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Use this title slide only with an image Business Innovation Through Big Data Timo Elliott, Global Innovation Evangelist, SAP @timoelliott

USF IoT & Big Data Presentation

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Page 1: USF IoT & Big Data Presentation

Use this title slide only with an image

Business Innovation Through Big DataTimo Elliott, Global Innovation Evangelist, SAP @timoelliott

Page 2: USF IoT & Big Data Presentation

Big data

Page 3: USF IoT & Big Data Presentation

Process data Human data

Machine data

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© 2014 SAP AG. All rights reserved. 4Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012

Unstructured50TB

Semi-structured

2 TB

Structured12 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

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Big Data Is… (According to Google)

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© 2014 SAP AG. All rights reserved. 6

Big Data is at Peak of Inflated Expectations…

Source: Gartner

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© 2014 SAP AG. All rights reserved. 7

Benefits from Big Data Initiatives

Source: Information Difference Research Study: “Big Data Revealed”

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Hyper-personalizeCustomer Experience

Plan & optimizeResources in Real-time

Engage & empowerWorkforce of the Future

Harness the intelligence ofNetworked Economy

Key Areas of Opportunity

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Point of Sale Explorer

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Reinvent Luxury Service

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© 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

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© 2014 SAP AG. All rights reserved. 12

Listening to Customers

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© 2014 SAP AG. All rights reserved. 13

Improving Customers LivesCombine 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.”

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New Products & Services

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Genomic Analysis1 sample = 2534 genomes = 20bn records = 1.2TB 600x Faster = previously impossible tests and researchA win-win-win for IT, researchers, and humanity

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© 2014 SAP AG. All rights reserved. 17

Hadoop + Hana

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© 2014 SAP AG. All rights reserved. 18

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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

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Metadata abstractionIncreasingly automatedLearning algorithmsContent & Process IncludedData

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

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Understand Big Data through Information Management LifecycleTechnologies supporting enterprise requirements naturally co-exist and co-evolve

Ingest Store Process Present

Effo

rt

Effo

rt

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 varietyof 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 BI SAP DS, ESP

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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 HANAText & Sentiment

Analysis

SearchAnalyze Predict

22

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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

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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

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SAP HANASpatial Processing

SAP HANA: Spatial Processing

Real-time Spatial ProcessingHigh-performance algorithms analyze massive amounts of spatial data in real-time

Mobility Visualization Analytics HTML 5 GIS Applications

Spatial Analytics OptimizationColumnar storage architecture eliminates need to create spatial indexes, tessellation, or other optimization techniques.

Geo-content & servicesMaps, geo-content and geospatial services for seamless application development and deployment

Spatial Data Types & FunctionsStore, 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

TransactionData

Unstructured Data

Location Data MachineData

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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 BusinessSuite

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

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SAP HANA smart data access capabilityData 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

RemoteData Sources

HANA Tables

End User Query

Virtual Tables

Analytical and Transactional Applications

Teradata

HadoopSAP HANA

ASE

IQ

Page 28: USF IoT & Big Data Presentation

SAP HANA Platform and Hadoop

Dat

a In

gest

ion\

Acq

uisi

tion

Processing Engine

Application Function Libraries & Data Models

Database Services(OLTP + OLAP)

Extended Application Services

Integration Services

SAP HANA PLATFORMIn-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

CallCenter

Other

Data Sources

SAP SLT / Rep Server

SAP Data Services

SAP SQL Anywhere

SAP ESP

Hadoop Adapter

Hadoop Hive

SAP ERPBW

Hortonworks Data Platform

Partner Hadoop Distributions

Page 29: USF IoT & Big Data Presentation

29

The Internet of ThingsSAP’s Strategy: Driving Customer Value

Timo ElliottInnovation Evangelist

Page 30: USF IoT & Big Data Presentation

Internet of content Internet of

people

Internet of things

Internet of Things is connecting information, people, and things

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31

IoT is relevant to all of usTHE INTERNET OF THINGS

Healthcare & Life Science

TransportationIndustrial

Consumer& Home

Energy

Buildings IT & Networks

Security/Public Safety

Retail

Public

Enterprise

Surveillance

Emergency Services

TrackingEquipment

Public Infrastructure

Radar/Satellite, Enviorn,

Military Security, Unmanned,

Fixed

Weapons, Vehicles, Ships, Aircraft, Gear

Human, Animal, Postal, Food / Health, Packaging, Baggage

Water Treatment, Building Environ, Gen. Environ, SurveillanceEquip. & Personnel, Police, Fire, Regulatory

Jeeps, Cars,Ambulances

Breakdown,Lone Worker

Tanks, Fighter Jets

Battlefield Comms

Homeland Security,Fire

Environ, Monitor, etc.SpecialtyHospitality

Stores

Fuel Stations, Gaming, Bowling, Cinemas, Discos,

Special EventsHotels, Restaurants,

Bars, Cafes, ClubsSupermarkets, Shopping

Centers, Single Site,

Distribution Centers

POS Terminals

Tags

Cash Registers

Vending Machines

Signs, etc.

IT / Data Center, Office,

Private Nets

Services, E-Commerce,

Data Centers, Mobile

Carriers, Fixed Carriers,

ISPs

Servers

Storage

PCs, Routers

Switches

PBXs, etc.

