Us census bureau united state. Case study about failure of us census bureau at united state. Leadership failure in us census bureau.

2. Leadership and governance
failures:
US Census Bureau Field Data Collection
Automation project

3. Group Members:
YASIR IQBAL SOHAIL AMJAD M. AMIR
ANAS GHAFOOR SHARJEEL Khilat FARAZ AHMAD
 Introduction  Goals and Objectives
 Causes of Failure
 Preventions
 Functional
Requirement
 Non Functional
Requirement
 Conclusion

4. CONTENTS:
Introduction
Project Goals and Objectives
Causes of Failure
Preventions
Functional Requirements
 Non-Functional Requirements
Conclusion

5. Introduction:
 History:
The US Census Bureau is the agency responsible for conducting the decennial
census, which has been conducted every 10 years since 1790. The agency was
created as part of the US Department of the Interior in 1902.
Decennial Census:
The decennial census is the largest and most comprehensive survey conducted by the
Census Bureau, and it provides a snapshot of the US population at a particular point
in time. The census is used to determine representation in Congress, allocate federal
funding, and inform decision-making in the public and private sectors.
Mission:
The mission of the Census Bureau is to serve as the leading source of quality data
about the nation's people and economy. The Census Bureau collects and analyzes
data on a wide range of topics, including demographics, economics, housing, and
geography.

6. Introduction:
 Data Privacy:
The Census Bureau takes data privacy and confidentiality very seriously and is
required by law to protect the personal information of individuals who
participate in its surveys. The agency uses a variety of methods to ensure that
data is secure and cannot be linked back to individual respondents.
 Challenges:
The Census Bureau faces a variety of challenges in conducting its surveys,
including logistical challenges related to data collection and processing,
legal and political challenges related to privacy and confidentiality, and
financial and resource constraints that can impact the quality and scope of
its work

8. The Field Data Collection
Automation(FDCA) Project
• The task of addressing the issues fell on the shoulders of
Associate Director and Chief Operating Officer for the 2010
decennial census, Preston "Jay" Waite.
• Waite was a career officer in the Census Bureau and in
2001 he was assigned full and direct responsibility for
overseeing the preparations for the 2010 census.
• Waite recognized that if the Bureau was to meet its goals,
the existing paper based census needed to be redesigned.
• Waite decided to equip the bureau's 525,000 field workers
with GPS enabled, on-line, handheld computing devices
instead of the traditional clipboard and paper.

11. The 2010 Census
• A Very Good “Net” Census

12. Project goals and objectives
Improve data accuracy:
Increase efficiency:
Reduce processing times:
Modernize data collection process:
Ensure data security and privacy:
Increase respondent participation:

13. Project goals and objectives
 Improve data accuracy:
The project aimed to reduce errors in data collection by using
electronic devices and automated tools that could help eliminate
manual data entry and transcription errors.
 Increase efficiency:
By automating the data collection process, the project aimed to
increase the efficiency and productivity of field staff, enabling
them to collect more data in less time and with greater accuracy.
 Reduce processing times:
The project aimed to reduce the time it takes to process and
analyze data collected during field operations, which would
allow for faster decision-making and response times.

14. Project goals and objectives:
 Modernize data collection process:
The project aimed to modernize the data collection process,
making it more technologically advanced and adaptable to
changing societal needs.
 Ensure data security and privacy:
The project aimed to ensure the security and privacy of data
collected during field operations, protecting it from unauthorized
access and use.
 Increase respondent participation:
The project aimed to increase respondent participation by
making the data collection process more convenient and
accessible to the public.

15. Causes of failure
Leadership Failure
1. Poor Planning: One possible cause of the failure may be
poor planning and lack of foresight in anticipating the
challenges that the Census Bureau would face. This may
have been exacerbated by a lack of funding, resources, and
support from senior leadership.
2. Lack of Communication: Another possible cause may be a
lack of communication between different departments
and stakeholders within the Census Bureau, which can
lead to misalignment of goals and objectives, and
inadequate information sharing.

