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Big Data and the
Internet of the Things
Overview

Observation
Innovation
Execution
Satisfaction

Francisco Maroto
OIES Consulting

October 2013

1

© Copyright OIES Consulting. All rights reserved.
Big Data and IoT ? – More than 3 V´s

Volume
Velocity
Variety

Source: Gartner, August 2013
2

Validity
Viability
Value

Source: Aberdeen Group, April 2012
© Copyright OIES Consulting. All rights reserved.
The Big Data and IoT Game
DRIVERS

IMPLICATIONS

CHALLENGES

• Transaction volume growth explosion and interaction patterns is a
recipe for chaotic traffic loads.
• The predictive power of Big Data with IoT data show promises but
need to be explored .
• Security and ownership of sensor raw and processed data
• Sensor data could introduce an increased risk of “false
discoveries”.

Monetize the
sensor data
content

• An Internet of things can enable Big Data hybrid uses. For the car
connected example, multiple services might get pieces of that
automobile and travel data for everything from traffic management
to insurance rate-setting, from mechanics' diagnostics to road-repair
prioritization.
• Service providers find a way to earn and share revenue out of IoT
services and Big Data services with partners.

Reduce
Operational Cost
with federated
IoT and Big Data
Clouds

• Each cloud is a distinct domain with its own dedicated predictive
infrastructure that ensures continuous, closed-loop local
optimization and security concerns.
• IoT cloud domains would be loosely coupled from each other,
lessening the likelihood that anomalous non-linear events in one or
more of them don’t trigger chain reactions that cascade across them
all.

Improve
Customer
Experience

3

• Data Silos: Look for points of intersection where sensors data and
social networks factors combined for a better understanding of your
customers.
• Trends: Examine customer buying histories, social media
comments and service satisfaction to identify buying habits to
contact preferences.
• Optimize & Prioritize: Track sensor data with social media and
internal systems complaints and identify weak areas in your
customer service touch points.
© Copyright OIES Consulting. All rights reserved.
Data Analytics and Sensors are needed everywhere

Legal
discovery and
document
archiving

Social network
analysis

Traffic flow
optimization

Recommendation engines

Churn
analysis

Location-based
tracking &
services

Oil & Gas
exploration

Weather
forecasting for
business
planning

Healthcare
outcomes

Personalized
Insurance

Fraud
detection

Life sciences
research

Advertising
analysis

Equipment
monitoring

Pricing Analysis

Smart meter
monitoring

Intelligence
Gathering

4

IT infrastructure
& Web App
optimization

© Copyright OIES Consulting. All rights reserved.
Some Big Data and IoT Business Scenarios

Recommendation
Engines

Pricing Analysis

Advertising Analysis

Customer Churn
Analysis

158
Items sold/second
by Amazon.com on
11/29/2010 (Cyber
Monday)
Location and Security
Based Services

5

Smart Cities
Smart Grids

Big Data in Sports

Healthcare

© Copyright OIES Consulting. All rights reserved.
A New Set Of Questions Are Being Asked Of the Business

Can we use sensor
data to better predict
customer sentiment
and improve customer
experience?

6

© Copyright OIES Consulting. All rights reserved.
How complex is implement Big Data and IoT

Executives have big ideas with IoT and Big Data but …
How do I even get started with a request like that?

Big Data Landscape

7

IoT Landscape

© Copyright OIES Consulting. All rights reserved.
The Big Data and IoT Innovation Process
“CREATIVITY is thinking up new things.
INNOVATION is doing new things.” - Theodore Levitt
My
Sensor/
RFID
Device
Data

Social
Network
Data

3rd
Party
IoT&Big
Data
Service

My
Legacy
Data

Industry
Trends

Product
Development

Process
Improvement

Service
Development

New Partnerships

Insights

FOCUS & FILTERING: IDENTIFY THE
BEST IDEAS
8

New Business Models

THE IMPORTANCE OF (RE)EVALUATION

END-TO-END IDEA LIFECYCLE
© Copyright OIES Consulting. All rights reserved.
Big Data Analytics & IoT in Retail Industry
How valuable is Ana/Peter to my
retail sales ?
Who does she/he influence ?
What do they spend ?

Value Creation
Model
On store
shelves
Issues for the Retail Industry
Deliver value to empowered customers
Move from market analysis to understanding individuals
Take charge of growing volume, velocity and variety of data
Foster lasting connections
Focus on relationships, not just transactions
Invest in expanding the corporate brand
Capture value, measure results
Developing complete understanding of the point of sale
Build new skills and solutions
9

Staples has partnered with
Zonoff to introduce Staples
Connect, which uses a
universal hub and
multiplatform app to control
connected devices
throughout the home. Staples
showed off its new retail kiosk
at Mobilize for the first time.
Placing the spotlight on
connected home devices in
stores should help elevate
public awareness, and break
these products out of their
somewhat niche market.
© Copyright OIES Consulting. All rights reserved.
Cisco view of Internet of Everything in Retail

Improving
Customer
Experience and
Profitability

Optimizing the
Inventory to
increase sales

Maximizing the
Value of Retail
Space

Using Location
based services
to attract
customers

Assisting
customers and
Increasing sales

Connecting
Customers to
improve
Omni Channel
sales

Source: Cisco: http://internetofeverything.cisco.com/see/ioe-work-retail-0
10

© Copyright OIES Consulting. All rights reserved.
Why OIES Consulting

Advisory services based on our deep knowledge of the
Telco, M2M and Big Data market and technology.

