NGDATA brings big data technology and machine intelligence together, allowing organizations to capitalize on the massive amounts of data that is generated today. NGDATA develops Lily, a big data management platform that offers an easy way to extract powerful business insights in real-time and benefit from enriched data to make an immediate impact on business performance. NGDATA's global partner community provides expert services best suited to meet evolving big data needs. NGDATA is a privately-held company with headquarters in Ghent, Belgium. More information and recent updates are available at www.ngdata.com.
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Making Sense of Big Data Challenges and Opportunities
1. Making Sense of Data
Corporate Presentation
February 2012
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2. The big data challenge
• 40% projected growth in global data
generated per year
Volume • In 2020 available data will total 35 Zettabytes *
• Explosion of formats: documents - images -
DATA audio - text - video - transactional data
Variety
CITY • Proliferation of channels: paper - electronic -
internet - mobile - partner networks
• Interactions on mobile and internet are
Velocity 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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3. From challenges to opportunities
Business Create Personalize
Knowledge Insights Content
d
Technology Organize Capture
Knowledge informa2on data
• 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.
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4. Capitalizing on big data TODAY
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.
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5. Lily – Key Characteristics
Lily turns big data technology into IMMEDIATE RETURN for consumer
immediate VALUE driven industries
• real-time • Retail/wholesale
• generating • Publishing/entertainment
recommendations and track • Telecom
trends
interaction • Finance
• and easy to implement
and manage
manage grow
data profiles
insights
generate
recommendations
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6. Lily – Architecture
retail
finance
teleco
m
news/
media
• From batch to real solutions
time risk assessment
audience
behavior ad targeting
• Lily combines churn analysis
1to1
fraud detection
recommendations
• scalable storage
manage
• indexing and Interactive
dashboard trending
recommend
processing ations
search deploy
monitor
Batch Machine Usage User
• real-time usage processing learning tracking profiles
optimize
metrics PROCESS ANALYZE TRACK
• machine learning Stream
ingestion
INTEGRATE
bulk
operations
• Lily makes big data Datamod
el
repository API queuing Alternate
technology accessible indexes
search External
for a large audience. storage indexing
systems
Hadoop HBase Solr
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