earley executive roundtable on data analytics - session 2 - mining business insights with big data...

Copyright © 2015 Earley Information Science1 Copyright © 2015 Earley Information Science

Earley Executive Roundtable

Series on Data Analytics Session 2: Mining Business Insights with Big

Data Analytics and the Internet of Things

June 3, 2 015

Presented by

Seth Earley

CEO

Earley Information ScienceClick to watch a recording of this webinar

http://info.earley.com/earley-roundtable-session-2-mining-business-insight-big-data-analytics-internet-things

Copyright © 2015 Earley Information Science2

Today’s Agenda

• Welcome & Housekeeping

– Session duration & questions

– Session recording & materials

– Take the survey!

• Introduction– Seth Earley (@sethearley)

• Panelist Introductions– Bruce Daley, Principal Analyst, Tractica (@brucedaley)

– John Spooner, Vice President – Platforms, TBR (@JohnSpoonerTBR)

– Joanna Schloss, BI & Analytics Evangelist, Dell (@Dell)

– Ram Sangireddy, Dir of Product Mgmt, Vitria Technology (@VitriaTech)

• Panel Discussion

• Questions & Answers

• Join the conversation: #earleyroundtable


Seth Earley, Founder & CEO, Earley Information Science

[email protected]@sethearley

• Over 20 years experience in data science and technology, content and

knowledge management systems, background in sciences (chemistry)

• Current work in cognitive computing, knowledge and data management

systems, taxonomy, ontology and metadata governance strategies

• Co-author of Practical Knowledge Management from IBM Press

• Editor of Data Analytics Department IEEE IT Professional Magazine

• Member of Editorial Board Journal of Applied Marketing Analytics

• Former Co-Chair, Academy of Motion Picture Arts and Sciences, Science and

Technology Council Metadata Project Committee

• Founder of the Boston Knowledge Management Forum

• Former adjunct professor at Northeastern University

• Guest speaker for US Strategic Command briefing on knowledge networks

• AIIM Master Trainer – Information Organization and Access

• Course Developer and Master Instructor for Enterprise IA and Semantic

Search

• Long history of industry education and research in emerging fields


Mining Business Insights with Big Data Analytics and the Internet of Things

Core Concepts


The Internet of Things

Sensors

Connectivity

Intelligence



• Distributed sensors have been around for many years (for example, GE’s

Industrial internet monitored turbines and other industrial equipment)

• We are now connected to networks wherever we go and ambient

wireless is pervasive

• Costs of processing power mean remote connected devices have the

processing power to embed intelligence into the environment

Sensors

Connectivity

Intelligence



• Humans removed from the loop

• Devices making their own decisions and self adjusting, course correcting,

repairing themselves

• Collections of devices combined to act as optimized systems, systems of

systems sharing data and acting as an ecosystem of data and devices

• Machine learning will allow for new levels of autonomy

The Implications of Smart, Connected,

Distributed Intelligence



Monitoring, Control, Optimization and Autonomy

First level

Second level

Third level

Fourth level

Monitoring – devices provide data about operating environment, product usage and performance

Control – product functions can be controlled and personalized

Optimization - feedback loops from monitoring and control allow for improved efficiency, better performance, preventative maintenance, and diagnostics and repair

Autonomy -monitoring, control, and optimization allow for independent operation, coordination with other systems, interaction with the environment, personalization, replenishment, and self-diagnosis and repair.

Levels of IoT Functionality


“Products as a Service”

• Allow for redefined supply

chains and reconfigured

value chains.

• Connected products

become variable and

change as user’s needs

change.

• Physical objects become

vehicles or containers for

software-driven

functionality.

Products become flexible and adaptable


Implications for Value Chain

Functionality Benefit Implication Example

Monitoring Real-time mechanism to understand field performance/user needs, offer new capabilities

Boundaries of products and services extended

Field equipment informs manufacturer of needed service ahead of a breakdown bypassing field service contractor

Control Extend boundaries of human intervention through control of systems

Whether to make control capabilities part of product or offer as service

Nest thermostats allow remote changes to HVAC

Optimization Extend the performance of a fleet of objects or ecosystem of objects across manufacturers or technologies

Value based on knowledge/ sophisticationaround value chain, boundaries of processes

Laboratory equipment and supply company optimizes lab experiments across other instrument manufacturers equipment

Autonomy Reduced cost through independent operations

Machine learning algorithms deal with novel conditions

Autonomous devices in various applications (self driving cars, autonomous warehouse robots)


Role of Analytics

• Marketers will have unprecedented amounts of data to personalize

products and offerings and understand real time consumer interactions

with features

• Products will become access devices to consumer data, value will be

less in the physical device and more in the ways that consumers

interface with their data

• Manufacturers will need to leverage data exhaust from their applications

in order to optimize features or that run on their products as value will be

in features not in physical nature of devices


Where will analytics provide insight?

