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HOW BIG DATA CAN
      PROVIDE REAL TIME
    BUSINESS INTELLIGENCE
1
Collecting Smart




             WITH REAL TIME COMES REAL TIME PROBLEMS
                WHERE INTELLIGENCE AND ADAPTIVE DATA
                              MANAGEMENT IS REQUIRE



    Gathering the data is a science. Interpreting the data is an art
2   @chasemcmichael @infinigraph
3 VS OF BIG DATA




3
“IT’S NOT INFORMATION OVERLOAD. IT’S
         FILTER FAILURE.” ― CLAY SHIRKY



@chasemcmichel @infinigraph
4
• On behalfTHE DATA IS COMING & Co., the
           WHERE of BT Germany GmbH FROM
         Experton Group carried out a study on the
         question of how big data is changing
         business and IT. The study, “Data Explosion
         in Business IT”, was carried out in March and
         April 2012 with 100 decision-makers
         working at companies with more than 500
         employees. Most participants named mobile
         use of the Internet and cloud computing as
         the most important factors driving the
    there is good Big Data, which is insight, and bad Big Data, which is
5   noisegrowth of big data.
Quick Poll –

       Who is doing
6
    Big Data Projects?
REAL TIME NEEDS REAL TIME SYSTEMS




    Big data analysis is a mix of anthropology, social sciences and statistics.
7   @chasemcmichael @infinigraph
DATA CAN BE A BLESSING OR A CURSE
    • Need the systems to monitor at a
      whole new level,
    • Looking at usage patterns
    • Predicting future trouble before
      the trouble even happens
    • Know a server pool needs tuning
    • real time provision of additional
      services – Elastic

             Real time has to have real time
8         monitoring, automation and prevention
3 STEPS TO EFFECTIVELY USING BIG DATA

• Marketers must define
the problem they want to
address
-




• They must “separate the
signal from the noise.”
    -




• Must continually test
their insights.
        Big data can offer insights, but to get the most out if it, it takes intellectual
9       curiosity to turn insights into action. @chasemcmichael @infinigraph
Brand are fighting for attention and fighting in the
     blind. They need to know more than ever what’s
     effective. What their target audience is finding
     relevant and more importantly what’s driving the
     consumer to act on what content that turns into
     sales.




10
INFINIGRAPH SOLVES A PROBLEM FOR MARKETERS
             DROWNING IN DATA BY ENABLING THEM TO
      IDENTIFY WHAT'S RELEVANT TO THEIR CUSTOMERS.

      WE SIMPLIFY TREND IDENTIFICATION EMPOWERING
     BRANDS TO CREATE BETTER ENGAGEMENT THROUGH
                                    BETTER CONTENT.

      INFINIGRAPH IS LIKE THE COMSCORE / NIELSEN FOR
        ENGAGEMENT PERFORMANCE AND COMPETITIVE
                                       INTELLIGENCE

11
12
CONTENT ACTIONS IN REAL TIME




     actionable insights is the most important part of collecting data
13   @chasemcmichael @infinigraph
INFINIGRAPH HAS INVESTED OVER 3 YEARS OF DATA ORGANIZATION/COLLECTION ON 250K BRANDS CATEGORIZED INTO INDUSTRY.
      THIS IS A BIG DEAL AND THE HISTORIC DATA ISN’T AVAILABLE UNLESS YOU CAPTURED IT. BRANDS NEED THIS LEVEL TO EXTRACT THE
      RIGHT INSIGHTS INFINIGRAPH PROVIDES. THE SOCIAL GRAPH IS A MESS, BRANDS MUST HAVE CONTENT SCORING AND ANALYTICS TO
          MEASURE WHAT’S WORKING IN THEIR INDUSTRY NOT JUST THEMSELVES. HOW THEIR BRAND IS COMPARING WITH OTHERS AND
                WHAT’S EFFECTIVE. MONTHLY REPORTS ARE CREATED ALONG WITH CONTENT CURATION FEEDS PROVIDS BRAND ONGOING
               INTELLIGENCE USED ON EVERY MARKETING INITIATIVES. THE TOLL CREATES HIGHLY STRATEGIC AS WELL AS TACTICAL DATA

                                                                                                                 ONGOING  .
     We have too much of a focus on the collection of data by keyword vs. segmented
14   groups and communities @chasemcmichael @infinigraph
BIG DATA AND REAL-TIME
 • Big Data is a fact of life and needs to be
   addressed. Big Process is old wine in new
   bottles. Tightly couple processes and data to
   stay competitive.




