ANALYTICS IN ACTION TO DRIVE BUSINESS INNOVATION€¦ · Copyright © 2016, SAS Institute Inc. All...

Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .

ANALYTICS IN ACTION

TO DRIVE BUSINESS INNOVATION

SAS Roadshow 20161 Marzo, Milano

3 Marzo, Roma



DATA IS THE FOUNDATION

Regardless of the

• Amount

• Complexity

• Pace

It is NOT insurmountable


WHAT WE DO WITH DATA: DISCOVERY

• Raw material

• Creativity

• Prototyping


HOW WE OPERATIONALIZE THE RESULTS: DEPLOYMENT

• Finished product

• Governance

• Enterprise-ready


SAS ANALYTICS IN ACTION

SAS is Uniquely Positioned

Analytics in ActionData

DeploymentDiscovery

• To Enable and Empower your

Analytics in Action

• To BRIDGE the gaps between Data,

Discovery and Deployment

• To maximize value from your…


RAPIDLY DEPLOY ANALYTICS

SCALE DATA AND ANALYTICS

GROW A CULTURE OF INNOVATION

ANALYZE ALLAVAILABLE DATA

MODERNIZE LEGACY BI STRATEGY

Strategic needs…

Data

Discovery Deployment


SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)




AIA TO DRIVE BUSINESS INNOVATION

Enterprise Innovation


INTERNET OF

THINGSIOT CHARACTERISTICS

• CONNECTS the physical world around itself to

other things, the Internet, a network, etc.

• COMPUTES by processing the inputs it collects or

receives, and making those inputs meaningful to

other systems.

• COMMUNICATES with a unique identity on the

network, with other things, and the workforce

• REDEFINES OUR ENGAGEMENT with the

physical world – smart , efficient & sustainable

• OBJECTS ARE BECOMING EMBEDDED with

sensors and gaining the ability to communicate.

The resulting information networks promise to

create new business models, improve business

processes & reduce costs risks.