• Optimize features

• Embed new functionality

• Understand how consumers respond to products

• Monitor how consumers learn about products

• Embed messaging in products and the environment

• Monitor performance of advertising

• Monitor customer behaviors

• Monitor and optimize processes


Today’s Panel of Experts

Bruce Daley, John Spooner, Joanna Schloss, Ram Sangireddy


Bruce Daley

Principal Analyst

Tractica@brucedaley)

• Contributor to Tractica’s Automation & Robotics practice with

focus on artificial intelligence and machine learning for enterprise

applications

• Previously, vice president and principal analyst with Constellation

Research covering business research themes related to

customer relationship management, mobility, and infrastructure

• Also, founder of Great Divide, co-founder of Rabbit Ears Capital

Advisors, founder of Test Common Inc., founder of the Enterprise

Software Summit, and founder of The Siebel Observer, the

largest publication devoted to Siebel Systems

• Additionally, held consulting and management roles at Oracle

and Bain & Company

• Widely quoted industry expert in major publications including The

Wall Street Journal, The New York Times, The Financial Times,

The International Herald Tribune, IEEE Spectrum, The San Jose

Mercury News, and many more.

• Author of a soon-to-be-published book on data storage, Where

Knowledge is Power, Data is Wealth

• Holds a BA from Tufts University


POV – Bruce Daley

Not All Data is Created EquallyValue

0

5

10

15

20

25

2015 2016 2017 2018 2019 2020 2021

Data Growth in Volume

Data Growth

IDC expects data to grow 20 fold by 2020

Vo

lum

e

Value

More

MoreLess

Less

Deep Learning

Backups

Metadata

IoTSocial Media

Transactions

Homomorphic Encryption

My point of view – not all data is created equally. Some data is much more valuable than other data

and needs to be treated according to its worth.

Data Growth in Value


John Spooner

• Leads TBR’s research in the areas of IoT, connected devices and

mobility, including global adoption of connected devices for both

corporate and personal usage and the rising need for business-

oriented IoT solutions incorporating hardware, software and

services.

• Personal focus areas include mobility, end devices such as, tablets,

PCs; connected devices, such as smart watches; IoT solutions

based on hardware, software and services; hardware such as

processors and sensors and supply chains.

• Regularly quoted in publications including BusinessWeek,

Investor’s Business Daily and The Wall Street Journal.

• Prior to joining TBR in 2006, worked as a journalist providing in-

depth coverage of PCs and semiconductors for publications

ranging from PC Week to CNET News.com, reporting on

companies such as Intel, AMD, Dell, HP and Lenovo.

• Most recently a senior writer for Ziff Davis’ eWEEK magazine.

• Holds a B.A. in Politics and History from Curry College.

Vice President –

Platforms

Technology Business

Research@JohnSpoonerTBR


POV – John Spooner

IoT opportunity lives at the intersection of business and technology

NEW OUTCOMES

BUSINESS STRATEGY

IoT TECHNOLOGY

Business benefit comes when IoT, business strategy and technology meet, driving a new outcome


Joanna Schloss

• Service as business intelligence and analytics evangelist for

Dell software’s data and information management business.

• Areas of expertise include big data analytics, business

intelligence, business analytics, and data warehousing.

• With a blend of experience in both startup and G500

environments, has successfully launched a myriad of

products, from business-focused analytic applications to

data warehousing tools such as Business Objects Data

Services.

• As a Dell subject matter expert, she helps clients deal with

the challenges of managing multiple data platforms,

applications systems, and analytic environments.

Business Intelligence

and Analytics

Evangelist

Dell Software@Dell

19 Dell Annual Analyst Conference | 2015 | #DAAC

Build a scalable, all data strategy and transform the business

Comprehensive advanced analytics

Predictive Data miningNatural language

processingMachine learning

Verticals and tailored services

Healthcare MarketingManufacturin

gFinance Pharmaceutical

Agile and flexible all data framework

ETL offload

Enterprise data

warehouse Add speed for

analytics

Take out cost Add scale

for large queries

Scale across any data platform for any data challenge to lower TCO

Open, agnostic, modular approach to all data challenges

Data management

Data integration

Analytics Security

POV – Joanna Schloss


Ram Sangireddy

• Career spans more than 18 years at start-ups, Fortune 100

companies, and research institutions, with focus on Data Science,

Predictive Analytics, Big Data, and Hi-Performance Computing,

across the functions of Product Management, Business Strategy,

Solution Marketing, and R&D for Technology Innovation.

