technology strategies for big data analytics · analytics • a flexible architecture that supports...

Copyright © 2012, SAS Institute Inc. All rights reserved.

Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice


VOLUME VARIETY VELOCITY VALUE

TODAY THE FUTURE

DA

TA S

IZE

THRIVING IN THE BIG DATA ERA


BIG DATA ANALYTICS AND COMPETITIVE ADVANTAGE

Event Stream 6M Tweets / Hour

3M Facebook Links Shared / Hour 30M Facebook Comments / Hour

Millions of New Web Pages / Hour World Wide Weather Data

You

Observe

Transactions

Knowledge

Web Content

Orient (Analytics)

Decide

Act

Competition

Observe

Transactions

Knowledge Orient (Analytics)

Decide

Act

YOUR COMPETITIVE ADVANTAGE

Time Market Opportunity

Observe Orient

Orient

Act

Act


Technology Checklist for

Big Data Analytics

•  A flexible architecture that supports many data types and usage patterns

•  A “stream it, score it, store it” capability to optimize data relevance

•  In-memory infrastructure capable of processing entire data sets

•  Real-time visualization and advanced analytics to accelerate understanding and action


REQUIRES ENTERPRISE ARCHITECTURE APPROACH

BIG DATA ANALYTICS

MARKETING

IN-MEMORY

EDW

ADW

SALES

FINANCE

SUPPLY CHAIN

RISK

HR


1. Acquire 2. Determine Relevance

3. Store

Trash Cache Storage

HOW DO WE MANAGE DATA IN THE PHYSICAL WORLD?


Data Acquisition Data Transformations

Data Normalization

Queries

Systems Users

Relevance is traditionally determined at query time . . .

“Acquire, Store, Analyze”

A Big Data Analytics strategy requires a new approach . . . “Stream it, Score it, Store it”

DATA


HOW DO WE MANAGE INFORMATION IN THE IT WORLD?


INFORMATION MANAGEMENT

DECISIONS / ACTIONS / DATA

RAW RELEVANT DATA

LOW COST STORAGE

ENTERPRISE STREAM IT, SCORE IT, STORE IT


MODEL FACTORY SOURCE /

OPERATIONAL SYSTEMS

MODEL MANAGEMENT

MODEL DEVELOPMENT

DATA PREPARATION

MODEL DEPLOYMENT

THE NEXT STEP

CLOSED-LOOP ANALYTICS DRIVE UNDERSTANDING AND ACTION


CUSTOMER CASE STUDY TRADITIONAL ANALYTICS PROCESS

DATA EXPLORATION

MODEL DEVELOPMENT

MODEL DEPLOYMENT

4.5 HRS


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CUSTOMER CASE STUDY HIGH-PERFORMANCE ANALYTICS PROCESS

60 SECONDS


ACCELERATES UNDERSTANDING AND ACTION IN-MEMORY

ARCHITECTURE


Billions of Purchase

Transactions

Tailored and Real-time Marketing Campaigns

HIGH-PERFORMANCE ANALYTICS - CUSTOMER SEGMENTATION


CUSTOMER CASE STUDY TRADITIONAL ANALYTICS PROCESS

DATA EXPLORATION

MODEL DEVELOPMENT

MODEL DEPLOYMENT

167 Hours


84 SECONDS

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167 Hours CUSTOMER

CASE STUDY IN-MEMORY ANALYTICS PROCESS

Bottom-line Impact: Tens of Millions of

Dollars

DA

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Technology Checklist for

Big Data Analytics

ü  A flexible architecture that supports many data types and usage patterns

ü  A “stream it, score it, store it” capability to optimize data relevance

ü  In-memory infrastructure capable of processing entire data sets

ü  Real-time visualization and advanced analytics to accelerate understanding and action


BEST PRACTICE Analytic Assessment Workshop

Overview: Two-day on-site discovery session focused on understanding the client’s business and IT objectives, key initiatives, existing information management and analytics architecture, top challenges, and priorities.

Process: •  Review current business requirements, timeframes, critical success factors, and key

business metrics (e.g. customer retention, customer acquisition). •  Review operational data sources to support business priorities. •  Review analytical priorities, strategy, process, and gaps.

Deliverables: •  Technology roadmap to optimize the client’s current and future IT-enabled analytical

process. •  Projected high-level ROI analysis resulting from proposed analytical architecture and

process improvements.


[email protected]

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