15
1
IN MEMORY IS KEY




     Big data analysis is a mix of anthropology, social sciences and statistics.
16   @chasemcmichael @infinigraph
SAP® IN-MEMORY APPLIANCE (SAP HANA™)

     Near-Zero Latency
     • capable of performing complex calculations
       on complex data very fast.
     • process calculations as business event and
       triggers occur
     • decisions executed immediately

     Speed equals an “unfair” competitive advantage in real time big data
17   @chasemcmichael @infinigraph
SOCIAL SEGMENTATION




     Social data is one of the most powerful ways to segment your audience
18
     @chasemcmichael @infinigraph
HYPERCURATION™ IN REAL TIME




19
LARGE SCALE INDUSTRY INSIGHTS




     What is drive the greatest engagement in your business. is
20   whats working @chasemcmichael @infinigraph
HOW BIG?




21
TREND IDENTIFICATION - HYPERCURATION™




      Example: Real-Time trending content
       from 25 retail brands in one view.
       Know what your audience is resonating
       around.
22
2
OUR BIGGEST REAL TIME CHALLENGES

1. Distributed Data Gathering (Drone /
  Broker Mesh)
2. Changing Landscape of Data
  (Changing API / Changing Data
  "Types" & Sources)
3. Categorization / Taxonomy
  Handling (Dealing with lots of
  disparate data)
                                   Scale Scale
23                                    Scale
24

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HOW BIG DATA CAN PROVIDE REAL TIME BUSINESS INTELLIGENCE

  • 1. HOW BIG DATA CAN PROVIDE REAL TIME BUSINESS INTELLIGENCE 1
  • 2. Collecting Smart WITH REAL TIME COMES REAL TIME PROBLEMS WHERE INTELLIGENCE AND ADAPTIVE DATA MANAGEMENT IS REQUIRE Gathering the data is a science. Interpreting the data is an art 2 @chasemcmichael @infinigraph
  • 3. 3 VS OF BIG DATA 3
  • 4. “IT’S NOT INFORMATION OVERLOAD. IT’S FILTER FAILURE.” ― CLAY SHIRKY @chasemcmichel @infinigraph 4
  • 5. • On behalfTHE DATA IS COMING & Co., the WHERE of BT Germany GmbH FROM Experton Group carried out a study on the question of how big data is changing business and IT. The study, “Data Explosion in Business IT”, was carried out in March and April 2012 with 100 decision-makers working at companies with more than 500 employees. Most participants named mobile use of the Internet and cloud computing as the most important factors driving the there is good Big Data, which is insight, and bad Big Data, which is 5 noisegrowth of big data.
  • 6. Quick Poll – Who is doing 6 Big Data Projects?
  • 7. REAL TIME NEEDS REAL TIME SYSTEMS Big data analysis is a mix of anthropology, social sciences and statistics. 7 @chasemcmichael @infinigraph
  • 8. DATA CAN BE A BLESSING OR A CURSE • Need the systems to monitor at a whole new level, • Looking at usage patterns • Predicting future trouble before the trouble even happens • Know a server pool needs tuning • real time provision of additional services – Elastic Real time has to have real time 8 monitoring, automation and prevention
  • 9. 3 STEPS TO EFFECTIVELY USING BIG DATA • Marketers must define the problem they want to address - • They must “separate the signal from the noise.” - • Must continually test their insights. Big data can offer insights, but to get the most out if it, it takes intellectual 9 curiosity to turn insights into action. @chasemcmichael @infinigraph
  • 10. Brand are fighting for attention and fighting in the blind. They need to know more than ever what’s effective. What their target audience is finding relevant and more importantly what’s driving the consumer to act on what content that turns into sales. 10
  • 11. INFINIGRAPH SOLVES A PROBLEM FOR MARKETERS DROWNING IN DATA BY ENABLING THEM TO IDENTIFY WHAT'S RELEVANT TO THEIR CUSTOMERS. WE SIMPLIFY TREND IDENTIFICATION EMPOWERING BRANDS TO CREATE BETTER ENGAGEMENT THROUGH BETTER CONTENT. INFINIGRAPH IS LIKE THE COMSCORE / NIELSEN FOR ENGAGEMENT PERFORMANCE AND COMPETITIVE INTELLIGENCE 11
  • 12. 12
  • 13. CONTENT ACTIONS IN REAL TIME actionable insights is the most important part of collecting data 13 @chasemcmichael @infinigraph
  • 14. INFINIGRAPH HAS INVESTED OVER 3 YEARS OF DATA ORGANIZATION/COLLECTION ON 250K BRANDS CATEGORIZED INTO INDUSTRY. THIS IS A BIG DEAL AND THE HISTORIC DATA ISN’T AVAILABLE UNLESS YOU CAPTURED IT. BRANDS NEED THIS LEVEL TO EXTRACT THE RIGHT INSIGHTS INFINIGRAPH PROVIDES. THE SOCIAL GRAPH IS A MESS, BRANDS MUST HAVE CONTENT SCORING AND ANALYTICS TO MEASURE WHAT’S WORKING IN THEIR INDUSTRY NOT JUST THEMSELVES. HOW THEIR BRAND IS COMPARING WITH OTHERS AND WHAT’S EFFECTIVE. MONTHLY REPORTS ARE CREATED ALONG WITH CONTENT CURATION FEEDS PROVIDS BRAND ONGOING INTELLIGENCE USED ON EVERY MARKETING INITIATIVES. THE TOLL CREATES HIGHLY STRATEGIC AS WELL AS TACTICAL DATA ONGOING . We have too much of a focus on the collection of data by keyword vs. segmented 14 groups and communities @chasemcmichael @infinigraph
  • 15. BIG DATA AND REAL-TIME • Big Data is a fact of life and needs to be addressed. Big Process is old wine in new bottles. Tightly couple processes and data to stay competitive. 15 1
  • 16. IN MEMORY IS KEY Big data analysis is a mix of anthropology, social sciences and statistics. 16 @chasemcmichael @infinigraph
  • 17. SAP® IN-MEMORY APPLIANCE (SAP HANA™) Near-Zero Latency • capable of performing complex calculations on complex data very fast. • process calculations as business event and triggers occur • decisions executed immediately Speed equals an “unfair” competitive advantage in real time big data 17 @chasemcmichael @infinigraph
  • 18. SOCIAL SEGMENTATION Social data is one of the most powerful ways to segment your audience 18 @chasemcmichael @infinigraph
  • 20. LARGE SCALE INDUSTRY INSIGHTS What is drive the greatest engagement in your business. is 20 whats working @chasemcmichael @infinigraph
  • 22. TREND IDENTIFICATION - HYPERCURATION™ Example: Real-Time trending content from 25 retail brands in one view. Know what your audience is resonating around. 22 2
  • 23. OUR BIGGEST REAL TIME CHALLENGES 1. Distributed Data Gathering (Drone / Broker Mesh) 2. Changing Landscape of Data (Changing API / Changing Data "Types" & Sources) 3. Categorization / Taxonomy Handling (Dealing with lots of disparate data) Scale Scale 23 Scale
  • 24. 24

