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The Next Big Thing in the Internet of Things: 


Real-Time Big Data Analytics"

Mike Gualtieri


Principal Analyst


Forrester Research

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#IoTAnalytics"

Dale Skeen


CTO & Co-Founder


Vitria Technology

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(2)

Momentum is strongest for streaming and predictive

analytics, but underadopted.

10%

13%

16%

18%

21%

21%

24%

29%

33%

37%

49%

50%

56%

58%

81%

15%

21%

20%

20%

27%

32%

19%

33%

42%

35%

50%

54%

59%

57%

77%

Non Modeled Data Exploration And

Streaming Analytics

Advanced Visualization

Text Analytics

Metadata Generated Analytics

Predictive Analytics

Search/Interactive Discovery

Location Analytics

Process Analytics

Olap

Embedded Analytics

Performance analytics

Web Analytics

Dashboard

Reporting

2014

2012

“What is your firm's/business unit's current use of the following technologies?”

Base: : Forrsights BI/Big Data Survey, Q3 2012: 634 Business Intelligence users and planners

Base: : Forrsights BI/Big Data Survey, Q2 2014: 452 Tech decision makers

+62%

(3)
(4)

Applications are blind – use sensors to make

them see.

(5)

© 2014 Forrester Research, Inc. Reproduction Prohibited 5

If you can measure it and it’s connected

to the Internet, then you can use it

(6)

© 2014 Forrester Research, Inc. Reproduction Prohibited 6

Ubiquitous computing

Everyware

Ambient intelligence

Smart world

Connected world

Cognitive computing

Pervasive computing

Physical computing

Context-aware pervasive systems

Machine-to-machine

Industrial Internet

Internet of everything

Thingternet

(7)
(8)

Trend

Big Data means all your enterprise

data + IoT data

(9)

© 2014 Forrester Research, Inc. Reproduction Prohibited 9

30%

7%

12%

21%

30%

9%

8%

14%

35%

34%

The term “big data”

is very confusing; not

sure what it means

It’s a bunch of hype

with little substance

and few new ideas

It’s about new

technologies that

allow us to handle

more data

It’s an extension of

existing analytics and

BI practices suited

for data that is larger

or faster than we are

used to

It’s a whole new way

of thinking about the

value in data that

requires new

analytics and

leverages some new

technologies

Business Decision Makers

Technology Decision Makers

Base: 452 North American technology decision-makers Respondents answering “don’t know” are not shown Source: Global Data and Analytics Survey, 2014

Base: 249 North American business decision-makers Respondents answering “don’t know” are not shown Source: Global Data and Analytics Survey, 2014

Most technology decision makers get it; 30% of

business decision makers are confused.

(10)

11

00

10

011

011

00

1

01001001

101

1001

01001

1001

101

101

01001001

101

1001

Historical

Transactions

Customer data

Ops

(11)
(12)

Gather all your data to breakdown silos and

prepare it for deeper analysis.

(13)

Now, analyze the heck out of it - every which way.

(14)
(15)

Trend

IoT data is flowing by, and value is

slipping away.

(16)

Big data isn’t just a story about lakes

anymore . . .

(17)

. . . it’s about streams and raging torrents

of information.

(18)

© 2014 Forrester Research, Inc. Reproduction Prohibited 18

Ingested and stored in a data

warehouse

Multiple sources of data

Analytics run weekly, daily, or

hourly

Insights used to modify future

actions

Analyzing data as streams and lakes

Streams

Lakes

Does collect data in realtime

Multiple sources of data

Immediately fed to streaming

application

Analytics run continuously, second and

subsecond responses

Insights used to proactively adjust

immediate

and

future actions

(19)
(20)

Trend

Streaming data is flowing by, and value

is slipping away.

(21)

DEFINITION

FORRESTER

Software that can filter, aggregate, enrich, and

analyze a high throughput of data from

disparate live data sources to visualize business

in real time, detect urgent situations, and

(22)

Successful streaming analytics

programs bring disparate data sources

together.

(23)

© 2014 Forrester Research, Inc. Reproduction Prohibited 23

The constructs of streaming applications are

different from conventional applications

Filtering

Aggregation/correlation

Enrichment

Location/motion

Time windows

Temporal patterns

Familiar

Unfamiliar

(24)

© 2014 Forrester Research, Inc. Reproduction Prohibited 24

Data

Warehouse

Historical

Analytics

And, so is the application architecture

Push notifications

Email alerts

HTML5

Dashboards/

visualizations

APIs

Streaming

Analytics

Application

Platform

Stream 2

Backend

Database

Traditional

App

API calls/responses

Stream 1

Stream 3

(25)

© 2014 Forrester Research, Inc. Reproduction Prohibited 25

Source: Screenshot of Vitria OI from demo

(26)

© 2014 Forrester Research, Inc. Reproduction Prohibited 26

Streaming analytics platforms enable a whole

new class of applications

Detect , adapt, and act applications require

high-performance data access on the front-end and the

back-end.

Provide visual development tools to create streaming

applications

Reduce development time by simplifying the

architectural concerns of performance, scalability, and

availability.

(27)
(28)

© 2014 Forrester Research, Inc. Reproduction Prohibited 28

Streaming analytics can uniquely enable

three new tiers of app functionality

(29)

Stop

What if you knew your customer was near your

store on a sunny day?

(30)

© 2014 Forrester Research, Inc. Reproduction Prohibited 30

NFL

Sensors in every players’ shoulder pads will

change the way we analyze and watch the game

(31)

How can Spotify use accelerometer data

generated by customers while they listen?

(32)
(33)

Trend

The velocity of business requires

streaming analytics.

(34)
(35)

What kinds of apps could

you develop if could

predict, detect and adapt

to what is happening in

your business

(36)

Thank you

Mike Gualtieri

References

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