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USF IoT & Big Data Presentation

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Presentation for SAP France User Group meeting, January 2015

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USF IoT & Big Data Presentation

  1. 1. Business Innovation Through Big Data Timo Elliott, Global Innovation Evangelist, SAP @timoelliott
  2. 2. Big data
  3. 3. Process data Human data Machine data
  4. 4. © 2014 SAP AG. All rights reserved. 4Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 Unstructured 50TB Semi- structured 2 TB Structured 12 TB Only 12% used today Average data volume per company 9 TB 75 TB 0.6 TB 5 TB 4 TB 50 TB SMBs: LEs: Base: 634 business intelligence users and planners Companies don’t use most of their data
  5. 5. Big Data Is… (According to Google)
  6. 6. © 2014 SAP AG. All rights reserved. 6 Big Data is at Peak of Inflated Expectations… Source: Gartner
  7. 7. © 2014 SAP AG. All rights reserved. 7 Benefits from Big Data Initiatives Source: Information Difference Research Study: “Big Data Revealed”
  8. 8. Hyper-personalize Customer Experience Plan & optimize Resources in Real-time Engage & empower Workforce of the Future Harness the intelligence of Networked Economy Key Areas of Opportunity
  9. 9. Point of Sale Explorer
  10. 10. Reinvent Luxury Service
  11. 11. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Unilever “if we knew then what we know now, we would have started deploying SAP HANA much earlier, because it’s so important for business... We think it’s even more disruptive than we initially thought — we’ve only just started” Marc Béchet, VP Global IT ERP, Unilever
  12. 12. © 2014 SAP AG. All rights reserved. 12 Listening to Customers
  13. 13. © 2014 SAP AG. All rights reserved. 13 Improving Customers Lives Combine structured and unstructured data for complaint handling and patient experience reporting “The improved information flow allows Medtronic to address product performance issues efficiently, accurately, and effectively and to detect trends at an earlier stage.”
  14. 14. New Products & Services
  15. 15. Genomic Analysis 1 sample = 2534 genomes = 20bn records = 1.2TB 600x Faster = previously impossible tests and research A win-win-win for IT, researchers, and humanity
  16. 16. © 2014 SAP AG. All rights reserved. 17 Hadoop + Hana
  17. 17. © 2014 SAP AG. All rights reserved. 18
  18. 18. Data Warehouse HTAPHadoop Big Data Architecture Directions: Short Term Where does data arrive? When does it need to move? Where does modeling happen? What can users do themselves? What governance is required? BI Tools
  19. 19. Metadata abstraction Increasingly automated Learning algorithms Content & Process Included Data Warehouse HTAPHadoop Big Data Architecture Directions: Long Term Where does data arrive? When does it need to move? Where does modeling happen? What can users do themselves? What governance is required? Integrated Data “System” (cloud & on-premise) BI Tools
  20. 20. Understand Big Data through Information Management Lifecycle Technologies supporting enterprise requirements naturally co-exist and co-evolve Ingest Store Process Present Effort Effort Unstructured  Replication/ synchronization  Extract-transform-load  Event stream processing  Database  Many instance formats  Many storage formats  ACID properties  Transactional  Versatile data queries using SQL/OLAP  Scripting and UDF to process In-DB  Federate queries across DB and DFS  Low-latency processing  Mature connectors to transport data to variety of visualization tools Structured  File transfer  Extract-load data from variety data sources  Distributed File System (DFS)  Files stored in native format  Software-driven reliability model  BASE properties  Lack of BI tool support  Transform to pre-process or at time of request using map- reduce  Huge amount of efforts to define the SQL  Scheduled chains to create consumable information  Simple SQL-like connectivity  High-latency processing  Need new storage formats for high speed and high concurrency  Emerging visualization tools SAP HANA+ Sybase IQ + Hadoop SAP BISAP DS, ESP
