ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA DR. JOHANN PRENNINGER

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1 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA DR. JOHANN PRENNINGER

2 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA AT BMW 1 Contents 2 State of the Art On- and Offboard Vehicle Diagnosis 3 Analytical Challenges, the customers view 4 The FACTS process for agile Analytics at BMW 5 Conclusion Page 2

3 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA AT BMW 1 Contents 2 State of the Art On- and Offboard Vehicle Diagnosis 3 Analytical Challenges, the customers view 4 The FACTS process for agile Analytics at BMW 5 Conclusion Page 3

4 DIAGNOSIS AND REPAIR. TOUCHPOINTS TO THE PROCESSES OF THE DEALERSHIP Service advisor Data ReadOut Diagnosis & Repair Data Transfer Analysis & Reporting Customer visit of service station for service or repair. Service advisor is picking up the car and the original statement (otone) of customer. Mechanic performs diagnosis, reads out onboard data, failure messages etc. Big picture of failure situation. Repair is done as proposed and guided by diagnosis software. Diagnostic / technical data is created/logged at this time. Data transfer of technical and business data to the headquarter. Storage in different data warehouses. Interpretation and analysis of the data. Check and Payment of Warranty Claim. Starting point for Data Mining. Page 4

5 DIAGNOSIS AND REPAIR START MUCH EARLIER. CUSTOMER IMPRESSION AND FEEDBACK IS VALUABLE TeleServices Connected Drive Internet Forum, Customer survey TeleServices, Connected Drive, Internet Forum, The driver produces data about his driving experience. He expresses himself online about product issues. He is occasionally asked via surveys and studies (TÜV, IACS, JD-Powers, ) The customer expresses & shares his aftersales experience online. He is asked individually about his service / repair experience. He evaluates his satisfaction. Page 5

6 ONBOARD DIAGNOSIS DELIVERS AN INTENSIVE MIX OF DATA OF A COMPLEX FAILURE-SITUATION Series Diagnose- Zugang optional Zentrales Gateway Modul Diebstahlwarnanlage Anhängemodul Mensch- Maschine- Interface Car Access System Fahrzeugzentrum Schaltzentrum Lenksäule Adaptive Cruise Control Digitale Diesel /Motor Elektronik 1 1-Achs- Luftfeder Park Distance Control Audio System Kontroller Kombiinstrument Türmodul Fahrertür Türmodul Beifahrer A-Säule links A-Säule rechts Aktive Roll- Stabilisierung Digitale Diesel /Motor Elektronik 2 Bedienzentrum Mittelkonsole Bedienzentrum Mittelkonsole Fond Antennentuner Multi Media Changer Türmodul Fahrerseite hinten Türmodul Beifahrerseite hinten B-Säule links Sicherheits- u. Informationsmodul B-Säule links Dynamische Stabilitätskontrolle Adaptive Light Control Reifendruckkontrolle Chassis Integration Module Videomodul Audio-CD Wechsler Sitzmodul Fahrer Sitzmodul Beifahrer Sitz Fahrer Sitz Beifahrer Elektronische Getriebesteuerung Elektronische Dämpferkontrolle Regensensor Schiebehebedach Navigationssystem Kopfhörerinterface Sitzmodul Fahrer hinten Sitzmodul Beifahrer hinten Tür vorne links Tür vorne rechts Elektromech. Feststellbremse Drehratensensor (kein SG) Lichtschaltmodul Wischermodul Verstärker Spracheingabesystem Heckklappenlift Powermodul Sitz hinten Heizungsbedienteil Controller Telefoninterface Heizungsbedienteil (Fond) Standheizung/ Zuheizung Page 6

7 VEHICLE DIAGNOSTIC DATA TODAY. QUANTITY AND VARIETY OF ON- & OFFBOARD DIAGNOSIS ~17 Mio. Vehicles in the field Diagnose- Zugang ~4.000 dealerships in 90 countries, ~ service people Series optional Zentrales Up to 65 Electronic Control Units in a single BMW Gateway Modul Mensch- Diebstahl- Anhänge- Fahrzeug- warnanlage modul Maschine- Access Schaltzentrum Interface zentrum Lenksäule individual, selectable Car Options System 1-Achs- Park Distance Audio System Kombi- A-Säule Luftfeder Control Kontroller instrument Türmodul Türmodul A-Säule links >1 GByte Functional Software, Fahrertür 15 Beifahrer GByte Data onboard rechts Bedienzentrum Sicherheits- u. Bedienzentrum ~2.000 Multi Media Türmodul Türmodul Mittelkonsole Customer Antennentuner relevant Software Functions B-Säule links Informations- B-Säule links Mittelkonsole Changer Fahrerseite Beifahrerseite Fond hinten hinten modul Chassis Reifendruck- Audio-CD Integration Videomodul Sitzmodul Sitzmodul Sitz Fahrer Sitz Beifahrer kontrolle Wechsler Module Fahrer Beifahrer ~3.000 Metric Values in all ECUs in average per car Sitzmodul Schiebehebe- Navigations- Kopfhörer- Sitzmodul Tür vorne Tür vorne Regensensor dach system interface Fahrer hinten Beifahrer hinten links rechts ~ Testmodules for all BMW series Lichtschalt- Spracheingabe- Heckklappen- modul Wischermodul Verstärker system lift Powermodul Sitz hinten ~ Schematics documents Heizungsbedienteil Controller Telefoninterface Adaptive Cruise Control Aktive Roll- Stabilisierung Dynamische Stabilitätskontrolle Elektronische Getriebesteuerung Elektromech. Feststellbremse Digitale Diesel /Motor Elektronik 1 Digitale Diesel /Motor Elektronik 2 Adaptive Light Control ~ Diagnostic Trouble Codes implemented in Onboard Diagnosis Heizungs- Up to Standheizung/ Diagnosis Sessions per day worldwide bedienteil Zuheizung (Fond) total size of DataWareHouse >> 30TByte Elektronische Dämpferkontrolle Drehratensensor (kein SG) Page 7

