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FEMA: Hurricane Disaster Resource
Allocation
By: MIS Movement
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 2Copyright © 2018 Deloitte Development LLC. All rights reserved.
Logistics
• Damage Inspection 4
• Damage Inspection Swimlane 5
• RFID System 6
• Disaster Relief Fund 7
Financial Allocation
• Financial Allocation 9
• Blockchain 10
Data Management
• Social Media Implementation 12
• Data Validation 13
• Partnerships 14
Final Implementation 15
Thank You 16
Works Cited 17
Contents
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 3
Logistics
Josh Kim
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 4Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: How can FEMA use modern technologies to ensure established inspection
response processes and procedures are optimized and scalable?
Problems
I. Massive backlog in inspecting damaged properties
II. Long wait times for callers
Flood Area
I. Inside: 100% flood-damaged houses
II. Outside layer: Houses that could be affected by flood damage
Damage Inspection
Flood Area
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 5Copyright © 2018 Deloitte Development LLC. All rights reserved.
Damage Inspection Swimlane
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 6Copyright © 2018 Deloitte Development LLC. All rights reserved.
RFID System
Lack of automated
interfaces
Can’t track ‘partner
organizations’
shipments
In-transit real-time
location not tracked
Computers
automatically input
data
Universal RFID
Implementation
Tags allow for real-
time location
tracking
Problems
The Question: How can FEMA use modern technologies to better track the transportation
of resources from their distribution centers to disaster relief locations? What approval
processes are in place to ensure implemented solutions are compatible with partner
resource tracking technologies?
Solutions
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 7Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: How do state relief approval and resource estimation processes affect
FEMA’s ability to distribute resources to the proper locations?
Disaster Relief Fund
Reactiveness 
Being unprepared
and overspending
Inaccurate
Estimations  State
relief approval delay
Utilize data more
effectively
Allocate resources
based on data
Not enough money
set aside for DRF
Effective data
visualization
Problems
Solutions
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 8
Financial Allocation
Ronan Gleeson
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 9Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: What factors adversely affect the process of distributing relief funds and
insurance claims to hurricane and flood victims?
Problems
I. Overwhelming number of in-person applications filed post-natural disaster
II. Fraud
The Question: What is the effect of limited financial transparency to both FEMA and
federal taxpayers?
Problems
I. FEMA is unable to hold private insurance companies accountable
II. Gives away money faster than it can account for
III. Taxpayers do not know how their money is being spent
Financial Allocation
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 10Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: What are potential risks implementing a new technology, such as
Blockchain in financial government processes? How might these risks be mitigated?
Blockchain
Downsides Benefits
Still very young Instant Currency and Information Sharing
Not readily accessible to large parts of population,
especially in times of disaster
Provides unparalleled financial transparency through
public ledger
Cryptocurrency is very volatile and uncertain Allows FEMA to track every dollar handed out
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 11
Data Management
Shawn Biju
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 12Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: How can FEMA utilize information collected from various social media
platforms to perform robust data analysis?
Steps
1. Establish social media presence
2. Manage expectations
3. Establish concept of operations
4. Distribute operations timely and frequently
5. Coordinate with partnering organizations
6. Actively monitor and evaluate social media content
7. Utilize maps
8. Improve community awareness
9. Plan for loss of connectivity
10.Engage with community members post-incident
Social Media Implementation
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 13Copyright © 2018 Deloitte Development LLC. All rights reserved.
Data Validation
Data-Issue Tracking Statistics Collection
Source system loop
back verification
Workflow
Management
Data Certification
Ongoing source-to-
source verification
TheQuestion:HowcanFEMAvalidate
datacollectedfrommultiplesources??
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 14Copyright © 2018 Deloitte Development LLC. All rights reserved.
The Question: What factors should FEMA consider to evaluate partnership opportunities
with third party organizations? Benefits + challenges to both developing the technical
solution in-house and outsourcing the solution development?
Factors to consider:
I. How big is third party company
II. How much money is given to contract partner
• Smaller chunks  Small, local businesses
• Big companies:
− Offers cheap labor from outside disaster zone
− Fails to provide functioning public services
Example of Ideal Partnership: One Concern
• Can provide minute-by-minute information post-disaster
• Using public and private infrastructure datasets
• Constructs model predicting damage and loss of life
Partnerships
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 15
Final Implementation
Ronan Gleeson
Presentation title
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Copyright © 2018 Deloitte Development LLC. All rights reserved. 16Copyright © 2018 Deloitte Development LLC. All rights reserved.
Final Implementation
Presentation title
[To edit, click View > Slide Master > Slide Master]
Copyright © 2018 Deloitte Development LLC. All rights reserved. 17
Josh Kim
Deloitte Consulting recruiter
josh@deloitte.com
Shawn Biju
Deloitte Consulting recruiter
shawn@deloitte.com
Ronan Gleeson
Deloitte Consulting recruiter
ronan@deloitte.com
Contact us
Thank you
Presentation title
[To edit, click View > Slide Master > Slide Master]
Copyright © 2018 Deloitte Development LLC. All rights reserved. 18Copyright © 2018 Deloitte Development LLC. All rights reserved.
1. What Is RFID? Here's A Simple Explanation. (n.d.). Retrieved April 12, 2018, from
https://www.wireless-technology-advisor.com/what-is-rfid.html
2. Fernandez, M., Alvarez, L., & Nixon, R. (2017, October 22). Still Waiting for FEMA in Texas and
Florida After Hurricanes. Retrieved April 13, 2018, from
https://www.nytimes.com/2017/10/22/us/fema-texas-florida-delays-.html?_r=1
3. FloresFebruary, W. (n.d.). Six Validation Techniques to Improve Your Data Quality. Retrieved April
13, 2018, from https://tdwi.org/articles/2016/02/19/six-validation-techniques-data-quality.aspx
4. Joyce, C. (2017, November 20). Scientists Glimpse Houston's Flooded Future In Updated Rainfall
Data. Retrieved April 13, 2018, from https://www.npr.org/sections/thetwo-
way/2017/11/20/564941990/scientists-glimpse-houstons-flooded-future-in-updated-rainfall-data
5. Warfare Systems Center Atlantic, S. (n.d.). Innovative Uses of Social Media in Emergency
Management (pp. 1-26, Rep.). U.S. Department of Homeland Security.
6. Fox, Z. (2013, May 21). Why Social Media Is the Front Line of Disaster Response. Retrieved April
13, 2018, from https://mashable.com/2013/05/21/social-media-disaster-response/#O.yfDtikxPqW
7. Patrick, C. (2017, November 20). FOX 13 Investigates: FEMA fraud after Hurricane Irma. Retrieved
April 13, 2018, fromhttp://www.fox13news.com/news/fox-13-investigates/fox-13-investigates-fema-
fraud-after-hurricane-irma
8. Sullivan, L. (2016, June 03). Lawmakers To FEMA: Flood Plan Overhaul Is 'Too Little, Too Late'.
Retrieved April 13, 2018, fromhttps://www.npr.org/2016/06/03/480600851/lawmakers-to-fema-flood-
plan-overhaul-is-too-little-too-late
9. Ramsey, M. (2009).High Performance Passive RFID Chips(pp. 1-15, Publication). Foster Hill, CA:
Omni ID.
Works Cited

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2018 Deloitte Case Competition Powerpoint Presentation

  • 1. FEMA: Hurricane Disaster Resource Allocation By: MIS Movement
  • 2. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 2Copyright © 2018 Deloitte Development LLC. All rights reserved. Logistics • Damage Inspection 4 • Damage Inspection Swimlane 5 • RFID System 6 • Disaster Relief Fund 7 Financial Allocation • Financial Allocation 9 • Blockchain 10 Data Management • Social Media Implementation 12 • Data Validation 13 • Partnerships 14 Final Implementation 15 Thank You 16 Works Cited 17 Contents
  • 3. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 3 Logistics Josh Kim
  • 4. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 4Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: How can FEMA use modern technologies to ensure established inspection response processes and procedures are optimized and scalable? Problems I. Massive backlog in inspecting damaged properties II. Long wait times for callers Flood Area I. Inside: 100% flood-damaged houses II. Outside layer: Houses that could be affected by flood damage Damage Inspection Flood Area
  • 5. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 5Copyright © 2018 Deloitte Development LLC. All rights reserved. Damage Inspection Swimlane
  • 6. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 6Copyright © 2018 Deloitte Development LLC. All rights reserved. RFID System Lack of automated interfaces Can’t track ‘partner organizations’ shipments In-transit real-time location not tracked Computers automatically input data Universal RFID Implementation Tags allow for real- time location tracking Problems The Question: How can FEMA use modern technologies to better track the transportation of resources from their distribution centers to disaster relief locations? What approval processes are in place to ensure implemented solutions are compatible with partner resource tracking technologies? Solutions
  • 7. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 7Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: How do state relief approval and resource estimation processes affect FEMA’s ability to distribute resources to the proper locations? Disaster Relief Fund Reactiveness  Being unprepared and overspending Inaccurate Estimations  State relief approval delay Utilize data more effectively Allocate resources based on data Not enough money set aside for DRF Effective data visualization Problems Solutions
  • 8. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 8 Financial Allocation Ronan Gleeson
  • 9. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 9Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: What factors adversely affect the process of distributing relief funds and insurance claims to hurricane and flood victims? Problems I. Overwhelming number of in-person applications filed post-natural disaster II. Fraud The Question: What is the effect of limited financial transparency to both FEMA and federal taxpayers? Problems I. FEMA is unable to hold private insurance companies accountable II. Gives away money faster than it can account for III. Taxpayers do not know how their money is being spent Financial Allocation
  • 10. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 10Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: What are potential risks implementing a new technology, such as Blockchain in financial government processes? How might these risks be mitigated? Blockchain Downsides Benefits Still very young Instant Currency and Information Sharing Not readily accessible to large parts of population, especially in times of disaster Provides unparalleled financial transparency through public ledger Cryptocurrency is very volatile and uncertain Allows FEMA to track every dollar handed out
  • 11. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 11 Data Management Shawn Biju
  • 12. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 12Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: How can FEMA utilize information collected from various social media platforms to perform robust data analysis? Steps 1. Establish social media presence 2. Manage expectations 3. Establish concept of operations 4. Distribute operations timely and frequently 5. Coordinate with partnering organizations 6. Actively monitor and evaluate social media content 7. Utilize maps 8. Improve community awareness 9. Plan for loss of connectivity 10.Engage with community members post-incident Social Media Implementation
  • 13. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 13Copyright © 2018 Deloitte Development LLC. All rights reserved. Data Validation Data-Issue Tracking Statistics Collection Source system loop back verification Workflow Management Data Certification Ongoing source-to- source verification TheQuestion:HowcanFEMAvalidate datacollectedfrommultiplesources??
  • 14. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 14Copyright © 2018 Deloitte Development LLC. All rights reserved. The Question: What factors should FEMA consider to evaluate partnership opportunities with third party organizations? Benefits + challenges to both developing the technical solution in-house and outsourcing the solution development? Factors to consider: I. How big is third party company II. How much money is given to contract partner • Smaller chunks  Small, local businesses • Big companies: − Offers cheap labor from outside disaster zone − Fails to provide functioning public services Example of Ideal Partnership: One Concern • Can provide minute-by-minute information post-disaster • Using public and private infrastructure datasets • Constructs model predicting damage and loss of life Partnerships
  • 15. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 15 Final Implementation Ronan Gleeson
  • 16. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 16Copyright © 2018 Deloitte Development LLC. All rights reserved. Final Implementation
  • 17. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 17 Josh Kim Deloitte Consulting recruiter josh@deloitte.com Shawn Biju Deloitte Consulting recruiter shawn@deloitte.com Ronan Gleeson Deloitte Consulting recruiter ronan@deloitte.com Contact us Thank you
  • 18. Presentation title [To edit, click View > Slide Master > Slide Master] Copyright © 2018 Deloitte Development LLC. All rights reserved. 18Copyright © 2018 Deloitte Development LLC. All rights reserved. 1. What Is RFID? Here's A Simple Explanation. (n.d.). Retrieved April 12, 2018, from https://www.wireless-technology-advisor.com/what-is-rfid.html 2. Fernandez, M., Alvarez, L., & Nixon, R. (2017, October 22). Still Waiting for FEMA in Texas and Florida After Hurricanes. Retrieved April 13, 2018, from https://www.nytimes.com/2017/10/22/us/fema-texas-florida-delays-.html?_r=1 3. FloresFebruary, W. (n.d.). Six Validation Techniques to Improve Your Data Quality. Retrieved April 13, 2018, from https://tdwi.org/articles/2016/02/19/six-validation-techniques-data-quality.aspx 4. Joyce, C. (2017, November 20). Scientists Glimpse Houston's Flooded Future In Updated Rainfall Data. Retrieved April 13, 2018, from https://www.npr.org/sections/thetwo- way/2017/11/20/564941990/scientists-glimpse-houstons-flooded-future-in-updated-rainfall-data 5. Warfare Systems Center Atlantic, S. (n.d.). Innovative Uses of Social Media in Emergency Management (pp. 1-26, Rep.). U.S. Department of Homeland Security. 6. Fox, Z. (2013, May 21). Why Social Media Is the Front Line of Disaster Response. Retrieved April 13, 2018, from https://mashable.com/2013/05/21/social-media-disaster-response/#O.yfDtikxPqW 7. Patrick, C. (2017, November 20). FOX 13 Investigates: FEMA fraud after Hurricane Irma. Retrieved April 13, 2018, fromhttp://www.fox13news.com/news/fox-13-investigates/fox-13-investigates-fema- fraud-after-hurricane-irma 8. Sullivan, L. (2016, June 03). Lawmakers To FEMA: Flood Plan Overhaul Is 'Too Little, Too Late'. Retrieved April 13, 2018, fromhttps://www.npr.org/2016/06/03/480600851/lawmakers-to-fema-flood- plan-overhaul-is-too-little-too-late 9. Ramsey, M. (2009).High Performance Passive RFID Chips(pp. 1-15, Publication). Foster Hill, CA: Omni ID. Works Cited

Editor's Notes

  1. Can’t afford to have drones cover whole area  Focus on outside layer
  2. Calls  App In person inspections  Drones (Quick, Less manpower needed, cheaper)
  3. RFID System  Electromagnetic energy transmitted between RFID tags and RFID readers/antennas  Cost effective/mass purchase Experienced system integrator + Supply Chain Manager determine compatibility This plan persuades DHS to apply baseline
  4. -Establish a social media presence- Establish accounts on popular social media platforms and become familiar with the online culture by sustaining an active presence/ engage with community -manage expectations
  5. https://tdwi.org/articles/2016/02/19/six-validation-techniques-data-quality.aspx Source system loop back verification: In this technique, you perform aggregate-based verifications of your subject areas and ensure it matches the originating data source. For example, if you are pulling information from a billing system, you can take total billing for a single day and ensure totals match on the data warehouse as well. Although this seems like an easy validation to perform, enterprises don't often use it. The technique can be one of the best ways to ensure completeness of data. Ongoing source-to-source verification: What happens if a data integrity issue from your source system gets carried over to your data warehouse? Ultimately, you can expect that the data warehouse will share in the negative exposure of that issue, even if the data warehouse was not the cause. One way you can help catch these problems before they fester is to have an approximate verification across multiple source systems or compare similar information at different stages of your business life cycle. This can be a meaningful way to catch non data warehouse issues and protect the integrity of the information you send from the data warehouse. Data-Issue tracking: By centrally tracking all of your issues in one place, you can find recurring issues, reveal riskier subject areas, and help ensure proper preventive measures have been applied. Making it easy for business users and IT to input issues and report on them is required for effective tracking. Data certification: Performing up-front data validation before you add it to your data warehouse, including the use of data profiling tools, is a very important technique. It can add noticeable time to integrate new data sources into your data warehouse, but the long-term benefits of this step greatly enhance the value of the data warehouse and trust in your information. Statistics collection: Ensuring you maintain statistics for the full life cycle of your data will arm you with meaningful information to create alarms for unexpected results. Whether you have an in-house-developed statistics collection process or you rely upon metadata captured with your transformation program, you need to ensure you can set alarms based upon trending. For example, if your loads are typically a specific size day in and day out and suddenly the volume shrinks in half, this should set off an alert and a full investigation should occur for such events. This situation may not trigger your typical checks, so it's a great way to find those difficult-to-catch situations on an automated basis. Workflow management: Thinking properly about data quality while you design your data integration flows and overall workflows can allow for catching issues quickly and efficiently. Performing checks along the way gives you more advanced options to resolve the issue quickly. One example of this is to have strong stop and restart processes built into your workflow so that as an issue is found in the loading process, it can trigger a restart and determine if the issue was environment based. Enabling autocorrection of common challenges related to performance and environmental factors. It also can enable data quality checks that are only possible at the sub-task level during the processing window.
  6. -how many full time employees -Accessible, transparent, accurate -a highly centralized rebuilding model has a lot of risks -How big is the contract you are giving (how much money) -It’s better to give smaller chunks of money to small, local, and minority-owned businesses rather than give big chunks to a few massive companies -The big companies usually don’t provide decent paying jobs to locals and instead bring in cheap labor from outside the disaster zone (just like in Katrina) -The big companies also often fail to provide functioning public services, because they lack the relevant experience needed   -Local knowledge has been shown to be critical for rebuilding efforts