  21. 21. SAP HANA: Text Analysis for Big Data File Filtering  Unlock text from binary documents  Ability to extract and process unstructured text data from various file formats (txt, html, xml, pdf, doc, ppt, xls, rtf, msg)  Load binary, flat, and other documents directly into HANA for native text search and analysis Native Text Analysis  Give structure to unstructured textual content  Expose linguistic markup for text mining uses  Classify entities (people, companies, things, etc.)  Identify domain facts (sentiments, topics, requests, etc.)  Supports up to 31 languages for linguistic mark-up and extraction dictionary and 11 languages for predefined core extractions SAP HANA Text & Sentiment Analysis SearchAnalyze Predict 22
  22. 22. SAP ESP: Streaming Big Data 23 Analyse and act on events as they happen – by relying on real-time event-driven analytics. With our award-winning complex event processing (CEP) platform, you can develop and deploy business-critical applications that give you the agility you need to make quick, profitable decisions. Process and analyse multiple streams of high-speed, high-volume complex event data in real time Get actionable information from event streams and generate alerts for events needing quick action Initiate automatic responses to changing conditions based on one or a combination of events Develop applications quickly for fast ROI with the high-performance CEP engine
  23. 23. SAP HANA: Predictive & Machine Learning SAP HANA platform converges Database, Data Processing and Application Platform capabilities & provides Libraries for predictive, planning, text, spatial, and business analytics so businesses can operate in real-time. Provide Business Analysts with sophisticated algorithms to take the next step in understanding their business and modeling outcomes. Perform statistical analysis on your data to understand trends and detect outliers in your business. Build models and apply to scenarios to forecast potential future outcomes Combine, manipulate and enrich data to apply it to your business scenarios. Self-service visualizations and analytics to tell your story 24
  24. 24. SAP HANA Spatial Processing SAP HANA: Spatial Processing Real-time Spatial Processing High-performance algorithms analyze massive amounts of spatial data in real-time Mobility Visualization Analytics HTML 5 GIS Applications Spatial Analytics Optimization Columnar storage architecture eliminates need to create spatial indexes, tessellation, or other optimization techniques. Geo-content & services Maps, geo-content and geospatial services for seamless application development and deployment Spatial Data Types & Functions Store, process, manipulate, share and retrieve spatial data directly in the database Business Data + Spatial Data + Real-time Data Geo – Services - Geocoding - Base maps Geo – Content - Political Boundaries - POIs - Roads Columnar Spatial Processing Calc Model / Views - Joins - Views Spatial Functions - Area - Distance - Within Spatial Data Types - Points - Lines - Polygons Transaction Data Unstructured Data Location Data Machine Data
  25. 25. Big Data provisioning with SAP SAP IQ Trigger Based, Real Time ETL, Batch Log Based ODBC DB Connection ODBC Event Streams ECH ODBCData Synchronization ODBC/ JDBC/ OData SAP HANA smart data access Data Virtualization Non SAP Data Sources Trading & Order Management Systems Network Devices- Wired/Wireless SAP BW SAP Sybase IQ /ASE SAP Business Suite SAP Data Services SAP LT Replication Server SAP Sybase Event Stream Processor SAP Sybase SQL Anywhere Your Own Applications SAP HANA SAP Sybase Replication Server Data Sources 26
  26. 26. SAP HANA smart data access capability Data virtualization for on-premise and hybrid cloud environments ► Remote data access like “local” data ► No special syntax to access heterogeneous data sources ► Smart query processing pushing as much processing as possible to target data source ► Functional compensation allows customers to use the full power of the HANA ► Automatic data type translation enables remote data types to be mapped to HANA data types ► Data location agnostic development SAP HANA Remote Data Sources HANA Tables End User Query Virtual Tables Analytical and Transactional Applications Teradata Hadoop SAP HANA ASE IQ
