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Building new business models through big data   dec 06 2012
 

Building new business models through big data dec 06 2012

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    Building new business models through big data   dec 06 2012 Building new business models through big data dec 06 2012 Presentation Transcript

    • Creating New Business Modelswith Big Data & AnalyticsAki Baloghwww.linkedin.com/in/akibalogh
    • More resources: www.GenerationAnalytics.com |2Agenda1. What is Driving Big Data?2. What is Big Data?3. What is Analytics?4. What can you do with Big Data & Analytics?5. Example Architectures © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |3Where is Big Data today? © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |4What is driving Big Data?1.Rising volumes of data2.Falling cost of data management tools3.Rising number of Data © Diamond Management & Technology Consultants, Inc. Scientists
    • More resources: www.GenerationAnalytics.com |5#1: Data volumes are growing © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |6#2: Data management tools like Hadoop are driving down cost © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |7#3: Data Science as a discipline is growing © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |8What is Big Data? © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com |9Big Data is Turning data into insights to drive decision-making © Diamond Management & Technology Consultants, Inc.Source: Allen (1999)
    • More resources: www.GenerationAnalytics.com | 10A Simple Framework: 3 Vs of Big Data• Volume• Variety• Velocity © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 11#1: Volume © Diamond Management & Technology Consultants, Inc.Source: Christopher Bingham, Crimson Hexagon. “Better Algorithms from Bigger Data.”
    • More resources: www.GenerationAnalytics.com | 12#2: Variety Data can dramatically change the way marketers gain customer intelligence and measure campaign effectiveness. 1. CRM Data + Web Data = Improve lead quality scoring 2. Call-Center Data + Web data = Better analyze calls you should avoid 3. Past Purchase Data + Web Data = Segment customers based on past buying behavior and target them on your website 4. Campaign Data + Web Data = Understand multi-touch attribution and optimize your campaign mix © Diamond Management & Technology Consultants, Inc. 5. Social Media Data + Web Data = Measure traffic to your website from social media campaignsSource: “Why Web Analytics is Not Enough.” Quantivo. (Paraphrased)
    • More resources: www.GenerationAnalytics.com | 13#3: Velocity © Diamond Management & Technology Consultants, Inc.Source: Guavus Reflex Platform. http://www.guavus.com/#/solutions/guavus-platform/
    • More resources: www.GenerationAnalytics.com | 14What is Analytics? © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 15Five Common Analytics ObjectivesClassify• Clustering• Unsupervised and supervised machine learning• Fraud analyticsTrend• Time-series analysisOptimize• Find the optimal outcome of an objective function (min/max) © Diamond Management & Technology Consultants, Inc.Predict• Predict the outcome of a single eventSimulate• Explore the consequences of different choices to help drive decision- making• Open-ended: Scenario planning, DSS
    • More resources: www.GenerationAnalytics.com | 16What can you do with Big Data & Analytics? © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 17What does Big Data Analytics require?Data: data availability + storage + integration + data management tools+Analytics: analytic formulas + statistical integrity + analytic applications+Interpretation: business problem + domain expertise + visualization +decision-makingThis typically requires a team of people with different skillsets. © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 18What can you do with Big Data & Analytics?1. New revenue modelsEx: Rapleaf scraping the web, collecting contact information and selling full datasets2. New user experiencesEx: Gmail recommendations for people to CC: on your email3. Cost optimization (i.e. deliver same product or service at less cost)Ex: Give your financial advisors tools to help automate your investment decisions © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 19Example Architectures © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 20Combining Big Data and the Enterprise Data Warehouse © Diamond Management & Technology Consultants, Inc.
    • More resources: www.GenerationAnalytics.com | 21Database Types and Examples Database Type Example Database Usage SQL Row DBMS MySQL, PostgreSQL Real-time transactions on SQL data SQL Column DBMS Vertica, InfiniDB Real-time analytics on SQL data SQL In-Memory MemSQL Real-time transactions © Diamond Management & Technology Consultants, Inc. Document-store MongoDB JSON data Graph Database Neo4j Social network connections Hadoop Hive, Hadapt, Unstructured and Accumulo semi-structured data Complex Event Storm Real-time events Processing Math Package R Analytic libraries
    • More resources: www.GenerationAnalytics.com | 22Redis © Diamond Management & Technology Consultants, Inc.Source: http://redis.io/presentation/Redis_Cluster.pdf
    • More resources: www.GenerationAnalytics.com | 23MongoDB © Diamond Management & Technology Consultants, Inc.Source: http://www.slideshare.net/PhilippeJulio/big-data-architecture
    • More resources: www.GenerationAnalytics.com | 24HDFS © Diamond Management & Technology Consultants, Inc.Source: http://gigaom.com/cloud/what-it-really-means-when-someone-says-hadoop/
    • More resources: www.GenerationAnalytics.com | 25Hadoop + R © Diamond Management & Technology Consultants, Inc.Source: http://blog.revolutionanalytics.com/2011/09/slides-and-replay-from-r-and-hadoop-webinar.html
    • More resources: www.GenerationAnalytics.com | 26Stream Processing + Column DBMS © Diamond Management & Technology Consultants, Inc.Source: Guavus Reflex Platform. http://www.guavus.com/#/solutions/guavus-platform/
    • More resources: www.GenerationAnalytics.com | 27EDW + HDFS + NoSQL + CEP (Simplified) © Diamond Management & Technology Consultants, Inc.Source: http://www.oracle.com/technetwork/topics/entarch/articles/oea-big-data-guide-1522052.pdf
    • More resources: www.GenerationAnalytics.com | 28EDW + Hadoop + Reporting © Diamond Management & Technology Consultants, Inc.Source: http://www.oracle.com/technetwork/topics/entarch/articles/oea-big-data-guide-1522052.pdf
    • More resources: www.GenerationAnalytics.com | 29EDW + Data Science Sandboxes + CEP © Diamond Management & Technology Consultants, Inc.Source: Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations (SAS)
    • More resources: www.GenerationAnalytics.com | 30Appendix: 451 Group Big Data Landscape © Diamond Management & Technology Consultants, Inc.Source: http://blogs.the451group.com/information_management/files/2012/11/DB_landscape.jpg