Big Data Everywhere. Chicago

Transcription

1 Big Data Everywhere Chicago

2 Introduction

3 Background

4 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 ABILITY TO PERFORM PROVEN COMPANY TO WATCH April 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 Today s solutions weren t built for Multi-Structured Data Old Way = Traditional BI/DW Friction heavy modeling up front Best for classic structured data Complex change management New Way = Big Data Analytics Frictionless just land data Unlimited volume and variety Flexible and iterative

6 Current Architecture

7 Previous Architectures Focused on Cost Reduction through tool displacement

8 Exciting Time

9 Today s solutions force big data to become small Business Analyst Most companies estimate they're analyzing a mere 12% of the data they have missing out on datadriven insights hidden inside the 88% of data they're ignoring.

10 The value of big data lies in seeing all the data Business Analyst Data Preparation IT

11 MSD creates the opportunity to ask new questions iteratively, against 100% of your data Business Analyst Data Preparation IT Business Analyst Creating new answers to questions not possible before.

12 Evolution of Data Analyst Workflows 1% 10 % 100 % Analysis Data Preparation Pre-2005 BI Analyst IT 2005-Today Data Discovery Analyst IT Today - Multi-Structured Data Analysis Analyst The Multi-Structured Data World: Transactions, Customer Interactions & Machine Data combined across large datasets 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 Customer Analytics Gain a holistic view of your customer s journey through Big Data Analytics Understand your audience like never before Customer Analytics Benefit from economies of scale Ask unlimited questions about your data 13

14 Siloed marketing data makes it difficult to understand your audience Forcing you to analyze a subset of your data Site Metrics Social CRM Transactions 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.

15 The new world of data is Multi-Structured Data is coming in new forms, in greater size, and at increasing speed 1960s 1970s 1980s 1990s 2000s 2010s 2014 Mainframe Mini Computing Client Server Internet Mobile Social Internet of Things

16 But, Big Data is Multi-Structured Data Incorporating various datasets "How do we increase upsell across our customer base?"

17 But, Big Data is Multi-Structured Data Incorporating various datasets Are we victim to advanced persistent cyber threats?

18 But, Big Data is Multi-Structured Data Incorporating various datasets How is our set-top box user experience?

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

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

21 Benefit from economies of scale Easy to use, scalable, and affordable 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

22 Changing Landscape

23 Insights driving iterative product improvements 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 Home Automation

25 Home Automation meets IoT

26 Media Company Usage Patterns

27 Media Company Social Tracking

28 Linking advertising influence and consumer behavior 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 Reinventing loyalty marketing with big data analytics 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 Platfora Pitch

31 Deep intellectual property 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 INTERACTIVE VISUAL ANALYTICS DISTRIBUTED IN-MEMORY ACCELERATION DEEP PROCESSING

32 From Multi-Structured Data to insights in a day Point Platfora Add and Pick Visualize & Share or at Hadoop connect details interesting data find patterns drive actions 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 Business Analyst Iterates & Repeats 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. DR. KARL GEIGER, INNOVATION, DATA AND TOOLS

33 Thank You