bern 10th of may 2016 michael probst - sas institutec o p y r ig ht © 201 5, sas in stitute in c....

C opyr i ght © 2013, SAS Inst itute Inc . All r ights r eserved.

THE ANALYTICS OF THINGS

BERN 10TH OF MAY 2016

MICHAEL PROBST


Is there a problem?

Is there a prediction?

Is there a solution?

C o p y r ig ht © 201 5, SAS In st i tute In c. A l l r ig hts r ese rve d.

nternet

OF

hings

I

T

Healthcare

Connected Car/

Transportation

Communications

Energy

Connected CustomerSmart Cities and Homes

Surveillance

Building

Management

Agriculture

M2M & Wireless

Sensor Network

Retail

Manufacturing


IOT ANALYTICS AS A KEY ENABLER

“IoT creates a big data problem that analytics must solve —

transform huge volumes of data into a small quantity of

usable/actionable information.”

- Peter Middleton, Gartner- Peter Middleton, Gartner


THE IOT PROMISE

New Business Models

Quality of Life

Early Warnings

Efficiencies

New Value


THE IOT PROMISE

AnalyticsDATAB I G

IoT High Velocity

Complex

Large

New Business Models

Quality of Life

Early Warnings

Efficiencies

New

Value


THE IOT PROMISE

AnalyticsDATAB I G

IOT High Velocity

Complex

Large

New Business Models

Quality of Life

Early Warnings

Efficiencies

New

Value

Act

Understand ActSense


Connected Service

Improving service

operations through

predictive maintenance.

SAS IoT Analytics

provides a global

healthcare

manufacturer with new

insights that proactively

identify equipment

issues, positively

impacting customer

satisfaction and service

profitability.

SAS IoT Analytics

quickly detect and alert

of leaks and abnormal

water usage, providing

the city and their

citizens valuable

information that help

them use water more

wisely.

A national US retailer

is using analytical

software from SAS to

better understand and

enhance its customers'

shopping experience,

while helping to

increase the retailer's

overall profitability.

Connected Retailer Connected Cities Connected Energy

Improving profitability

and customer service

by leveraging data

from smart meters,

applying SAS IoT

Analytics, to more

accurately predict both

short and long term

demand.

INTERNET

OF THINGSINTELLIGENCE FOR THE CONNECTED WORLD


INTERNET

OF THINGSCHALLENGES

Security (Risks!)

Analytics (3V)

Technology (Integration)

Use Case development

Challenges


INTERNET

OF THINGSSENSORS

°

V/A/Ω

Lat/Lng

bar

Wind/Speed

Humidity

Frequency

km/h mph

G

dB

open/closed

on/off

Lumen

°C/F

Sensors


on/off

Event

INTERNET

OF THINGSEVENT OR CONSTANT MEASURING


INTERNET

OF THINGSEVENT OR CONSTANT MEASURING

Permanent

stream of data

bar


INTERNET

OF THINGSACTUATORS

bar

on/off

Actuator

V/A/Ω Switch

Regulate pressure

Regulate current/voltage/resistance

...


Streaming Analytics

Realtime Decisions

ANALYTICS

OF THINGSDATA STREAMS AND ANALYTICS

Other actions

(eg. API Call)

Complex rules

Peer to Peer (direct M2M)

Dashboard Operator

SAS/Analytics Data Scientist

Enterprise Data

Datastore(eg. Hadoop)

ActuatorSensor


How to accelerate the data analysis?

In-Memory Analytics

Where to go with the all the data?

Hadoop

Analyse and act close to the

sensor and actuator?

Event Stream

Processing

How to monitor the

data streams?

ExplorativeVisualisation

How to manage models

effectively?

Model Management

How to improvethe data analysis?

MachineLearning

ANALYTICS

OF THINGSIOT CAPABILITIES

acceleratescale dynamizie actFind/explore manage


ANALYTICS

OF THINGSIOT STRATEGY – DATA DRIVEN APPROACH

ActuatorSensorOther actions

(eg. API Call)

SAS/Analy tics

Streaming Analy tics

Realtime Decisions

Enterprise Data

Datastore(z.B. Hadoop)

Enrich

Collect

Exploration Analytics

„ Engineer“ Data Scientist

Collaboration

Easy data access Fast and scalable in-Memory technologyHadoop

based data management


ANALYTICS

OF THINGSANALYTICS LIFECYLCE

Discovery Deployment

Iterative

Leading Edge

Experiments

Fail Fast

Data Science

Interactive

New data

Innovation

Governed

Deep Learning

Robust

Automated

Regulated

Actions

Consistent

Documented

Decisions

Prepare

Explore

Model

Implement

Act

Evaluate

Ask

Data

C ompany C onfi denti al - For Internal U se OnlyC opyr i ght © 2016, SAS Inst itute Inc . All r ights r eserved.

Deploy

ANALYTICS

OF THINGS

IOT ANALYTICS LIFECYCLESENSE – UNDERSTAND - ACT

ETL

Data Data Storage

Alerts / Reports/ Decisioning

De

plo

y

f

IoT Data Intelligent Filter / Transform

Streaming Model Execution


ANALYTICS

OF THINGSFROM THE LAB TO THE FACTORY

Discovery Deployment

Iterative

Leading Edge

Experiments

Fail Fast

Data Science

Interactive

New data

Innovation

Governed

Deep Learning

Robust

Automated

Regulated

Actions

Consistent

Documented

Decisions

Prepare

Explore

Model

Implement

Act

Evaluate

Ask

IoT Analytics FactoryIoT Analytics Lab

Exploration

Analysis

Fast model development

Quick validation

Model Deployment

Performance Management

Stream-Processing

Decisions and actions

Identify and evaluate Operationalize


THANK YOU

http://www.sas.com/

http://www.sas.com/

bern 10th of may 2016 michael probst - sas institutec o p y r ig ht © 201 5, sas in stitute in c....

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