WHAT IMPACT


INTERNET OF

THINGSELEMENTS OF AN IOT MODEL

© 2014 Cisco and/or its affiliates






BRIDGE THE GAP

Data Management for Analytics

0

IoT

Operational

Unstructured

Integration with Open Source

Streaming Analytics

Approachable Analytics

Advanced AnalyticsData Sources

DATA PREPARATION

Web Decisions at Scale

http://video.na.sas.com/video.aspx?index=14560_1111668_ugc_sww_dataloader_hadoop


DATA MANAGEMENT

FOR ANALYTICS• The same, and better

IT

Streaming data

Hadoop

2

EDW

ETL

OperationalData Managementand Data Quality

1

3


Data mart

Advanced

Analytics

Single Version of the Truth

Operational

data sources

5In-Hadoop Data Management

& Analytics

Business

Accessible data discovery

and preparation4

Business

Unstructured

data

Sensors,

smart meters,

IoT

Web &

social media


Brand sentiment

Product strategy

Maximum asset utilization

APPROACH SHIFT MERGING THE TRADITIONAL AND BIG DATA APPROACHES

Traditional Approach

Rigid & Repetitive Analysis

Business users

determine what

question to ask

IT structures the

data to answer

that question

Big Data Approach

Iterative & Exploratory Analysis

IT delivers a

platform to enable

creative discovery

Business users explore

what questions could be

asked

Monthly sales reports

Profitability analysis

Customer surveys


Bus Mgrs

CHALLENGES Impacts on Time to Value

BUSINESS

MANAGER

IT

SYSTEMS /

MANAGEM

ENT

BUSINESS

ANALYST

Data

Quality/Integration

Issues

Hadoop Skill

Shortages

No Access to Data In

Hadoop

Business

Analyst

Data

Management

Specialist

Data Scientist

C-Level

Inefficiencies

Lost Trust

Re-Work


Manage data inside

Hadoop

Reduce Complexity of Hadoop

Accelerate User

adoption

SAS ENABLES ORGANIZATIONS TO…


DATA MANAGEMENT

FOR ANALYTICSDIFFERENTIATORS

Hadoop for

dummies

Keep the

lake clean

The Perfect

Love Story

EP


VALUE Close gaps in the Data to decision Lifecycle

BUSINESS

MANAGER

TIME TO DECISION

IT SYSTEMS /

MANAGEMENT

DATA SCIENTIST

/ STATISTICIAN

BUSINESS

ANALYST

VALUE CAPTURED

Data Quality

Issues

Hadoop Skill

Shortages

No Access to

Data In

Hadoop

Seamless

Movement of

Data






… it is about applying analytics while the data is in motion


STREAMING

ANALYTICSMARKET POTENTIAL

Potential economic

impact of IoT in 2025

$11 Trillion

11% of world

economy


STREAMING

ANALYTICSTHE IMPACT OF STREAMING DATA

Research Report - Real-Time Analytics and the Internet of Things

http://aberdeen.com/research/10622/10622-rr-streaming-analytics-iot/content.aspx


STREAMING

ANALYTICSWHY IS THIS IMPORTANT?

Edge of

Network

Operational Apps

Operational Data Store

Databases

CONNECTEDSensor

Readings

Enterprise Data Warehouse

Change in Mindset!

Gateways


Edge

Analytics

In-Motion

Analytics

At-Rest

Analytics

Network Systems, Surveillance

Monitor equipment on the

platform for failures and safety

issues, and take action.

Identify fraudulent

transactions and be

alerted in real-time.

Intelligently integrate customer

information with real-time

streaming data

Strategic Data IntegrationTransactions, Logs, Clickstreams


SAS®

EVENT

STREAM

PROCESSING

CONCEPTUAL OVERVIEW

SAS-generated

Insights

Event Actions

SAS In-Memory

SAS®

Event Stream Processing Model

Continuous

Query

Pu

blish

Su

bscri

be

Streaming Events

Enrichment

Data

Analytic

Models

Business

Rules


CONCEPTUAL OVERVIEW

SAS-generated

Insights

Enrichment

Data

Event Actions

SAS In-Memory

SAS®


Continuous

Query

Pu

blish

Su

bscri

be

Streaming Events

Analytic

Models

Business

RulesEnrichment

Data

Analytic

Models

Business

Rules

SAS®

EVENT

STREAM

PROCESSING


CONCEPTUAL OVERVIEW

SAS-generated

Insights

Enrichment

Data

Event Actions

SAS In-Memory

SAS®


Continuous

Query

Pu

blish

Su

bscri

be

Streaming Events

Analytic

ModelsBusiness

Rules

Low-latency assessment of high-volume, high-velocity data streams to detect, filter, aggregate & analyze

SAS®

EVENT

STREAM

PROCESSING


STREAMING

ANALYTICSENGINEERED FOR FAST AND ADAPTIVE ACTION

Detect and monitor

events of interest and

trigger appropriate real-

time actions & alerts

TAKE REAL TIME

ACTION

Continuous loading of relevant streaming data for in-depth

analytics

FOCUS ON RELEVANT

DATA

Apply multi-phase

analytics to determine

events that can benefit

from deeper and more

complex analysis

APPLY MULTI-PHASE

ANALYTICS






APPROACHABLE

ANALYTICSTAKE ADVANTAGE OF THE SCIENCE OF DATA

Source: KPMG International 2015

Players need to gain deep insight into an

individual’s consumption patterns and

choices. Ownership of data is becoming a

characteristic of the dominant player:

“information about a transaction is more

valuable than the transaction itself”

While customer behaviours drive the need for

innovation, new technologies provide the tools


APPROACHABLE

ANALYTICSBridging the gap between IT and business

Requirements-based

Robust

Integrate and Re-use

Top-down Approach

Opportunity-based

Agile and Exploratory

Immediate Use

Bottom-up Experiments

Business Intelligence

and Analytics


APPROACHABLE

ANALYTICS

Barriers to the adoption of analytics

Scarcity of analytical skillsThe need to grow analytical talent from within

Disjointed, inefficient workflowHow can you fail fast & learn to refine quickly

Tools that aren’t right for the jobLearning curve to create, share and collaborate


APPROACHABLE

ANALYTICSData visualization – why it matters??