  27. 27. SAP HANA Platform and Hadoop DataIngestionAcquisition Processing Engine Application Function Libraries & Data Models Database Services (OLTP + OLAP) Extended Application Services Integration Services SAP HANA PLATFORM In-memory processing platform for real-time transactions + end-to-end analytics that offers massive simplification. Unified Administration Application Development Custom Apps Mobile Apps Big Data Apps ERP Apps SAP Analytics Smart Data Access Transfer Datasets SAP IQ Web / Sensor Call Center Other Data Sources SAP SLT / Rep Server SAP Data Services SAP SQL Anywhere SAP ESP Hadoop Adapter Hadoop Hive SAP ERP BW Hortonworks Data Platform Partner Hadoop Distributions
  28. 28. 29 The Internet of Things SAP’s Strategy: Driving Customer Value Timo Elliott Innovation Evangelist
  29. 29. Internet of content Internet of people Internet of things Internet of Things is connecting information, people, and things
  30. 30. 31 IoT is relevant to all of us THE INTERNET OF THINGS Healthcare & Life Science Transportation Industrial Consumer & Home Energy Buildings IT & Networks Security/ Public Safety Retail Tracking Human, Animal, Postal, Food / Health, Packaging, Baggage Jeeps, Cars, Ambulances Breakdown, Lone Worker Tanks, Fighter Jets Battlefield Comms Homeland Security, Fire Environ, Monitor, etc. POS Terminals Tags Cash Registers Vending Machines Signs, etc. Servers Storage PCs, Routers Switches PBXs, etc. Vehicles, Lights, Ships Planes, Signage Tolls, etc. Assembly / Packaging, Vessels / Tanks, etc.Motors, Drives, Converting Fabrication Pumps, Valves, Vats, Conveyors, Pipelines MRI, PDAs Implants, Surgical Equipment Pumps, Motors Telemedicine, etc. Digital Cameras Power Systems, MD Dishwashers eReaders Desktop Computers Washers / Dryers Meters, Lights, TVs, MP3 Game Consoles, Lighting Alarms, etc. Turbines Windmills UPS Batteries Generators Meters, Drills Fuel Cells, etc. Alternative Solar, Wind, Co-Generation, Electrochemical HVAC Transport Fire & Safety Lighting Security Access, etc. Beecham Research
  31. 31. 32Connected Utilities Connected healthcare Connected cities Connected car Real-time replenishment IoT will touch almost every aspect of life & business Connected retail Connected asset management Responsive supply chains Connected logistics Predictive maintenance Connected buildings Responsive manufacturing
  32. 32. Empowering Individual Performance
  33. 33. Sensors Enable New Processes and Applications Weissbeerger Beverage Analytics
  34. 34. Networked Crane Safety
  35. 35. Smart Washrooms
  36. 36. Information Ecosystems 38
  37. 37. 41
  38. 38. © 2014 SAP AG. All rights reserved. 42 SMART VENDING
  39. 39. © 2014 SAP AG. All rights reserved. 43
  40. 40. © 2014 SAP AG. All rights reserved. 44 Smart Vending
  41. 41. © 2014 SAP AG. All rights reserved. 45 Smart Vending Real-Time Executive Monitoring Confidential
  42. 42. Connected Cars
  43. 43. Internet of Things for Business – only from SAP Maturity … core business operations with billions of internet-enabled things to gain new insights by combining business data with machine data .. existing business processes with predictive, context-based and automated insights from the edge of the network .. business and customer’s experience with new business models, products & services Connect Transform Reimagine Added Value for the Company Supporting technologies:  Big Data  Cloud  Mobile  Analytics  Integration
  44. 44. © 2011 SAP AG. All rights reserved. 49Internal SAP will deliver IoT applications, platforms, and facilitate extensions of IoT solutions 6 months 1-2 years Long Term 50 billion things will join the workforce, moving biz processes to the device/edge of the network Our strategy is to grow revenue by IoT enabling core industry, and next generation solutions for millions of human users while expanding our platform market by adding devices Sell IoT Enabled LoB/Ind SaaS Enable SAP Solutions (IoT enabled LOB/Ind Solution) Extend for Custom Solutions (Platform to enable Partner development) Embed with Hardware partnerships (HCP integration to customize apps)
  45. 45. © 2011 SAP AG. All rights reserved. 50Internal SENSORS THINGS CONNECTOR TRANSPORT 10’s of billions of connected things Private and public networks High-performance compute infrastructure Deconstructing the Internet of Things
  46. 46. © 2011 SAP AG. All rights reserved. 51Internal SAP HANA Cloud Platform the Internet of Things enabled in-memory platform-as-a-service SAP HANA Cloud Platform User / Developer Experience Data Center Infrastructure Services Data Models Predictive Search Spatial Rules … Common API Layer Storage … SAP IoT connector SAP Business Suite 3rd-party apps and services Runtimes Stream/Event Processing Identity Management Document Management Mobile …Device Integration External Data Sources Partner / 3rd party integration SAP, partner and custom apps Application Services
