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www.unicomlearning.com

Bhoopathi Rapolu
Practice Head – Analytics
Infotech Enterprises

twitter: @bhoopathi
www.bhoopathi.com

25 Jan 2014 | HYDERABAD

www.bigdatainnovation.org
www.unicomlearning.com

www.bigdatainnovation.org

Predictions for the First Hour of 2020
Health

Security

Shopping

Your armband
read everything
about health,
eating and sleep
habits. It alerts of
any disease/
inability before
any physical
symptoms
appear.

Police can
predict criminal
activity and catch
perpetrators
before crime
happens. Govt.
can identify any
law breaker, if
they want to.

Companies
would accurately
predict what you
need and when
you need. They
know how to
send you an
offer.

Smart Cities

Smart Machines

A bus would wait
for a delayed
train. Traffic
signals predict
traffic volumes
and operate to
minimize jams

As you enter the
car, your identity,
based on several
biometric
readings, makes
it virtually
impossible for
any imposter to
start the engine

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Agenda Of The Talk






Infotech Enterprises
Emerging Impact of Big Data on Machines
Infotech Case studies
Key Takeaways

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Infotech Enterprises

20+
Years – engineering
and geospatial services

290+
Customers

22
Fortune 500 Customers
www.bhoopathi.com

98%
Repeat business
Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Infotech Perspective on Big Data
Managing Massive
Data Volumes

Traditional Analytics

Big Data Analytics

Insights into wealth of
unstructured data
Data Collection
Data Conflation
Data Extraction
Data Conversion
Data Migration
Database
Optimization

Event Analysis
Root Cause Analysis
Statistical Analysis
Spatial Analysis
LiDAR Analysis
Database Analysis

Big Data Analytics
powered by Hadoop
Predictive Analytics

Infotech Maturity
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Emerging Impact of Big Data

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Emerging Impact of Big Data

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Emerging Impact of Big Data

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Emerging Impact of Big Data

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Hotspots in the industry

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Machine Transformation
the global leader in the rail industry

countries
10 fleet
Per country

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Machine Transformation

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Machine Transformation
Real-Time Monitoring
OTMR/
Sensors

Real-time Alerts

M2M
Framework
Control center
Early failure
signals




Historical Data
Design Specs
External Data

OTMR: On-Train Monitoring Recorder

Expert System
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Insights into Big Data

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Insights from Machine Data

World’s leading supplier of location and navigation products and services, focused
on providing all drivers with the best navigation experience

Infotech processes and updates their global navigation database for 190 countries,
providing on an average 58 million data enhancements per year
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Insights from Machine Data
• Processing raw data for over 18 years to create 30 million km of
Navigational Maps
• Key data facts for the last 4 years:
o 600TB of raw video imagery
o 10 million field survey & end user reports
o 200 million data enhancements using multiple sources
• Coverage:
o North America - 99.9% coverage
o Europe 99.9% coverage
o Middle East - 99.9% coverage
o Australia and New Zealand - 99.9% coverage
o RoW – about 50% coverage

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Insights from Machine Data
Customer
specific
Special
features

Cartography
Geo Political
Path

Special requests keyed to underlying geometry (e.g. cable trunks, etc)
Feature boundaries: lakes, golf courses, shopping centers, etc
Railroads, rivers, bike path, fire breaks, canals, etc
Country, state, city, settlement, province, postal codes, etc
Street and route names, address ranges, optimal routes, truck routes

P.O.I.

Points of Interest:
Hotels, restaurants, tourist attractions, transportation terminals, etc

Navigation

Arterial classification, dividers, barriers, directionality speed limits,
traffic signals, turn restrictions, ramp signs

Geometry

Links, nodes, shape points, relative elevation, connectivity
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Insights from Machine Data
SOURCE DATA

INFOTECH BIG DATA
INFRASTRUCTURE

Shape files

I-Cube

DATA
MANAGEMENT

PNOA
WMS Layer

PLATFORM
UPDATE

• Manual updates
• Automated updates
• Systems and Processes

NATIVE
APPS
DATA
CONSOLIDATION

HADOOP
PLATFORM

Web Source

Hi Res

Updated
Navigation
platform

• Regression
• Trend Analysis
• Statistical Analysis

Business
Insights

ANALYTICS
BUSINESS
INSIGHTS

etc.
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Case Study | Insights from Machine Data
Some of the key
data monitored
by TomTom

Built-up Area
Business Service
Car Dealer
Centre of Settlement
Centre Point of Feature
Company
Construction Status
Hotel/Motel
Industrial Area
Industrial building
Institution
Nightlife
Rent-a-Car Facility
Restaurant
Shopping Centre
Theatre

Generate Insights and
Monetize them
External data like Weather,
Govt . Policy changes etc.

Identify correlations
among the business
sensitive parameters
with Big Data
Analytics

Change in Current Quarter

Historical Average Change in Key Parameters
www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

www.bigdatainnovation.org

Key Takeaways

www.bhoopathi.com

Twitter: @bhoopathi
www.unicomlearning.com

Topic:

Thank You
twitter: @bhoopathi
www.bhoopathi.com

www.bigdatainnovation.org

Organized by
UNICOM Trainings & Seminars Pvt. Ltd.
contact@unicomlearning.com

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UNICOM India Big Data Week 2014 - Bhoopathi Rapolu