SAS Data Management for Analytics: potenzia le tue analisi e sostieni l’innovazione

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


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 ANALYTICSTHE SAME, AND BETTER

IT

Streaming data

Hadoop

2

EDW

ETL

OperationalData Managementand Data Quality

1

3

Data Management for Analytics

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


BIG DATA IS EVERYWHERE


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

WHAT

• 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.

IMPACT


INTERNET OF

THINGSELEMENTS OF AN IOT MODEL

© 2014 Cisco and/or its affiliates


STREAMING

ANALYTICSMARKET POTENTIAL

Potential economic

impact of IoT in 2025

$11 Trillion

11% of world

economy


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


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

SAS Data Management for Analytics: potenzia le tue analisi e sostieni l’innovazione

Data & Analytics

Transcript of SAS Data Management for Analytics: potenzia le tue analisi e sostieni l’innovazione