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SAP Leonardo Vehicle Insights Architecture Overview

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SAP Leonardo Vehicle Insights Architecture Overview

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SAP Leonardo Vehicle Insights Architecture Overview

  1. 1. SAP Vehicle Insights Architecture Overview
  2. 2. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 2Public SAP Vehicle Insights Benefit Areas and Features Time-To-Market / Speed of Realization Performance & Big Data • Flexible and powerful data model • Large amounts of telematics data • Multi temperature data storage* Analytics & Prediction • Flexible reporting via Business Objects Cloud • Easy configuration of analytical models • Provisioning of predictive libraries and tools Content & Services • Delivered content for data transformation • Geo services and geo-fencing • Full featured development approach for extensions • Flexible and extensible “Thing” data model • Consumption of provided services UI & Visualization • Maintenance and configuration UIs • Geo-Fence Administration • Driver portal data insights • Map visualization and integrated analytics Business Integration • Delivered business logic and scenarios • Combined analytics with business and vehicle (telematics) data • Integration into business processes SAP Vehicle Insights
  3. 3. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Public SAP Vehicle Insights - Architectural Overview Vehicle Data Integration Any Data Source SAP Suite & S/4 HANA SAP HANA Cloud Platform Flexibility,Scalability&Extensibility Business Integration “Thing” Data Model OData Service Layer Data Processing Foundation Services > Geo | Predictive | Time Series | Rules Data Transformations Predictive Models Geo and Map Services Analytical Services Data Access Services Other Services User Interfaces Analytics End-2-EndConnectivityandDataSecurity Roles & AuthorizationData Access
  4. 4. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Public SAP Vehicle Insights - Function & Feature Overview Vehicle Data Integration Inbound Messaging (Preferred) • SVI Inbound Endpoint (Out-of-the-box) • Out-of-the-box option for the integration of data • Supports HTTPS communication and JSON/XML data load • Authentication via BasicAuth • Mapping content for various devices • IoT Services (Customization needed) • Two-way communication between SVI and the edge device • Supports HTTPS, WebSockets and MQTT • Authentication via oAuth preferred Inbound Messaging (Project specific) • Smart Data Streaming • Supports handling of streaming data including filtering, data preparation and calculations • Remote Data Synchronization • Supports offline-online scenarios with offline data collection and synchronization as soon as the device is online again • Requires software components to run on the edge devices as well Vehicle Data Integration
  5. 5. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 5Public SAP Vehicle Insights - Function & Feature Overview Business Integration OnPremise to Cloud Connection • SAP HANA Cloud Connector • The cloud connector allows to establish a secure connection from an onPremise landscape into the SVI • This enables the transfer data from onPremise to cloud or to load data from the onPremise system • OData Service Interface • SVI can provide an OData interface to which data can be transferred from the onPremise systems Integration Scenarios • Integration scenarios into onPremise enterprise systems are realized on a project-basis • There are two different types of scenarios that have to be separated • Business Data Integration • Integration of data from the enterprise systems in order to combine this data with data from vehicles • This allows to provide advanced predictive algorithms and data transformations • Business Process Integration • The process integration allows to automate business processes and to transfer data into the involved enterprise systems Business Integration
  6. 6. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 6Public SAP Vehicle Insights - Function & Feature Overview Thing Data Model Thing Data Model • Flexible data model with an advanced entity inheritance concept (e.g. Car  Vehicle  Thing) • Advanced concept for data grouping • Core Entities: Country, Image, LegalEntity, Person, UoM, Thing • Vehicle Entities: Vehicle, TelemetryUnit, DTCEvents, Route, Trip, TripSegment, Track, RoadType, • Data Entities: TimeSeriesItem, GeoSeriesItem, LocationInfo • Full extensibility via specialization of the respective entities and extension of parameters Pre-Configured Parameters • Preconfigured list of more than 36 parameters supported out-of-the-box • Trip parameters like recorded distance, trip segments, recorded time or time since start • Engine parameters like coolant temperature, mass airflow, oil level or battery voltage • Service related parameters like distance to next service or time from last services • Driving related parameters like throttle/brake pedal position, gear or fuel consumption • Flexible definition of additional parameters via configuration user interface “Thing” Data Model
  7. 7. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 7Public SAP Vehicle Insights - Function & Feature Overview Data Processing Foundation Services Geo-Spatial • Distance and Area • Point in Polygon • Convex Hull including Aggregation • Intersect, Difference, Union Predictive • Clustering Algorithms • Classification Algorithms • Regression Algorithms • Association Algorithms • Time Series Algorithms • Data Preprocession Time Series • Vertical Time Series Aggregation • Horizontal Time Series Aggregation • Horizontal Time Series Disaggregation • Time Series Data Load Rules • Rule Definition via Decision Table • Rule Definition via Natural Language • Rule Testing • Rule Execution and Action Data Processing Foundation Services
  8. 8. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 8Public SAP Vehicle Insights - Function & Feature Overview Data Transformations Available Transformations • Cleansed Mileage Calculation • Trip and Segment Determination • Detailed Geo-Coding and Road Assignment • Gear Recognition • Advanced Distance Calculation • Advanced Time Calculation Planned Transformations* • Road Assignment and Matching • Route Determination • EcoScore Caluclation • Cross Vendor Fuel Consumption Calculation Realization of Transformations • Transformations are scheduled calculations that allow to analyze and transform detailed vehicle data and store the results in a target table • The realization options are • SQLScript  SQL dialect that allows to directly work with the data • Javascript  Functional development of transformation logic based on a common programming language Data Transformations
  9. 9. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Public SAP Vehicle Insights - Function & Feature Overview Predictive Model Available Predictive Models • Distance Prediction • Calculation of the expected distance for a specific car and route based on historical data • Frequent Trips • Calculation of trips and routes that are frequently traveled by a driver • Location Clustering • Calculation and clustering of all involved locations Realization of Predictive Models • Predictive models are scheduled or non- scheduled calculations that use the algorithms from the predictive libraries of SAP Vehicles Insights / SAP HANA Cloud Platform • The realization can be done within SQLScript or with predictive tools provided by SAP, like SAP Predictive Analytics Predictive Models
  10. 10. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 10Public SAP Vehicle Insights - Function & Feature Overview Services (Data, Analytical, Geo, Others) Data Access Services • Master Data Services • Interfaces to all master data entities supporting all CRUD operations • Data Services • Interfaces to all operational data entities including CRUD and analytical operations Analytical Services • Access to the Fleet Cube Analytical View • Can be accessed from Cloud 4 Analytics / Business Objects Cloud or other analytical tools Geo Services • Geocoding Service / Reverse Geocoding Service • Street / Road Type Determination • Geo-Fencing and Alerting Services (Data, Analytical, Geo, Others)
  11. 11. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 11Public SAP Vehicle Insights - Function & Feature Overview OData Service Layer OData Interface • Automatically Generated OData Interfaces for all Provided Services • HTTP / Rest-Based Access OData Service Layer
  12. 12. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 12Public Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related document, or to develop or release any functionality mentioned therein. This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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