Notes de l'éditeur

  1. Big Data Intelligence for Exceptional Engagement Performance
  2. To me, there is good Big Data, which is insight, and bad Big Data, which is noise
  3. There are three key steps in effectively using Big Data, she said. First, marketers must define the problem they want to address. Next, they must “separate the signal from the noise.” Finally, they must continually test their insights. “To me, there is good Big Data, which is insight, and bad Big Data, which is noise,”
  4. There are three key steps in effectively using Big Data, First, marketers must define the problem they want to addressthey must “separate the signal from the noise.” must continually test their insights. “To me, there is good Big Data, which is insight, and bad Big Data, which is noise,”
  5. Brand are fighting for attention and fighting in the blind. They need to know more than ever what’s effective. What their target audience is finding relevant and more importantly what’s driving the consumer to act on what content that turns into sales.
  6. InfiniGraph solves a problem for marketers drowning in data by enabling them to identify what's relevant to their customers.We simplify trend identification empowering brands to create better engagement through better content.InfiniGraph is like the Comscore / Nielsen for engagement performance and competitive intelligence
  7. What's needed is a better understanding of customers' and prospects' “digital body language,” Melin said. “As they move through the sales cycle, this digital body language becomes more robust,” she said. It's crucial, she added, that the insights gained through the analysis of this information is shared throughout the organization.
  8. InfiniGraph has invested over 3 years of data organization/collection on 250K brands categorized into Industry. This is a big deal and the historic data isn’t available unless you captured it. Brands need this level to extract the right insights InfiniGraph provides. The social graph is a mess, brands must have content scoring and analytics to measure what’s working in their industry NOT JUST THEMSELVES. How their brand is comparing with others and what’s effective. Monthly reports are created along with content curation feeds provids brand ongoing intelligence used on every marketing initiatives. The toll creates highly strategic as well as tactical data ongoing.
  9. Gathering the data is a science. Interpreting the data is an art
  10. chase.mcmichael@infinigraph.com 650 302 0942@chasemcmichael@infinigraph