16. Leadership and governance failures:
3. Inadequate Training: The Census Bureau may have also
faced challenges related to inadequate training and
capacity building among its staff and contractors,
particularly in light of the disruptions
4. Political Interference: The Census Bureau may have also
faced challenges related to political interference and
pressure, particularly in light of the contentious political
climate during the 2020 census cycle.
5. Lack of Accountability: Finally, the Census Bureau may
have faced challenges related to a lack of accountability
and transparency, particularly in how it managed its
resources and responded to the challenges faced during
the census.

17. How we prevent all these failure in US
Census Bureau
1. Effective project planning: Ensure that project planning is
thorough, and that all stakeholders are involved and
informed throughout the process. This can help to identify
and manage risks, and to establish clear project objectives
and deliverables.
2. Strong leadership: Appoint a strong project manager with
the necessary leadership skills to effectively manage the
project and to establish accountability for project
outcomes.
3. Effective project governance: Establish appropriate
governance processes to track and control the project,
and to ensure that the project team is aligned with project
goals.

18. How we prevent all these failure in US
Census Bureau
4. Robust project management methodology: Establish a
robust project management methodology to manage
project risks, quality, and change control.
5. Adequate resources and expertise: Ensure that the
project team has the necessary resources and expertise to
execute the project tasks effectively.
6. Effective communication: Establish effective
communication processes to ensure that all stakeholders
are informed and aligned throughout the project.
7. Monitoring and control: Regularly monitor project
progress and implement corrective actions as necessary to
ensure that the project is on track to meet its objectives.

19. Functional and non-functional
requirements
Functional Requirment:
Functional requirements refer to the specific functions or
features that the Field Data Collection Automation (FDCA)
system must perform in order to meet its intended purpose.
1. The FDCA system must be able to guide field data collectors
through the census questionnaire and validate the data as it
is entered to ensure accuracy.
2. The system must allow field data collectors to collect and
store data offline if an internet connection is not available,
and automatically sync the data when a connection is
restored.

20. Functional Requirment:
3. The system must use GPS technology to ensure that field
data collectors are in the correct location when collecting
data.
4. The system must provide field data collectors with real-time
feedback on the completeness and accuracy of their data.
5. The system must allow field data collectors to take photos
and upload them to the database as supporting
documentation

21. Requirements Classification:
 User Requirements:
– User-friendly
– Easy to understand
– Ensure the privacy of users.
 System Requirements:
– Able to handle a lot of data
– Available for people to use when they need it.
 Software specification:
– The US Census software must be designed for efficient data collection,
storage, and processing
– It must ensure data privacy and security, and provide accurate and reliable
results

22. Non-functional requirements
1. The system must be secure and protect sensitive data from
unauthorized access or data breaches.
2. The system must be reliable and perform consistently even in
areas with poor internet connectivity or other environmental
factors.
3. The system must be scalable and able to handle large
volumes of data without performance degradation.
4. The system must be user-friendly and intuitive, requiring
minimal training for field data collectors to use effectively.
5. The system must be easily maintainable and supportable,
with robust documentation and error logging to aid in
troubleshooting.

23. Conclusion
 The US Census Bureau Field Data Collection Automation project aimed to
modernize and automate the data collection process used during the
decennial census. By using handheld devices and other technology, the
project sought to reduce costs and improve accuracy.
The project resulted in several key conclusions:
1. Increased efficiency: Automation reduced the time it took to collect and
process data, making the overall census process faster and more
efficient.
2. Improved accuracy: By automating data collection, the potential for
errors was reduced, leading to more accurate data.
3. Cost savings: The use of technology allowed the Census Bureau to save
money by reducing the need for paper-based forms and manual data
entry.
4. Enhanced data security: The use of handheld devices allowed for the
secure and encrypted transmission of data, reducing the risk of data
breaches or other security issues.