Big Data und Data – Science Anwendungen bei einem

Landmaschinenhersteller

Kevin Ueckert

02.08.20182

Ringvorlesung Digitale Transformation FH Münster

1.

4.

3.

2.

Digitales Transformationsprogramm

Plattformen: CLAAS CONNECT 2.0, 365 Farmnet, Work - ON

Greenhouse

Data Science

Digitalisierung und Data Science Anwendungen bei einem Landmaschinenhersteller

CLAAS im Überblick

02.08.20183

Die Produkpalette

02.08.20184

Digitalization is here.

German Farms are more digital than German Factories

Bildquellen: bitkom / heise / monsum / fir

5

02.08.20185

Agricultural Technology Start-ups

Silicon Valley detects Ag Business

02.08.20186

Danger of Disruption

X02.08.20187

Machine services

Field monitoring

Prescription services

Other services

We address the digital challenge from two directions

Evolution of product offer in digital context

+

365 Farmnet– Multi-brand service solutions

CLAAS core business – Equipment based solutions

Smart

product

Smart, connected

product

Product

systems

Back-end

Platforms

Front-end

ServicesProduct

+

+

Farm Mgmt.

&

Information

System

+

+

+

…

…

……

+ +

+

Prioritization & Interactions

02.08.20188

02.08.20189

Ringvorlesung Digitale Transformation FH MünsterDigitalisierung und Data Science Anwendungen bei einem Landmaschinenhersteller

1.

4.

3.

2.

Digitales Transformationsprogramm

Plattformen: CLAAS CONNECT 2.0, 365 Farmnet, Work - ON

Greenhouse

Data Science

365 Farment

02.08.201810

365FarmNet

The innovative Software Solution for Farmers

02.08.201811

BUSS Digital

Online Shops and Platforms as Digital Frontend

12

Parts Doc

(2008)

CLAAS Shop(2014)

Farm Parts (10/2014)

Parts Shop(04/2015)

Customer

Applicati

ons

Easy Shop(05/2015)

FIRST CLAAS DEALS(10/2015)

FIRST CLAAS USED(10/2015)

CONNECT Registration(10/2015)

FIRST CLAAS PLUS(11/2015)

CLAAS CONNECT(11/2015)

02.08.201812

GOAL FOR CLAAS CONNECT 2.0

Merge CLAAS digital customer touchpoints to one

customer experience that offers the user remarkable

benefits from our dealers, our partners and from CLAAS

directly

1st month: August 2017

IT-s

tre

am

Meth

odolo

gy

19 on-side

interviews

> 3.000 km on

the road „Jeder, der kleine Probleme hat

ruft mich an. Oft wegen

Maschineneinstellungen. Wenn

das Telefon immer schellt, da

schafft man wenig“

Herr Wiemers

„Ersatzteile zu bekommen dauert

immer zu lange! Manchmal bestellen

wir Taxen. Verschleißteile müssten

eigentlich schneller verfügbar sein.“

Herr Schlienkamp

„Der Schlosser hat sich den Schaden mehrmals

angeguckt. Dazu haben wir zig Bekannte

angerufen, ob sie uns weiterhelfen können. Es

hatten doch bestimmt schon andere das Problem.

Die Lösung muss man doch irgendwo ablegen.“

Herr Wiechert

„Wenn ich Tipps zur

Schädlingsbekämpfung

oder so brauche frage ich

einfach meine Kollegen.“

Herr Haller55 man-days

(interviews)

66 man-days

(IT-dev.)

• Setup AWS-Infrastructure

• Workshop to determine Claas Connect 1.0 SSO functionality

• Workshop Registration

• Quantitatives Testing Konzeption

• Initial Setup

• Design

• Technical validation

• User service implementation

2nd month: September 2017

IT-s

tre

am

Meth

odolo

gy

30 man-days

(ideation)

90 man-days

(IT-dev.)

• User service implementation

• Password reset feature

• Communication interface between services

• Architecture Planning

• User Stories

• Design

• Footer implementation

• Header implementation

• Finishing styling for registration process

• Cookie banner implementation and form styling implementation

• Landing Pages, Tracking

• Auth pages

• Implementation of machines service authentication and api

• API’s (SAP PI/PO) => Machine List, Registration

8 Pain-

ClusterFocus on 4

Pain-Cluster

76

Pains/Needs

?4 POVs 8 WKWs

10 interviews

(Scribble-testings)

Evaluation of

ideas

Landing

Page Test

5 Scribbles

108 Ideas 4 Idea Canvas

3rd month: October 2017

IT-s

tre

am

Meth

odolo

gy

30 man-days

Ideation &

Scribbles

200 man-days

(IT-dev.)