Hands on Experience in Business Development and
Enterprise solutions selling for Technology and Professional
services firms

Worldwide Customer references

For Further information

Francisco Maroto,
CEO OIES Consulting
francisco.maroto@oies.es

11

© Copyright OIES Consulting. All rights reserved.

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Oies Big Data and the Internet of the Things Overview

  • 1. www.oies.es Big Data and the Internet of the Things Overview Observation Innovation Execution Satisfaction Francisco Maroto OIES Consulting October 2013 1 © Copyright OIES Consulting. All rights reserved.
  • 2. Big Data and IoT ? – More than 3 V´s Volume Velocity Variety Source: Gartner, August 2013 2 Validity Viability Value Source: Aberdeen Group, April 2012 © Copyright OIES Consulting. All rights reserved.
  • 3. The Big Data and IoT Game DRIVERS IMPLICATIONS CHALLENGES • Transaction volume growth explosion and interaction patterns is a recipe for chaotic traffic loads. • The predictive power of Big Data with IoT data show promises but need to be explored . • Security and ownership of sensor raw and processed data • Sensor data could introduce an increased risk of “false discoveries”. Monetize the sensor data content • An Internet of things can enable Big Data hybrid uses. For the car connected example, multiple services might get pieces of that automobile and travel data for everything from traffic management to insurance rate-setting, from mechanics' diagnostics to road-repair prioritization. • Service providers find a way to earn and share revenue out of IoT services and Big Data services with partners. Reduce Operational Cost with federated IoT and Big Data Clouds • Each cloud is a distinct domain with its own dedicated predictive infrastructure that ensures continuous, closed-loop local optimization and security concerns. • IoT cloud domains would be loosely coupled from each other, lessening the likelihood that anomalous non-linear events in one or more of them don’t trigger chain reactions that cascade across them all. Improve Customer Experience 3 • Data Silos: Look for points of intersection where sensors data and social networks factors combined for a better understanding of your customers. • Trends: Examine customer buying histories, social media comments and service satisfaction to identify buying habits to contact preferences. • Optimize & Prioritize: Track sensor data with social media and internal systems complaints and identify weak areas in your customer service touch points. © Copyright OIES Consulting. All rights reserved.
  • 4. Data Analytics and Sensors are needed everywhere Legal discovery and document archiving Social network analysis Traffic flow optimization Recommendation engines Churn analysis Location-based tracking & services Oil & Gas exploration Weather forecasting for business planning Healthcare outcomes Personalized Insurance Fraud detection Life sciences research Advertising analysis Equipment monitoring Pricing Analysis Smart meter monitoring Intelligence Gathering 4 IT infrastructure & Web App optimization © Copyright OIES Consulting. All rights reserved.
  • 5. Some Big Data and IoT Business Scenarios Recommendation Engines Pricing Analysis Advertising Analysis Customer Churn Analysis 158 Items sold/second by Amazon.com on 11/29/2010 (Cyber Monday) Location and Security Based Services 5 Smart Cities Smart Grids Big Data in Sports Healthcare © Copyright OIES Consulting. All rights reserved.
  • 6. A New Set Of Questions Are Being Asked Of the Business Can we use sensor data to better predict customer sentiment and improve customer experience? 6 © Copyright OIES Consulting. All rights reserved.
  • 7. How complex is implement Big Data and IoT Executives have big ideas with IoT and Big Data but … How do I even get started with a request like that? Big Data Landscape 7 IoT Landscape © Copyright OIES Consulting. All rights reserved.
  • 8. The Big Data and IoT Innovation Process “CREATIVITY is thinking up new things. INNOVATION is doing new things.” - Theodore Levitt My Sensor/ RFID Device Data Social Network Data 3rd Party IoT&Big Data Service My Legacy Data Industry Trends Product Development Process Improvement Service Development New Partnerships Insights FOCUS & FILTERING: IDENTIFY THE BEST IDEAS 8 New Business Models THE IMPORTANCE OF (RE)EVALUATION END-TO-END IDEA LIFECYCLE © Copyright OIES Consulting. All rights reserved.
  • 9. Big Data Analytics & IoT in Retail Industry How valuable is Ana/Peter to my retail sales ? Who does she/he influence ? What do they spend ? Value Creation Model On store shelves Issues for the Retail Industry Deliver value to empowered customers Move from market analysis to understanding individuals Take charge of growing volume, velocity and variety of data Foster lasting connections Focus on relationships, not just transactions Invest in expanding the corporate brand Capture value, measure results Developing complete understanding of the point of sale Build new skills and solutions 9 Staples has partnered with Zonoff to introduce Staples Connect, which uses a universal hub and multiplatform app to control connected devices throughout the home. Staples showed off its new retail kiosk at Mobilize for the first time. Placing the spotlight on connected home devices in stores should help elevate public awareness, and break these products out of their somewhat niche market. © Copyright OIES Consulting. All rights reserved.
  • 10. Cisco view of Internet of Everything in Retail Improving Customer Experience and Profitability Optimizing the Inventory to increase sales Maximizing the Value of Retail Space Using Location based services to attract customers Assisting customers and Increasing sales Connecting Customers to improve Omni Channel sales Source: Cisco: http://internetofeverything.cisco.com/see/ioe-work-retail-0 10 © Copyright OIES Consulting. All rights reserved.
  • 11. Why OIES Consulting Advisory services based on our deep knowledge of the Telco, M2M and Big Data market and technology. Hands on Experience in Business Development and Enterprise solutions selling for Technology and Professional services firms Worldwide Customer references For Further information Francisco Maroto, CEO OIES Consulting francisco.maroto@oies.es 11 © Copyright OIES Consulting. All rights reserved.