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Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on Hadoop

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Hadoop use cases have historically trended towards cost reduction through data warehouse offload. More recently, an uptick around customer-centric use cases have proven the ability for Hadoop to drive top-line revenue. In this session, Platfora solution architect Rob Rosen will discuss how the ability to coreelate multi-structured data in Hadoop leads to greater customer adoption, expanded cross-selling and reduced customer churn for enterprises deploying Hadoop-centric data lakes.

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Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on Hadoop

  1. 1. Big Data Everywhere Chicago
  2. 2. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Introduction
  3. 3. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Background
  4. 4. PROVEN ABILITY TO PERFORM CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Proven leader MOMENTUM OVER THE PAST 12 MONTHS • Increased YOY ARR bookings by 3x • Grew customers by 4x and employees by 2x • Launched 9 product versions with feature innovations PROVEN COMPANY TO WATCH April 2014 10 Hot Hadoop Startups to Watch Ones to Watch in Big Data CRN 10 Coolest Big Data Products of 2013 RAISED $65M BY LEADING INVESTORS
  5. 5. Today’s solutions weren’t built for Multi-Structured Data Old Way = Traditional BI/DW New Way = Big Data Analytics Friction – heavy modeling up front Frictionless – just land data Best for classic structured data Unlimited volume and variety Complex change management Flexible and iterative CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED.
  6. 6. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Current Architecture
  7. 7. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Previous Architectures • Focused on Cost Reduction through tool displacement
  8. 8. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Exciting Time
  9. 9. Today’s solutions force big data to become small “Most companies estimate they're analyzing a mere 12% of the data they have…missing out on data-driven insights hidden inside the 88% of data they're ignoring.” CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. –– Business Analyst
  10. 10. The value of big data lies in seeing all the data CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. – Business Analyst – IT – Data Preparation
  11. 11. MSD creates the opportunity to ask new questions iteratively, against 100% of your data – Business Analyst CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. – Business Analyst – IT – Data Preparation Creating new answers to questions not possible before.
  12. 12. The Multi-Structured Data World: Transactions, Customer Interactions & Machine Data combined across large datasets CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Evolution of Data Analyst Workflows – Data Preparation 1% 10 % – Analysis 100 % 2005-Today “Data Discovery” Analyst IT Pre-2005 Analyst IT “BI” Analyst Today - “Multi-Structured Data Analysis” Access to All the Data is Key: • Analysts are more efficient; no wait time for iterative analysis • Detailed behavioral attributes are accessible • New datasets (at scale) are driving new questions • Data under the waterline is growing quickly
  13. 13. Customer Analytics Gain a holistic view of your customer’s journey through Big Data Analytics CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Understand your audience like never before Benefit from economies of scale 13 Customer Analytics Ask unlimited questions about your data
  14. 14. Siloed marketing data makes it difficult to understand your audience Forcing you to analyze a subset of your data “Most companies estimate they're analyzing a mere 12% of the data they have…missing out on data-driven insights hidden inside the 88% of data they're ignoring.” CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. CRM Site Metrics Social Email Transactions
  15. 15. The new world of data is Multi-Structured Data is coming in new forms, in greater size, and at increasing speed CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. 1960s Mainframe 1980s Client Server 1990s Internet 2000s Mobile 2010s Social 2014 Internet of Things 1970s Mini Computing
  16. 16. "How do we increase upsell across our customer base?" CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. But, Big Data is Multi-Structured Data Incorporating various datasets
  17. 17. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. But, Big Data is Multi-Structured Data Incorporating various datasets “Are we victim to advanced persistent cyber threats?”
  18. 18. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. But, Big Data is Multi-Structured Data Incorporating various datasets “How is our set-top box user experience?”
  19. 19. Understand your audience like never before Connections at every touchpoint Segmentation Analysis Understand a wide variety of your audience’s characteristics Behavioral Analysis Improve your targeting with robust behavioral measures Event Series Analysis Unite and make sense of raw data overtime CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED.