Non-Vehicular

Trans

Systems Air, Rail, MarineTolls, Traffic Mgmt.,

NavigationVehicles

Consumer, Commercial,

Construction, Off-Hiway

Vehicles, Lights, Ships

Planes, Signage

Tolls, etc.

Distribution

Converting / DiscreteFl

uid

/ Pr

oces

ses

Reso

urce

Au

tom

atio

n

Pipelines, Material

Handling, Conveyance

Metal s, Paper,

Rubber / Pl astic , M

etal working, Elect ronics ,

Assembl y, Test

Petro

-Che

m.,

Hydr

o Ca

rbon

s, F

ood

/ Be

vera

ge

Mini

ng, I

rriga

tion,

Ag

ricul

tura

l, W

oodl

and

Assembly / Packaging, Vessels / Tanks, etc.Motors, Drives,

Converting Fabrication

Pumps, Valves, Vats, Conveyors, Pipelines

Care

Rese

arch

Hospital, E

R, Mobile

POC, Clinic,

Labs,

Doctor O

ffice

Drug

Disc

over

y,

Diag

nosti

cs, L

abs

MRI, PDAs

Implants, Surgical Equipment

Pumps, Motors

Telemedicine, etc.

In Viv

o /

Home

Impla

nts, H

ome

Monito

ring S

ystem

s

Infrastructure

Convenience &

EntertainmentWiring, Network, Access,

Energy Mgmt.

HVAC / Climate,

Lighting, Appliance,

Entertainment

Awareness &

Safety

Security / Alerts, Fire Safety,

Environ Safety, Elderly,

Children, Power Protection

Digital Cameras

Power Systems, MD

Dishwashers eReaders

Desktop Computers

Washers / Dryers

Meters, Lights, TVs, MP3

Game Consoles, Lighting

Alarms, etc.

Supply / Demand

Oil / Gas

Power Gen, Trans & Dist, Low Voltage, Power Quality, Energy Mgmt.

Rigs, Derricks, Well

Heads, Pumps, Pipelines

Turbines

Windmills

UPS

Batteries

Generators

Meters, Drills

Fuel Cells, etc.

AlternativeSolar, Wind,

Co-Generation, Electrochemical

Commercial / Institutional

Office, Education, Retail,

Hospitality, Healthcare,

Airports, Stadiums

HVAC

Transport

Fire & Safety

Lighting

Security

Access, etc.

Industrial

Process, Clean Room, Campus

APPLICATION GROUPSSERVICE SECTORS

LOCATIONS

DEVICES

APPLICATION GROUPS

SERVICE SECTORS

LOCATIONS

DEVICES

Beecham Research

Page 32: USF IoT & Big Data Presentation

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

Page 33: USF IoT & Big Data Presentation

Empowering Individual Performance

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Sensors Enable New Processes and Applications

Weissbeerger Beverage Analytics

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Networked Crane Safety

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Smart Washrooms

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Information Ecosystems

38

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41

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© 2014 SAP AG. All rights reserved. 42

SMARTVENDING

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© 2014 SAP AG. All rights reserved. 43

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© 2014 SAP AG. All rights reserved. 44

Smart Vending

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© 2014 SAP AG. All rights reserved. 45

Smart Vending Real-Time Executive Monitoring

Confidential

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Connected Cars

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Page 48: USF IoT & Big Data Presentation

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

Supportingtechnologies:

Big Data Cloud Mobile Analytics Integration

Page 49: USF IoT & Big Data Presentation

© 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 networkOur 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)

Page 50: USF IoT & Big Data Presentation

© 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

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© 2011 SAP AG. All rights reserved. 51Internal

SAP HANA Cloud Platformthe 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

SourcesPartner / 3rd party

integration

SAP, partner and custom

apps

ApplicationServices

Page 52: USF IoT & Big Data Presentation

© 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 CloudIoT 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 Integratio

n

Process Integratio

n

IoT Applications(SAP, Partner and

Custom apps)

Page 53: USF IoT & Big Data Presentation

Enabling the Internet of Things with SAP solutions

SAP Predictive Maintenance &

Service

SAP Connected Logistics

SAP Connected

Plant

SAP Connecte

dRetail

SAP Augmented

Reality

Page 54: USF IoT & Big Data Presentation

SAP Predictive Maintenance and Service

MaintenanceEngineer

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

Page 55: USF IoT & Big Data Presentation

John Deere – reimagining business models

"We are moving from a manufacturing company

to a solutions-based enterprise"

Page 56: USF IoT & Big Data Presentation

© 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“

Page 57: USF IoT & Big Data Presentation

© 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

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© 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

Page 59: USF IoT & Big Data Presentation

© 2011 SAP AG. All rights reserved. 59Internal

SAP Connected Logistics

SAP HANA Cloud PlatformLogistics

Container

Asset investmentmanagementInfrastructure

OnDemandServices & Offerings

form SAP and 3rd party

Sea routes or canalsMonitoring

Telematics offeringsGeo- and Traffic

monitoring & controlIn the terminal

loading & unloading

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“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

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SAP Connected Manufacturing

Quality DepartmentEH&S

Performance Management

VP OperationsSustainable Operations

Quality Management

Production Planning

Materials ManagementPhysical Asset Level

SAP HANA Platform

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© 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!

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63

SAP Internet of Things for Business!

Connect | Transform | Reimagine

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Thank you!http://www.sap.com/iot

@SAP_IoT

SAP Internet of Things

SAP Internet of Things

Timo Elliott, Innovation [email protected]@timoelliott