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Making Sense of Data

Corporate Presentation February 2012

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The big data challenge

Volume

Variety

Velocity

DATA CITY

•  40% projected growth in global data generated per year

•  In 2020 available data will total 35 Zettabytes *

•  Explosion of formats: documents - images - audio - text - video - transactional data

•  Proliferation of channels: paper - electronic - internet - mobile - partner networks

•  Interactions on mobile and internet are measured in milliseconds

•  In order to respond to customer demand, data must be analyzed in real-time

* 1 Zettabyte = 1,000,000,000,000,000,000,000 bytes, or 1 billion terrabytes

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•  companies generate a tremendous amount of digital “exhaust data,” i.e., data that are created as a by-product of other activities.

•  social media sites, smartphones, and other consumer devices including PCs and laptops have allowed billions of individuals around the world to contribute to the amount of big data available

•  marketing and sales departments want a 360-degree lifetime view of the customer and need e-commerce, multimedia content delivery, ad targeting and other applications that occur in real time

•  the use of big data is becoming a key way for companies to outperform their peers. Through better understanding of the consumer as an individual, companies are able to create a one to one marketing strategy, based on personalized content and ads.

From challenges to opportunities

d 

Capture data 

Organize informa2on 

Personalize Content 

Create Insights 

Business Knowledge 

Technology Knowledge 

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NGDATA develops Lily, a proven big data management platform.

•  Easy to implement and manage; •  Industry specific capabilities; •  Combines real-time processing and interactions with machine

learning, enabling recommendations.

Immediate impact on business performance

NGDATA is an established big data software provider with proven technology.

•  Delivering value to consumer driven industries; •  Immediate return by turning big data as a cost to a profit; •  Global partner community of domain partners and system

integrators, with the goal of maximizing customer service.

Capitalizing on big data TODAY

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Lily – Key Characteristics

data profiles

interaction

insights

manage grow

track

generate

recommendations

IMMEDIATE RETURN for consumer driven industries

•  Retail/wholesale •  Publishing/entertainment •  Telecom

•  Finance

Lily turns big data technology into immediate VALUE

•  real-time •  generating

recommendations and trends

•  and easy to implement and manage

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•  From batch to real time

•  Lily combines •  scalable storage •  indexing and

search •  real-time usage

metrics •  machine learning

•  Lily makes big data technology accessible for a large audience.

Lily – Architecture

INTEGRATE

Alternate indexes

bulk operations

Stream ingestion

External systems

PROCESS TRACK

manage

tele

co m

reta

il

ne

ws/

me

dia

fina

nc

e

solutions

User profiles

Machine learning

Batch processing

Usage tracking

Interactive processing

ANALYZE

recommendations dashboard trending

deploy

monitor

optimize

churn analysis 1to1

recommendations fraud detection

risk assessment audience behavior ad targeting

Hadoop HBase Solr

Datamodel API

indexing search

queuing repository

storage