Presented by Brad Taylor, VP of Data and IoT Solutions at Omnitracs

1. © 2017 Omnitracs, LLC. | Confidential and Proprietary 1
Dallas Data Science Conference 2017
Brad Taylor, VP of Data and IoT
Value Drivers for your Data – Big, Fast, or Smart

2. © 2017 Omnitracs, LLC. All rights reserved.2
Variety
Types of data to be analyzed
Veracity
Is the data consistent in
representation and quality
Volume
The scale of data produced
and consumed
Velocity
Increasing speed of data
generation and analysis
The dynamics of a fleet are
changing constantly, and so
both microbatch and real-time
use cases are required
Omnitracs generates a variety of
data including SMS, MMS, GPS,
video and both structured and
free form text communication
Reliability of the data
Omnitracs produces more than
500 million transactions daily
and that will only increase
The 4Vs help define your
data analytics approach
Value

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Data Value?
How discovering data’s Value drives Big Data @ Omnitracs
Temporal
Location
Domain
Entropy
Quality Quantity Availability

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Value should guide data strategy decisions
Data Value to Data Strategy
It all starts with Legal !
Impact on the business ?
More Value as Big|Fast|Smart?
Value in the architecture plan?
?

5. Start on “Smart” for Predictive Analytics

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“Smart” Data
Would you rather have this?
The value of smarter data in Predictive Analytics
Dataset CDataset A
Dataset B
Dataset D
“Custom” Models

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“Smart” Data
Or this?
The value of smarter data in Predictive Analytics
“Industry” Data Models

8. “Fast” Data Architecture for truck state data
$$$$
100+ Billion data points!

9. How “Big” Data helps build
“The industry will change
more in the next 10 years
then it has in the last 50”
– Jack Roberts
Editor of Overdrive

10. QUESTIONS?
Julius Fanegan
Data Modeler
Mani Ravi
Senior Engineer, Nav
Panelists from Omnitracs