  47. 47. © 2011 SAP AG. All rights reserved. 52Internal SAP HANA Cloud Platform - the Internet of Things enabled in-memory platform-as-a-service Machine Cloud (SAP) HANA Cloud IoT Services End Customer (On site) Business owner (SAP Customer) HANA Cloud Integration Business Suite Systems (ERP, CRM , etc.) SAP ConnectorDevice HANA Big Data Platform Data Processing Extended Storage Hadoop In-Memory Engines Streaming Storage ∞ HANA Cloud Platform Machine Integration Process Integration IoT Applications (SAP, Partner and Custom apps)
  48. 48. Enabling the Internet of Things with SAP solutions SAP Predictive Maintenance & Service SAP Connected Logistics SAP Connected Plant SAP Connected Retail SAP Augmented Reality
  49. 49. SAP Predictive Maintenance and Service Maintenance Engineer Service Engineer Installation and repair services Remote Service Management New business models around the device Service Technician Asset Manufacturer Asset Operator CRM, Customer Service Enterprise Asset Management Predictive Maintenance for critical assets 3rd Party Service Provider Physical Asset Level SAP HANA Cloud Platform
  50. 50. John Deere – reimagining business models "We are moving from a manufacturing company to a solutions-based enterprise"
  51. 51. © 2011 SAP AG. All rights reserved. 56Internal Keaser Compressors – reimagining customer service “Our predictive maintenance solution has enabled us to proactively attend to maintenance needs and increase service levels for customers“
  52. 52. © 2011 SAP AG. All rights reserved. 57Internal Allows warehouse picker to complete daily tasks without using a scanning device  Handling units, locations, products, stations and any other required scans  Quantity confirmation  Completion of warehouse tasks and orders Relevant information is displayed to the user when needed without having to request the information • Simplified Authentication  Authentication on the SAP System thru QR-Code scan  Compatible with SMP 3.0 • Hands-Free Application  Required inputs are managed through voice recognition  All warehouse picking steps can be completed without gestures or touch events SAP AR Warehouse Picker
  53. 53. © 2011 SAP AG. All rights reserved. 58Internal  Allows the field service technician to have access to Visual Enterprise models with instructions anywhere in a hands-free experience • Enables service technician to perform the necessary operations using a companion application for SAP Work Manager  Includes an expert calling feature which allows a remote expert to give directions to a colleague while seeing through the head-mounted display  Complete Hands-Free experience to allow the service technician to perform tasks while getting the needed information  3D model rendering with audio/visual steps from Visual Enterprise  Voice recognition SAP AR Service Technician
  54. 54. © 2011 SAP AG. All rights reserved. 59Internal SAP Connected Logistics SAP HANA Cloud Platform Logistics Container Asset investment management Infrastructure OnDemand Services & Offerings form SAP and 3rd party Sea routes or canals Monitoring Telematics offerings Geo- andTraffic monitoring & control In the terminal loading & unloading
  55. 55. “Our aim is to gradually interconnect all modes of transport – from waterways and roads all the way to the railway” Hamburg Port Authority - steering course for the connected port of the future
  56. 56. SAP Connected Manufacturing Quality DepartmentEH&S Performance Management VP Operations Sustainable Operations Quality Management Production Planning Materials Management Physical Asset Level SAP HANA Platform
  57. 57. © 2011 SAP AG. All rights reserved. 62Internal Harley Davidson – enabling responsive manufacturing with SAP Connected Plant Reduced lead time to produce customized motorbikes from 21- day cycle to 6 hours!
  58. 58. 63 SAP Internet of Things for Business! Connect | Transform | Reimagine
  59. 59. Thank you! http://www.sap.com/iot @SAP_IoT SAP Internet of Things SAP Internet of Things Timo Elliott, Innovation Evangelist Timo.Elliott@sap.com TimoElliott.com @timoelliott

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