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Making Sense of Data




Corporate Presentation
                  February 2012




                WWW.NGDATA.COM
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

                                                                          WWW.NGDATA.COM
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.



                                                                                 WWW.NGDATA.COM
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.


                                                             WWW.NGDATA.COM
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

                                                                    WWW.NGDATA.COM
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



                                                                                           WWW.NGDATA.COM

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NGDATA Corporate Presentation

  • 1. Making Sense of Data Corporate Presentation February 2012 WWW.NGDATA.COM
  • 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 WWW.NGDATA.COM
  • 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. WWW.NGDATA.COM
  • 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. WWW.NGDATA.COM
  • 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 WWW.NGDATA.COM
  • 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 WWW.NGDATA.COM