Policy Impact Analysis - 117/S/4908

Bill Overview

Title: Strengthening Agency Management and Oversight of Software Assets Act

Description: This bill requires each federal agency to develop assessments of their software inventories and software licenses and a plan to reduce costs by consolidating licenses and adopting enterprise license agreements to the greatest extent practicable. The bill also requires the Office of Management and Budget and the Government Accountability Office to report on various government-wide issues relating to federal software licenses and inventories.

Sponsors: Sen. Peters, Gary C. [D-MI]

Target Audience

Population: Federal employees and contractors involved in software asset management

Estimated Size: 2700000

Reasoning

Simulated Interviews

IT Manager at a Federal Agency (Washington, D.C.)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy seems necessary to improve our current software management.
  • Enterprise licensing can save our agency money, but it will require effort to implement.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 5
Year 20 7 5

Software Vendor Sales Representative (Denver, CO)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • This could impact my sales if the government shifts to more open-source software.
  • We might need to adjust our offerings and pricing.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 7
Year 2 6 7
Year 3 6 7
Year 5 7 7
Year 10 7 6
Year 20 7 6

Federal Contractor (New York, NY)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • Streamlining software across agencies is overdue; it could improve efficiency and transparency.
  • There might be challenges transitioning to enterprise licenses.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 5 5
Year 20 5 4

Federal Employee in Procurement (Seattle, WA)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy provides clear guidance on how we can optimize our software inventory.
  • Adopting enterprise licenses should be beneficial, though it might require training.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 8 6

General Services Administration Analyst (Chicago, IL)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • This effort is well aligned with our goals of improving government spending efficiency.
  • We will need to monitor changes closely to ensure intended outcomes are met.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 7
Year 20 9 7

Retired Federal IT Specialist (Atlanta, GA)

Age: 60 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • While I'm retired, I've seen the inefficiencies firsthand; this policy addresses some core issues.
  • The success will heavily depend on execution and collaboration across agencies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 8 8
Year 20 8 8

Open Source Software Advocate (San Francisco, CA)

Age: 38 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • This offers a wonderful opportunity to push for broader open-source adoption.
  • Concerns remain over whether agencies will truly transition effectively.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 9 6

Federal Project Manager (Los Angeles, CA)

Age: 55 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • This mandate will create additional workload in the short term.
  • Long-term benefits could include smoother project operations and reduced costs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 8 5
Year 10 8 5
Year 20 8 5

Government Accountability Office Researcher (Austin, TX)

Age: 46 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 11/20

Statement of Opinion:

  • Efficient software management is crucial; our findings will guide future policy changes.
  • It's essential that agencies accurately report their software use and needs to maximize savings.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 7
Year 20 8 7

Federal IT Support Staff (Boston, MA)

Age: 31 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 16/20

Statement of Opinion:

  • Adapting to new standards could be challenging at first, but I see the potential long-term benefits.
  • There may be some apprehension among my colleagues about job impacts.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 6 5
Year 20 6 5

Cost Estimates

Year 1: $5000000 (Low: $4000000, High: $6000000)

Year 2: $6000000 (Low: $5000000, High: $7000000)

Year 3: $7000000 (Low: $6000000, High: $8000000)

Year 5: $8000000 (Low: $7000000, High: $9000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations