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Discover what you are missing.
Vumbua: An idea born at West Point…
and refined in Africa.
Many businesses and investors waste time and
money cultivating relationships with the “wrong
people.”
The Art of the Possible.
• Identify the most influential people and groups
using real-time data...
• Understand and manage risk…
• Identify firms that are “networked” for future
growth…
All from the computer in your office?
We’ve invented it.
A SaaS platform that utilizes
the same analytical techniques
as the most elite
counterterrorism forces in the
world.
You need to know who
you “need to know.”
The fusion of advanced Machine Intelligence with
Local Trusted Agent Networks.
Superior results, faster, lower cost.
“Art and science encounter each
other when they seek exactitude.
-Étienne-Jules Marey
French physiologist
Use Case.
Client Story.
How does a new biotech firm with limited resources enter
and compete in the Moroccan market?
How they were going to do it…
• Identify influencers through industry contacts and web
searches.
• Hire a consulting firm to assist identifying influencers
and, hopefully, facilitate introductions.
• Fly to Morocco for two weeks, make calls, knock on
doors, and, hopefully, meet the “right” people.
The user opens the application
to series of simple drop-down
data filters.
They can then
filter by region.
Then by
country.
And finally by
sector.
The user can
then select
“Influential
People.”
…and a fully
explorable network of
influential people is
displayed.
We have developed a
series of metrics that
identify by Influencers
and Connectors in
the ecosystem.
Clicking on a
person
identifies that
person in the
network.
...and a
baseball card
for that person
appears .
If you’d like to
connect with
that person we
propose an
optimal path
based on who
you know.
We also
provide
information on
the Connector.
We have developed several
other powerful visualizations-
all fully explorable.
Collaborative Data
Ingest Tool (C-DIT)
Back-end Analytics Web-based
Visualizations
Integration
Complete
Vumbua
How it works.
Additional technical details in Appendix
Vumbua
Go to Market.
Phase 1 (Months 1-6): $500K
Data
Demand/
Customer
Identification Bespoke
Engagements
Scalable
Data
Collection
Process White Papers
 Customer Discovery
 Industry Event Demos &
Presentations
 Newsletters
 Publicity thru Industry Orgs
• Feedback drives C-DIT development.
• SaaS interface improved to efficiently scale.
• Data Collection is still primarily human collected
2 Champion
Customers
Vumbua
Go to Market.
Phase 2 (Months 7-24): $2M
Bespoke
Engagements
Data
Collection
Process
Scales Data
RepositoryAdditional Revenue
Improves C-DIT
Scales Vumbua
Platform
Vumbua
Live
Data Collection transitions from primarily human collection to
increasing automation until optimal machine-human
collaboration is achieved. Details in Appendix.
www.stormkinganalytics.com
info@stormkinganalytics.com
PO Box 504
Cornwall on Hudson, NY USA
Appendix
Collaborative Data
Ingest Tool (C-DIT)
Back-end Analytics Web-based
Visualizations
Vumbua
How it works.
Collaborative Data
Ingest Tool (C-DIT)
Vumbua
How it works.
1. Subject Matter Expert determines the “seed themes”
particular to the ecosystem under analysis.
2. Web scraper pulls data based upon the “seed” and
populated graph database.
3. AI Engine module checks for data completeness and
identifies data anomalies.
4. A checklist is sent to analyst who addresses data
anomalies using human wisdom.
5. Feedback provided to C-DIT engine to improve data
collection.
6. If required, query is sent to trusted agent on the
ground in ecosystem under analysis for data
confirmation
7. Process operates continually, providing real-time data.
Machine-Human Collaboration
Smart Data, not Big Data
Vumbua
How it works.
1. Data is pulled from Graph Data Base
based upon query from user interface.
2. Network models are developed based upon
the user query.
3. All entities are assigned multiple scores.
4. Influencers and Connectors are identified.
5. Communities within the network identified.
6. People and groups are ranked based upon
proprietary algorithms.
The same analytical techniques as the most
elite counterterrorism forces in the world.Back-end Analytics
Vumbua
How it works.
1. User is presented with an intuitive, elegant
interface.
2. Queries are intuitive and quick; simple drop-
downs, maps, and tags.
3. User is presented with beautiful, interactive
visualizations.
4. Based upon our previous research work,
insights from the data are clear to decision
makers.
