YOU VS THE SENSORS. Six Requirements for Visualizing the Internet of Things. Dan Potter Chief Marketing Officer, Datawatch Corporation

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1 YOU VS THE SENSORS Six Requirements for Visualizing the Internet of Things Dan Potter Chief Marketing Officer, Datawatch Corporation

2 About Datawatch NASDAQ: DWCH Pioneer in real-time visual data discovery and self-service data preparation Global operations and support US, UK, Germany, France, Australia, Singapore, Philippines Extensive global customer base 93 of the Fortune of the 15 largest financial institutions Embedded and resold by leading vendors

3 IoT: Industrial & Consumer Industrial Consumer

4 IoT and Industrial Analytics 50 billion devices will be interconnected by Cisco By 2017, over 50% of analytics implementations will make use of event data streams generated from instrumented machines, applications and/or individuals - Gartner Real-time visualization leads to more opportunities, greater output, and lower costs - Aberdeen Group IoT companies attracted more than $1 billion in venture capital in Forbes

5 The goal of the IIC is to improve integration of the physical and digital worlds, to help drive adoption of Industrial Internet applications. Testbeds Innovation to drive new products, processes, services Technology & Security Architectural frameworks, interoperability, privacy & security of Big Data Thought Leadership Community to advance innovation, best practices and insights

6 The Industrial Internet: Enabled by the Convergence of Technology, Machines, Data and Connectivity By 2020, the number of things connected to the internet will be approximately 7x the number of people on earth today. BILLIONS OF DEVICES INFLECTION POINT WORLD POPULATION Billion Smart Objects Rapid Adoption Rate of Digital Infrastructure: 5X Faster than electricity and telephony TIMELINE

7 Savings and Growth Opportunities Across Every Industry 1% savings from efficient Industrial Internet solutions could save billions in operational costs $30B fuel cost saving in aviation industry $66B fuel cost saving in gas powered fleets $63B productivity improvement in healthcare $90B reduction in Cap X in oil & gas exploration and development $27B productivity improvement in rail industry Savings and growth opportunities across every industry

8 What is Industrial Big Data?

9 IoT Platform Requirements Stream Processing Visual Data Discovery Real-Time Transport Sensor Data OT Data IT Data

10 Visualization for IoT Monitor and Alerts Data Access Data Preparation Visual Discovery Predictive Analytics Take Action

11 6 Requirements for IoT Visualization Data Discovery Streaming Data Visualization Time Series Data Predictive & Advanced Analytics Complex File Formats Real-time Geospatial & Location

12 #1 Data Discovery, not just Dashboards Easy for users to author, customize and share Interactive exploration & visually filter results Quickly identify anomalies and outliers with large or in-motion datasets Rich palette of visualizations for static and time series data

13 #2 Streaming Data Visualization Faster Speed, Faster Insights Database Distributed or Hybrid Database In-Memory Database Streaming Analytics

14 Limitations of Traditional BI Data at Rest Database Distributed or Hybrid Database In-Memory Database Streaming Analytics

15 Streaming Data Discovery Data at Rest Database Distributed or Hybrid Database In-Memory Database Streaming Analytics

16 Streaming Data Discovery How does this compare to intra-day? What is mean time to failure? What is likely to occur? Alert! Steam turbine stress level over threshold Act! Schedule shut down Database Distributed or Hybrid Database In-Memory Database Streaming Data

17 Streaming Data Visualization Connect directly to data in motion Hosted IoT platforms Complex Event Processing & MQ Data model optimized for both caching and persistence High density visuals with rendering in milliseconds Monitor Analyze Take Action

18 #3 Time Series Data Traditional BI only looks at buckets of time Day, week, month, year Sensor data is a continuous and has different requirements Second, millisecond, nanosecond Time windows Time slices Playback Complete situational awareness Now (streaming) Intra-day Historic

19 #4 Predictive & Advanced Analytics Enrich streaming OT data with what is likely to occur Predictive models based on historic data patterns Many use cases in IoT (e.g. predictive maintenance, smart logistics, clinical pattern detection etc.) Leverage commercial and open source solutions

20 We Want to Predict the Future for Equipment

21 #5 Complex File Formats Sensor and machine data often in multi-structured format Need to transform, enrich and prepare data Almost no metadata For example, wave form visualization from JSON arrays stored in MongoDB and streaming Log Files HTML, XML JSON PDFs Modeled and transformed for analysis

22 #6 Real-Time Geospatial & Location Real-time (stream) plotting Street-level geo maps or custom SVG files Time-series playback Utilities Retail Logistics Healthcare

23 6 Requirements for IoT Visualization Visual Data Discovery Streaming Data Visualization Time Series Data Predictive & Advanced Analytics New Analytic Approach Required Complex File Formats Real-time Geospatial & Location

24 The Next Wave of Business Transformation Source: Industrial Analytics: The Next Wave of Business Transformation Gartner, March 2014

25 Streaming Analytic Examples Energy & Utilities Production surveillance Smart meter analytics Down hole sensor monitoring Transportation Intelligent traffic management Automotive Telematics Capital Markets Transaction Cost Analysis Analyze market data at ultra-low latencies Compliance monitoring Risk and Fraud prevention Detecting multi-party fraud Real time fraud prevention Telco CDR processing Social analysis Churn prediction Geomapping Defense & Cyber Security Multimodal surveillance Situational awareness Cyber security detection Health & Life Sciences ICU monitoring Epidemic early warning Remote healthcare monitoring Manufacturing Preventative maintenance Energy management

26 Example Use Case Fortune 500 oil & gas exploration and production company Moving to real-time streaming visualization From 24 hour latency moving data overnight from OSIsoft Pi to Oracle Warehouse feeding dashboards To real-time, streaming data discovery connecting directly to OSIsoft Pi server Initial goal is to reduce steam cost by 3-5% ($M) in year 1 Pi Server

27 Example Use Case Steam Injector Significantly enhances steam injection surveillance and management process Identify optimization opportunities and troubleshoot problem areas Steam Generator Continuously monitor the health of generators, optimize steam use, improve generator efficiency and identify operational issues Real-time output qualities, rates and pressures can be monitored for each steam generator and in aggregate

28 Smart Meter Dashboard Streaming data from electric smart meters

29 Hospital Emergency Ward Bird s Eye View Streaming data from patient monitoring system

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