• Product Leader for Analytics and also Chief Data Scientist at Vitria,

a leading global provider of Enterprise Operational Intelligence (OI)

platform for real-time big data streaming analytics.

• Products focus on IoT Analytics across Predictive Maintenance,

Supply/Demand Optimization, KPI Analysis, etc.

• Prior successes included development of cutting-edge analytics

products for marketing, personalization, inventory management,

and other problems across Commerce verticals.

• Earned MBA degree from the Kellogg School of Management

(Northwestern University), and a PhD degree in Computer

Engineering from the Iowa State University, with a Research

Excellence Award.

Director of Product

Management,

Predictive & Analytics

Vitria Technology @VitriaTech


How Analytics Generates Value in IoTPOV – Ram Sangireddy

Revenue Growth

Secure & Safe Environment

Operational Efficiency

Industrial Enterprise Consumer

“My Life Style”

Predictive 1:1 Marketing

Customer Engagement

Demand/SupplyOptimization

Fraud DetectionHealth

MonitoringCyber Security

Smart HomePredictive

Maintenance

AssetOptimizationOutage

Mgmt.

Industrial Enterprise Consumer


Fast Analytics on IoT Streaming DataPOV – Ram Sangireddy


Thank you to our sponsors/producers

www.computer.org/itpro

www.informationdevelopmentworld.com

www.thecontentwrangler.com

http://www.tbri.com

http://www.henrystewartpublications.com/ama

http://www.computer.org/itpro

http://www.informationdevelopmentworld.com/

http://www.thecontentwrangler.com/

http://www.tbri.com/



Applied Marketing Analytics


Applied Marketing Analytics is the major new professional journal publishing in-depth, peer-

reviewed articles on all aspects of marketing analytics. Guided by an expert Editorial Board

each quarterly 100-page issue – published both in print and online – features detailed,

practical articles written by and for marketing analytics professionals on innovative thinking,

strategies, techniques, software and applied research showing how major brands are

collecting, interpreting and acting on marketing analytics, both around the world and across

varied digital and non-digital marketing channels.

10% off - use code “Earley” when you subscribe.

To subscribe with the discount, either

Email:

Simon Beckett [email protected]

Or call:

800-633-4931 (in the US/Canada)

+44 207 092 3465 (in the rest of the world)


mailto:[email protected]


For more information

• IT Professional Magazine - www.computer.org/itpro Next issue focuses on Analytics

• Computing Edge http://www.computer.org/web/computingedge (highlights of IEEE

publications)

• Library of articles on IoT http://www.libelium.com/top_50_iot_sensor_applications_ranking/

• Classes of IoT applications http://postscapes.com/internet-of-things-examples/

• Infographc explaining components of IoT http://postscapes.com/what-exactly-is-the-

internet-of-things-infographic

• IoT Toolkit http://postscapes.com/what-exactly-is-the-internet-of-things-infographic

www.computer.org/itpro http://postscapes.com


http://www.computer.org/web/computingedge

http://www.libelium.com/top_50_iot_sensor_applications_ranking/

http://postscapes.com/internet-of-things-examples/

http://postscapes.com/what-exactly-is-the-internet-of-things-infographic

http://postscapes.com/what-exactly-is-the-internet-of-things-infographic


http://postscapes.com/


Metrics for Measuring the Customer Experience and Digital

Marketing Success

Asuman SuenbuelSenior Technical Advisor,

SAP

Gary ParillisChief Research Officer,

Greenwich Associates

Pratibha VuppuluriFounder & Principal,

KeyInsite

Stuart WilliamsVice President,

Technology

Business Research

Next Session: June 10th 1pm EDT


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organizations establish a strong

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Specializing in making information more findable,

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innovation, enhance customer experience, and

improve operational efficiency and effectiveness.

Realize your digital transformation vision

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www.earley.com

Seth Earley, CEO

Email: [email protected]

Twitter: @sethearley

LinkedIn: www.linkedin.com/in/sethearley

mailto:[email protected]

http://www.linkedin.com/in/sethearley


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