5. The “so what?” is clear and actionable.
We want our users to enjoy using this product
and smile while using it!
Web-based
Visualizations

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20.08 vumbua demo

  • 1. Discover what you are missing.
  • 2. Vumbua: An idea born at West Point…
  • 3. and refined in Africa.
  • 4. Many businesses and investors waste time and money cultivating relationships with the “wrong people.”
  • 5.
  • 6. The Art of the Possible. • Identify the most influential people and groups using real-time data... • Understand and manage risk… • Identify firms that are “networked” for future growth… All from the computer in your office?
  • 7. We’ve invented it. A SaaS platform that utilizes the same analytical techniques as the most elite counterterrorism forces in the world. You need to know who you “need to know.”
  • 8. The fusion of advanced Machine Intelligence with Local Trusted Agent Networks. Superior results, faster, lower cost. “Art and science encounter each other when they seek exactitude. -Étienne-Jules Marey French physiologist
  • 9. Use Case. Client Story. How does a new biotech firm with limited resources enter and compete in the Moroccan market? How they were going to do it… • Identify influencers through industry contacts and web searches. • Hire a consulting firm to assist identifying influencers and, hopefully, facilitate introductions. • Fly to Morocco for two weeks, make calls, knock on doors, and, hopefully, meet the “right” people.
  • 10. The user opens the application to series of simple drop-down data filters.
  • 11. They can then filter by region.
  • 14. The user can then select “Influential People.”
  • 15. …and a fully explorable network of influential people is displayed.
  • 16. We have developed a series of metrics that identify by Influencers and Connectors in the ecosystem.
  • 17. Clicking on a person identifies that person in the network.
  • 18. ...and a baseball card for that person appears .
  • 19. If you’d like to connect with that person we propose an optimal path based on who you know.
  • 21. We have developed several other powerful visualizations- all fully explorable.
  • 22. Collaborative Data Ingest Tool (C-DIT) Back-end Analytics Web-based Visualizations Integration Complete Vumbua How it works. Additional technical details in Appendix
  • 23. Vumbua Go to Market. Phase 1 (Months 1-6): $500K Data Demand/ Customer Identification Bespoke Engagements Scalable Data Collection Process White Papers  Customer Discovery  Industry Event Demos & Presentations  Newsletters  Publicity thru Industry Orgs • Feedback drives C-DIT development. • SaaS interface improved to efficiently scale. • Data Collection is still primarily human collected 2 Champion Customers
  • 24. Vumbua Go to Market. Phase 2 (Months 7-24): $2M Bespoke Engagements Data Collection Process Scales Data RepositoryAdditional Revenue Improves C-DIT Scales Vumbua Platform Vumbua Live Data Collection transitions from primarily human collection to increasing automation until optimal machine-human collaboration is achieved. Details in Appendix.
  • 27. Collaborative Data Ingest Tool (C-DIT) Back-end Analytics Web-based Visualizations Vumbua How it works.
  • 28. Collaborative Data Ingest Tool (C-DIT) Vumbua How it works. 1. Subject Matter Expert determines the “seed themes” particular to the ecosystem under analysis. 2. Web scraper pulls data based upon the “seed” and populated graph database. 3. AI Engine module checks for data completeness and identifies data anomalies. 4. A checklist is sent to analyst who addresses data anomalies using human wisdom. 5. Feedback provided to C-DIT engine to improve data collection. 6. If required, query is sent to trusted agent on the ground in ecosystem under analysis for data confirmation 7. Process operates continually, providing real-time data. Machine-Human Collaboration Smart Data, not Big Data
  • 29. Vumbua How it works. 1. Data is pulled from Graph Data Base based upon query from user interface. 2. Network models are developed based upon the user query. 3. All entities are assigned multiple scores. 4. Influencers and Connectors are identified. 5. Communities within the network identified. 6. People and groups are ranked based upon proprietary algorithms. The same analytical techniques as the most elite counterterrorism forces in the world.Back-end Analytics
  • 30. Vumbua How it works. 1. User is presented with an intuitive, elegant interface. 2. Queries are intuitive and quick; simple drop- downs, maps, and tags. 3. User is presented with beautiful, interactive visualizations. 4. Based upon our previous research work, insights from the data are clear to decision makers. 5. The “so what?” is clear and actionable. We want our users to enjoy using this product and smile while using it! Web-based Visualizations