
17
Value Proposition
There is significant value to be realized from
implementing data management in USDA.
  • Strategic
  • Enable other eGovernment initiatives to deploy
    faster at a reduced cost.
  • Provide USDA customers with the ability to
    opt-in to share their data across agencies,
    thereby allowing them to enter information once
    and make it available to multiple applications.
  • Financial
  • Reduce development and maintenance costs of new
    and existing applications
  • Improve quality of data to decrease risk and
    reduce cost.
  • Eliminate unnecessary data duplication and the
    effort and resources required to maintain
    duplicate data stores.
  • Operational
  • Increase collaboration and reduce development
    waste within USDA by providing centralized access
    to data management best practices and lessons
    learned.
  • Reduce operational inefficiencies such as
    duplication and fragmentation by streamlining
    processes.
  • Reduce turnaround times for data requests by
    storing information in a common data repository.
  • Save time and effort by encouraging use and
    access of data in ways that allow multiple uses
    of the same data set.

18
High-Level Timeline Milestones
Data Management requires careful planning and a
clearly defined approach and scope therefore,
the implementation will be divided into three
phases.
19
Cost-Benefit Analysis
The table below summarizes the costs and benefits
of implementing data management in USDA, as well
as the net present value and return on
investment.
20
Risks, Dependencies, and Performance Measures
This initiative will create a thorough risk
assessment and management plan to minimize,
mitigate, and address each identified risk. In
addition, performance goals will be defined and
measured in order to focus effort, motivate
performance, and evaluate success.
  • Risks
  • Enterprise data management governance overlaps
    with existing agency data governance entities
  • Past data management initiatives have not
    produced measurable benefit
  • Data management services are not delivered in a
    timely manner or in sync with dependent strategic
    initiatives
  • Sensitive information not properly identified in
    terms of enterprise wide data sharing
  • Dependencies
  • This initiative is dependent on the successful
    completion of the departments Enterprise
    Architecture
  • The Presidential Initiative for USA Services is
    not directly dependant on data management, but
    these two initiatives should be closely
    integrated
  • The following eGov initiatives are dependant on
    data management eLoans, eGrants, Web Based
    Supply Chain, Online Trade, and eAuthentication.
  • Performance Measures
  • Agencies, Mission Areas, eGovernment initiatives,
    and other initiatives in USDA use Data Management
    as a routine business practice

21
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

22
eGovernment Conference
  • E-Gov 2002, June 24th 27th, Washington
    Convention Center
  • Discounted registration still available through
    OCIO. Contact Howard Baker at 720-8657 for
    further details.
  • USDA Breakout Session on Thursday, June 27, 10
    a.m. 11 a.m.

23
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

24
Next Steps Wrap-up
  • Working Group members need to brief their Agency
    Heads and Agency Steering Committees on the
    business cases by Wednesday, June 26
  • Briefing materials will be available on the eGov
    Web site
  • Please e-mail the eGov mailbox once you have held
    your briefings
  • We continue to welcome your contributions to and
    suggestions about the eGovernment Web site
  • In the Spotlight suggestions?
  • WebCAAF article on site, ERS and Geospatial One
    Stop in progress

25
Agenda
  • Welcome
  • OMB Meeting Highlights and Scorecard
  • Business Case Review and Approval Schedule
  • Guest Speaker Data Management Business Case
  • eGovernment Conference
  • Next Steps and Wrap-up
  • Q A

26
Questions and Answers
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