The document discusses The Matrix Mapper, a proposed solution to analyze airline data and address concerns. It would consume structured, semi-structured, and unstructured data from various sources related to flights, passengers, and airports. The Matrix Mapper would provide icons representing entities, places, and events and show the interconnections between them. This would allow monitoring of large amounts of data and discovery of relationships to provide actionable and predictive results to help solve problems in the aviation industry.

3. Export
Control Regulation on
Analyst’s Notebook that it can
only be available to businesses,
government agencies and
academic institutions operating
within the USA and Russia.
The Matrix Mapper is intended to provide a strong, viable,
dependable and effective alternative to the Analyst’s
Notebook and to excel the Sentinel Visualizer. Therefore,
for clarity in concept & visualization, above image of
Analyst’s Notebook has been used.

4. Flight Operations Analytics
Air India
Pilot Name
Jet lite
Flight No.
Flying
Experience
Kingfisher
Flight Name
…
Airbus
…
Ilyushin
Chief Pilot
International
Flight Type
Aircraft Types
Technical
Snag History
…
Boeing
McDonnell
Douglas
Domestic
Weather
Flight Flight
Source Destination
Stormy
Distance
Equipment’s
List & Status
Next
Nearest
Airfield
Previous Accident
Sunny
Reports & SOPs
Rainy
ATC
List
Hydraulics
Working
Fuel (Full)
Emergency Landing
Status
If hydraulics not working then
do this.
Working
Landing Gear
Working
Engine
Not Working
If fuel tank is empty then do this.
If landing gear is not working
then do this.
If front engine is not working
then do this.

5. Customer Complaints & Feedback Analytics

6. The Matrix Mapper Solution
The Matrix Mapper is a dream product which can be effectively used to address airline and
air travel concerns. It does this by analyzing thousands of text, video, audio and graphic
data inputs to render the data bulk into identifiable clusters and then subjecting those
clusters to intelligent semantics and analytics for correlation of issues, factors, events and
observations to render logical conclusions and prognosis to deliver versatile problem
solving capabilities. Examples would include:
1. Flight delays
2. Technical Snags
3. Crew Behavior & Issues
4. Flyer complaints (bracketed variously into, say, frequent, economy and business class fliers)
5. Customer preferences
6. Airport Data
7. Straying from routes on Jeppeson Chart
8. Threats and Advisories
The Matrix Mapper would not only graphically provide the connections between
apparently diverse persons, issues, occurrences, hitches etc. but would also facilitate
decision making in real time and critical situations, something so vital to the aviation
industry.

8. Audio Intercept
Cell/ Landline/ SDR
Contacts & Contacts
of Contacts
Contact Methods
GIS
Locational, Positional
and Territorial Info.
vis-à-vis Contacts
Text/ Alphanumeric
Audio/ Video/ Images
Imagery Correlation
with Visual, Situational
Identification
Nature as well as
Intensity
of Inter-relationships
Prediction

9. The Matrix Mapper (MM) would consume the data (structured,
semi-structured and unstructured data) gathered from
disparate sources, such as:• Flight & taxi booking through internet or travel agent.
• Mode of check-in confirmation.
• Boarding pass, embarkation/ disembarkation card for
passengers taking international flights.
• Hospitality, services, seat preference etc.
• Telephonic enquiries.
• CCTV footage during Airport security checks, ATMs, food and
shopping stalls, etc.

10. The Matrix Mapper (MM) would provide hundreds of icons each
signifying an entity, place or event such as persons, airplanes,
airline reservation via internet booking or travel agent, tickets,
boarding pass, seats, computer, landline, mobile phone, emails,
food preferences, ATMs, etc. It allows intelligent data population
and knowledge discovery on the reams of data during monitoring
and provides inter-connection and relationship among the icons.
The Matrix Mapper not only provides the graphical representation
of the linkages among the matching entity, place and events,
forming a consolidated network but also capable of throwing the
actionable and predictive results.

11. THANK YOU
Visit us at:
(www.aarktech.net
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