8 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA AT BMW 1 Contents 2 State of the Art On- and Offboard Vehicle Diagnosis 3 Analytical Challenges, the customers view 4 The FACTS process for agile Analytics at BMW 5 Conclusion Page 8

9 MATURIY LEVELS IN VEHICLE DATA ANALYTICS. EVEN SIMPLE QUANTIFICATIONS ARE VERY BENEFICIAL Level 1: Count / Know Advice Level 2: Qualify / Compare Predict Count Level 3: Analyse / Understand Level 4: Forecast / Predict Analyse Qualify Level 5: Suggest / Advise Page 9

10 PREDICTIVE ANALYTICS CHALLENGE: FEEDBACK DATA TO REALIZE COHERENCE AND CAUSALITY Diagnostic Trouble Codes Environmental Conditions Symptoms, Testplans Testmodules, DiagnosisCodes coherence Vehicle-Identification ECU Metrics Repair Advice Defect Codes LabourCodes Replacement Parts causality Vehicle Design Failure Avoidance Test Strategy Failure Appraisal Quality Function Deployment Production Optimisation PartsQuality + Dimensioning Customer Understanding Customer Sensitivity Page 10

11 DATAMINING THE DIAGNOSIS PROCESS IN DETAIL. VISUALISATION OF THE OFFBOARD DIAGNOSIS Page 11

12 A-PRIORI ANALYTICS TO FIND ADVANCED CUSTOMERS USAGE AND FAILURE PATTERNS Numerous events during a vehicle s Lifecycle (production, diagnosis, warranty, etc) All chains of events for cars with a specific defect All chains of events for all cars. Millions of historic datasets of the BMW & Mini fleet. Billions of individual attributes available. Find the causal failure patterns in vehicles with specific critical defects using a Sequence Analysis. A-priori datamining methods with SystemML in a BigData environment compute results near realtime BMW & IBM Corporation Page 12

13 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA AT BMW 1 Contents 2 State of the Art On- and Offboard Vehicle Diagnosis 3 Analytical Challenges, the customers view 4 The FACTS process for agile Analytics at BMW 5 Conclusion Advanced Automotive Diagnostic Systems, Page 13

14 THE FACTS PROCESS AT BMW. FIELDDATA ANALYSIS FOR CUSTOMER SATISFACTION Internal Customer (Requirements) Satisfaction... What... Qualtiy... after Field... Problems... in [%]? helps? Warranty? penetration? Repair? Self-Service Analytical Helpdesk (Tickets) Servicehistory Diagosis &... Analysis... of Repeat... Visit Monitoring TÜV-Targets Repeat Repair Monitoring Flashupdates Apps for internal R&D experts (actually more than 120 Apps available) Support of professionals Analytic- Dashboards and Applications (OnePager / project description ) CoC Experience in DataMining Data assignment DWH DMS Teleservice Parts Vehicle market FBM FBM-Viewer Making the data available file group wide. radar... Datasources and interfaces Page 14

15 THE AGILE FACTS PROCESS. CRISP DATA MINING AND SCRUM COMBINED FACTS Process - CRISP & SCRUM: Typical FACTSProcess Steps: 1 Request / Question Business Understanding 2 Data Understanding 1 Question of Department X: Automatic Detection of an important vehicle annoyance in the field. 5 Deployment BMW- Data warehouse Data Preparation Balance of request: How can the question be answered with specific data available Initial concept (FACTS) and realization of data load, modeling. Iterative ( Scrum ) enhancements with enquirer. Calculation / Modelling 4 Presentation of Results, evaluation of Business Case and definition of Deployment. Evaluation 4 5 Deployment in FACTS App-Store as Webservice for self-service Realtime- Analysis (defined users with specific access rights). Page 15

16 PREDICTIVE ANALYTICS TOOLS CLASSICAL DATAMINNG TOOLS FOR EXPERTS ONLY. Page 16

17 THE TOOLCHAIN FOR DATA ANALYTICS. INTERACTIVE TOOLSET TO DISCOVER THE ISSUES Page 17

18 THE BMW FACTS ANALYTICAL APP STORE. PREDICTIVE ANALYTICS AS SELF SERVICE PROCESS Welcome to BMW FACTS Analytical APP Store

19 ADVANCED DIAGNOSTICS AND PREDICTIVE ANALYTICS OF VEHICLE DATA AT BMW 1 Contents 2 State of the Art On- and Offboard Vehicle Diagnosis 3 Analytical Challenges, the customers view 4 The FACTS process for agile Analytics at BMW 5 Conclusion Page 19

20 FACTS DELIVERS INTERACTIVE, USER AND CUSTOMER CENTERED BUSINESS ANALYTICS AS SELF SERVICE Understanding the vehicle quality and realizing the customer impression in the field is a complex multidimensional task. On- and off-board diagnosis play an essential role, but need interpretation by the engineers and developers. FACTS delivers a process to answer many questions by combining the data available. Predictive analytics is provided as a set of analytical apps, encapsulated and simplified to deliver results as an interactive self service process. By enabling intensified usage of feedback from the field we understand and improve customer satisfaction. Page 20

21 THANK YOU VERY MUCH FOR YOUR ATTENTION! QUESTIONS? Page 21

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