  20. 20. Ask unlimited questions about your data Self-service, iterative, and interactive Add new datasets instantly Quickly add new datasets and analyze interesting data in Hadoop immediately Zero in on what matters Create Lenses to analyze the data that is most valuable to your business No code required Drag and drop functionality eliminates the need for code CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED.
  21. 21. Get up & running easily Visualize insights from raw data in a day Analyze 100% of your data Have confidence in your decisions by analyzing more accurate trends over a longer time period Democratize your data Easily share insights with your coworkers regardless of their technical skill level CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Benefit from economies of scale Easy to use, scalable, and affordable
  22. 22. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Changing Landscape
  23. 23. Insights driving iterative product improvements CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Internet of Things: • Analyzed data from security and energy sensors inside consumer homes. • Performed limitless segmentation of data and received fast responses to queries. • Identified patterns in customer behavior to improve service, create new offerings. “…We’re able to combine different types of data and analyze the information in new ways. These new insights allow us to make constant improvements to our suite of home automation products.” – BRANDON BUNKER, SENIOR DIRECTOR OF CUSTOMER ANALYTICS AND INTELLIGENCE
  24. 24. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Home Automation
  25. 25. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Home Automation meets IoT
  26. 26. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Media Company – Usage Patterns
  27. 27. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Media Company – Social Tracking
  28. 28. Linking advertising influence and consumer behavior CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. The Challenge: • A need to integrate clickstream, search and inventory data across four disconnected business units. • A desire to decelerate investments in traditional EDWs and analytic databases. The Solution: • Integrated and visualized TV spot data, fine-grained web site traffic metrics and car dealer inventory to better understand the influence on the consumer's journey. • Created vizboards that demonstrated immediate consumer behavior shifts influenced by OEM TV ads during the SuperBowl. • Project to ROI in 6 weeks. Gained insights in significantly less time and money than if they used legacy tools. “Platfora enabled us to quickly understand precisely how advertising investments influence consumer behavior.” – ED SMITH, CTO
  29. 29. Reinventing loyalty marketing with big data analytics CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. The Challenge: • Experienced a dramatic growth in customer data volumes and they needed a streamlined process for rapid data visualization in order to facilitate data exploration for patterns that were important to customers. The Solution: • With Platfora, Paytronix was able to cut the turnaround time on analytics to customers in half. • Platfora’s full stack solution eliminated the need for time and resource consuming ETL cycles. • It’s now easy and faster for them to instantly create their own visual analysis of data using our Big Data Analytics platform. “With Platfora, we can shave weeks off the time (it takes) to integrate social media, mobile, online and in-store data to reinvent what loyalty marketing means to restaurateurs and their guests.” – ANDREW ROBBINS, CEO & FOUNDER
  30. 30. CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Platfora Pitch
  31. 31. INTERACTIVE VISUAL ANALYTICS DISTRIBUTED IN-MEMORY ACCELERATION CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. Deep intellectual property DEEP PROCESSING The ONLY Big Data Analytics platform that: • Utilizes a closed-loop, iterative approach driven by users: Interest Driven Pipeline™ • Performs multi-channel Event Series Analysis and iterative segmentation across all Hadoop data • Uses HTML5/Canvas objects supporting 1 million+ marks • Offers a scale-out, in-memory accelerator engine to progressively refine details and support event and aggregate processing • Automatically generates MapReduce/Spark jobs to populate an in-memory accelerator layer including event-correlation and aggregate push-down
  32. 32. From Multi-Structured Data to insights in a day “Platfora not only accelerates our results – some analytics tasks which once took weeks can now be completed in 20 minutes – it allows us to do things which before were simply not possible. Instant access to all available data puts vital information into the hands of our business decision makers and enables us to bring unprecedented value to our customers.” CONFIDENTIAL | © PLATFORA, INC. ALL RIGHTS RESERVED. – DR. KARL GEIGER, INNOVATION, DATA AND TOOLS Point Platfora at Hadoop 1 Add and connect details 2 Pick interesting data 3 Visualize & find patterns 4 Share or drive actions 5 Business Analyst Iterates & Repeats Supports Cloudera, Hortonworks, MapR, Pivotal, Amazon Visual catalog and raw data wrangling Automatically drives Hadoop to build/refine memory lens Follow patterns down to any level of detail Collaborate, publish, or export downstream feed
  33. 33. Thank You

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