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Domestic $1,983 $2,343 $2,593 $2,283 $2,574 $2,838 $2,382 $2,634 $2,938 $2,739 $2,983 $3,493

International $574 $636 $673 $593 $644 $679 $593 $139 $599 $583 $602 $690


WHERE TO START?

Do not replace legacy processes

(yet)

Introduce approachable analytics

Give access to all the data

Identify your Citizen Data Scientists

and modelers

Challenge

Share!

Legacy Processes Approachable Analytics


APPROACHABLE

ANALYTICSTAKE ADVANTAGE OF ALL THE INVOLVED ROLES

To bring value and service in an analytical culture

where the actors are the “Citizen Data Scientist”Data Scientist Superheroe


Scalable to all your data

Interactive and Visual Investigation

Analytical Data Exploration

Analytical Model Prototyping

APPROACHABLE

ANALYTICSWhat SAS provides - overview

Approachable Analyticswith SAS

®


APPROACHABLE

ANALYTICSExploration and modeling – what does it bring?

Influence Relationships

ContributionsData driven explorationEliminating

guesswork with

predictive analytics

Increased

understanding


What makes it approachableAPPROACHABLE

ANALYTICS

Modern, interactive, easy-to-use data manipulation, reporting, exploration and modeling

Communication of results via Web, Office & Mobile

Deployment on-premise or in the cloud


APPROACHABLE

ANALYTICS

ACT

Now we’re ready to

take decisions out

of this!






DECISIONS

DECISIONS


Speed

Agility

Quality

Accuracy

THE PERCEIVED TRADE-OFF


DECISIONS

AT SCALETRENDS: FROM STRATEGY TO ACTION

STRATEGIC OPERATIONALMARKETS

GLOBAL

OPERATIONS

PRODUCT

LINES

PRICING

DECISIONS


DECISIONS

AT SCALETRENDS: THE SCIENCE OF DECISION MAKING

Making the right

decision with the

right information at

the right time.

Manage decision

assets and learn

from outcomes.

Decision Management

Pervasive Analytics

Business Rules

Growing Data


• Using ALL the Relevant Data

• Creating More Attributes

• More Models

• More Granular Segments

• More Predictive Machine

Learning Algorithms

• Model Tournaments

• Enable Non-Technical

Users

• Integration

• Embedded Analytics

• Move Insights Closer to the

Decision Maker

• Combine Models with

Business Rules

WHAT IS AT SCALE?


Suppose we have the following ...

50% Customers accept offer

50% Customers don’t accept offer

We have/know ages and group level

50%

50%

Age≤ 29 Age> 29

30%

70%

60%

40%

Low

Med Top

20%

80%

60%

40%

START WITH EFFICIENT MODELING TOOLS: FROM DECISION TREES…..


… TO RANDOM FORESTS!

Leverage on boosting many decision trees to get a better representation of reality


!!!???!!!

The ‘IT’ folks The ‘Analytics’

folks

I just built 850 new

models. When can

you put them into

production?

MAKE THE INTEGRATION GO SMOOTHLYDECISIONS AT

SCALE


Data Environment

Score

Output Rules

Models Rules

SCORE

CODE

db compliant

instructions

.99. 1.0, 500

DECISIONS AT

SCALEOPERATIONALIZE DECISION MAKING




Visual Analytics/Visual Statistics + Data Loader for Hadoop


Advanced Analytics for automated decisions and model building

New Forecast Server Client

SAS Contextual Analysis

Event Stream Processing

VISITA LE POSTAZIONI DEMO


GRAZIE

Angelo Tenconi - Analytics & Technology Director

Brad Hathaway - Regional Advisory Technical Manager Data Management

Maria Cristina Conti - Senior Business Solutions Manager

www.sas.com/italy

http://www.youtube.com/user/SASsoftware

http://www.youtube.com/user/SASsoftware

http://it.linkedin.com/pub/fabrizio-antonio-ferrando/12/637/b5b

http://it.linkedin.com/pub/fabrizio-antonio-ferrando/12/637/b5b

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ANALYTICS IN ACTION TO DRIVE BUSINESS INNOVATION€¦ · Copyright © 2016, SAS Institute Inc. All...

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