Endeca Introduction to Big Data Analytics...Introduction Business vs. IT Big Data Initiatives...

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Copyright © 2012, Oracle and/or its affiliates. All rights reserved. 1 Endeca Introduction to Big Data Analytics Overview May 8, 2013

Transcript of Endeca Introduction to Big Data Analytics...Introduction Business vs. IT Big Data Initiatives...

Page 1: Endeca Introduction to Big Data Analytics...Introduction Business vs. IT Big Data Initiatives –What Technologies are being used? Projects underway? –Familiarity with Big Data -

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Endeca Introduction to Big Data Analytics

Overview

May 8, 2013

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Agenda Introduction

Overview – Analytics for Big Data

Overview – Endeca Information Discovery

Q & A

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Introduction

Business vs. IT

Big Data Initiatives

– What Technologies are being used? Projects underway?

– Familiarity with Big Data - What is Big Data? What technologies

support it?

– Terms like Hadoop, HDFS

Familiarity with Endeca

Your Goals for this Session

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4 “V”s of Big Data

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Sample Big Data flow

Co

llect R

ea

l Tim

e W

eb

Lo

g E

ntrie

s

Acquire Organize Analyze Decide Source

Customer Records

from Various Silos

For Identified

customers, track

bank web pages

visited

Explore current

Customer

Information

Ba

tch

Arc

hiv

ing

of

We

b L

og

En

tries

Products of Interest

Su

mm

ariz

e

Cu

sto

me

r rela

ted

Info

rma

tion fo

r

An

aly

tics

Historical metrics

Monitor and track

Identified metrics

of interest

Customer Monitoring

Recommend Action

Data

Transformation

Track Life Events

Identify

Statistical

Outliers

Alert Anomalies

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Big Data Software Components

No

SQ

L D

ata

ba

se

Acquire Organize Analyze Decide Source

Customer Records

from Various Silos

For Identified

customers, track

bank web pages

visited

Ha

do

op

Da

ta W

are

ho

use

Business

Intelligence

Advanced

Analytics

Decisioning

Oracle

Endeca

Information

Discovery

Connectivity

Social Media Monitoring

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Big Data Software Components

No

SQ

L D

ata

ba

se

Acquire Organize Analyze Decide Source

Customer Records

from Various Silos

For Identified

customers, track

bank web pages

visited

Ha

do

op

Da

ta W

are

ho

use

Business

Intelligence

Advanced

Analytics

Connectivity

Big Data

Appliance Exadata

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Endeca Information Discovery

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Data Volume, Variety Growth Presents New Challenges

More and

Different Data

Rapid growth in

structured and unstructured,

internal and external data

More

Unanticipated

Questions

Self-service ability to explore

data, add new data, and construct

analysis as required

More Change and

Uncertainty

Unanticipated business needs

can’t be addressed by predefined

models, dashboards, and reports

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Customers Workforce

Dialogues Contain Critical, Untapped Insights

3rd Parties The Public

“Competitive pricing is

15% lower than yours

and they offer

discounted shipping.”

“RT @finwiz. Checkout

video http://bit.ly/wLe6Y2

Sweet!”

“Why should I pay a

checking fee if other

banks don’t charge

one?”

“She saved the project

with strong leadership

& building trust with the

customer..”

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New Insights Drive New Opportunities

Revenue & margin

Operational efficiency.

Better partnerships

Product positioning.

• Improved Targeting

• Increased Customer

Satisfaction

• Brand Awareness &

Perception

Impact

• Employee

Satisfaction

• Improved

Performance

• Hiring & Retention

of Top Talent

• Improved Operational

Efficiency

• Better Partnerships

• Product Awareness

• Improved Brand

Perception

• Insight into Topics

and Trends

• Public Awareness

Customers Workforce

The Public 3rd Parties

“ ”

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Challenge – Difficult to Harness Unstructured Data

Diverse sources, spread out everywhere

Unpredictable structure, impossible to model

Growing exponentially, constantly changing

Full of noise, poor data quality

Existing solutions are not enough

Social Media

Websites

Big Data

Content Systems,

Files, Email

Text in Enterprise

Applications

80% of the world’s information is unstructured

Unstructured Data

80%

2005 2010 2015

Volu

me o

f D

ata

Genera

ted

Structured Data

20%

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Unlocking the Value of Unstructured Data

Who, What, When,

Where?

Business

Intelligence Why, How?

Information

Discovery

Structured & Unstructured Analysis

Answer All the Questions Using All the Relevant Data

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Extend Business Analytics with Unstructured Data

Introducing Oracle Endeca Information Discovery

Oracle Business Intelligence Best platform for integrated ROLAP and MOLAP

BI Server + Essbase Common Enterprise Information Model

OLTP & ODS

Systems

Enterprise Applications

(Oracle, SAP, Others)

Data Warehouse

& Data Marts

Structured Data

Social Media Content Systems,

Files, Email

Websites

Unstructured Data

Big Data

Oracle Endeca Information Discovery Best platform for Unstructured Analytics

Endeca Server Hybrid Search/Analytical Database

Flexible Data Model

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Oracle Endeca Information Discovery Understand the complete picture with context from any source.

Transactions

TxnID ProductI

D Category

Amoun

t

12324 506 Mountain

Bike 499

12325 507 Road Bike 1399

BI Star Schemas

Metrics: Margin = Sales - Cost, …

Dimensions: Customer, Product, …

“The new 506 from

Acme is a solid road

bike. 3.5 stars.”

Websites

Product Reviews

“Thinking about buying a

new road bike. Anyone

know anything about the

Acme 506?”

Social Media

Customer Comments Enterprise Applications

Unstructured Text Fields

“Customer reported

receiving wheel with

bent spokes…”

Marketing Strategy

Document

Chapter 1. …

Enterprise Content System

MS Office Documents, Internal Notes

“Why did sales fall?

Was it bad reviews? An

unsuccessful marketing

campaign? Quality

issues?”

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Unstructured Analytics

Oracle Endeca Information Discovery

Benefits

– Unprecedented Information Visibility

– Leverage Existing BI Investments

– Self-Service Data Discovery

– Reduced IT Costs, Better Business Decisions

Unique Features

– Contextual Search, Navigation, Analytics

– Dynamic Data and Metadata

– Content Acquisition and Text Enrichment

– In-Memory Performance

Rapid, intuitive exploration and analysis of data

from any combination of structured and unstructured sources

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Questions