• Cookie Banner styling update

• Footer / Footer styling fixes

• Common component creation for pages

• Shops Page

• Applications Page

• FE Bug fixing

• Overview Page

• 404 Page

• Login Page Content Section

• Machine Detail

• Overview Page

• Testing

• Innovate API’s

• Implementation

• Mobile Designs

• Protoytpe Test & Implementation

• Full registration process implementation

• Form validation

• BE integration, state management, UI integration

4th month: November 2017

IT-s

tre

am

Meth

odolo

gy

23 man-days

(interviews)

30 man-days

(IT-dev.)

• Implementation

• Mobile Design

• Testing

• Error Code

• Machine

detail page

• Digital service

booklet

40 face-to-face

interviews @

agritechnica

We are here

• Open to

online

purchasing

• Strong

personal

relationship to

dealer

• Difference to

TELEMATICS

• Only for large

farmers?

• Needs to stay

intuitive

• Portal must

offer

immediate

added value

CLAAS connect 1.0 towards CLAAS connect 2.0

From bundled offers with SSO to Connected Partners

WIRE FRAME –

no design concept

02.08.201818

Platform

Farmer

Contractor

Supply Demand

02.08.201819

02.08.201820

Ringvorlesung Digitale Transformation FH Münster

1.

4.

3.

2.

Digitales Transformationsprogramm

Plattformen: CLAAS CONNECT 2.0, 365 Farmnet, Work - ON

Greenhouse

Data Science

Digitalisierung und Data Science Anwendungen bei einem Landmaschinenhersteller

Change of Working mehod

It is not about the WHAT, it is about the HOW to digitize CLAAS

Design Thinking, Lean Start Up, Story Telling, Visual Facilitation…

USER is in the center!

EMPATHIE

Testing Culture

02.08.201821

Sanbox WorldConcept

123

4

5

6

7

8

Project & Coworking Area:

• Agile & freely movable equipment

• everything on casters

• No meeting rooms – space for project work

• easy modern design

• small number of seats

• open concept

• Huge modern presentation area

• Sandbox Arena

• For everybody

Support creativity

Support interdisciplinary work

Sandbox

Arena

Coworking

Area

02.08.201822

02.08.201823

Ringvorlesung Digitale Transformation FH Münster

1.

4.

3.

2.

Digitales Transformationsprogramm

Plattformen: CLAAS CONNECT 2.0, 365 Farmnet, Work - ON

Greenhouse

Data Science

Digitalisierung und Data Science Anwendungen bei einem Landmaschinenhersteller

02.08.201824

Data ScienceMission Statement

Build new data-driven

applications for our customers

and for internal usage

Provide data analytics to

support decision processes

Use state-of-the–art

technology which fits our

needs

Provide CLAAS employees

with the data they need and

the right tools, so they can

analyze on their own

In the next years and especially in the

context of digitalization, the capability of

processing data becomes more and more

a success factor for the company.

02.08.201825

Data ScienceDetails Statistics

No matter if machine learning orAI is applied: statistics is thebase for every analysis.

BusinessUnderstanding businessprocesses and the pain points in the daily business is key to find solutions for other CLAAS departments.

Software engineeringAll data processing and analysis isdone with programminglanguages. Software engineeringis a very important sucess factor.

Artifical IntelligenceUse latest AI methods to solvebusiness problems.

Machine learningCore competence of theData scientist. Find hiddenstructures in data.

TechnologyHorizontal scalableinfrastructure is often the onlyway to process Big Data.

Used machines analysis: total cost of ownership

02.08.201826

1.

2.

CRM Usage Analysis

02.08.201827

o The implementation of a crm system is not useful if its not used in

a proper way

o With this analysis we measure the usage of the crm systems VIA

and Salesforce

o Benchmark the different Sales Companies

o Enhance data quality and sales process

Goal to reach

o VIA Usage Analysis FJ 2016 Definition of targets for FJ 2017

based on this Analysis

o VIA & Salesforce Analysis FJ 2017

o The Analysis is valued by the regional presidents

o They want to get the analysis monthly instead of one time per

year

Achivements

TELEMATICS

02.08.201828

Test bench cycle optimazation

02.08.201829

o Test bench cycles are based on estimations

o Use real – world data and descriptive

statistics to provide desicion support

o Analysis of differen harvesting processes like

grain tank unloading, continously harvesting

or turn duration

The Analysis

o Test cycles are based on real-world

customer usage

o Data can also be used for machine parts

which are newly developed

o Save quality and test bench budgets

o Prevent over engineering but guarantee

quality for customer usage

Achivements

Efficieny of CEMOS Auto Threshing

02.08.201830

Benchmark your fleet

02.08.201831

o Benchmark: Understand how the harvester

compares to other machines in his region

(1)Total machine utilization on all crops, acres,

and bushels.

(2)Harvesting events analysis on operation

time status and performance details

(3) Input versus output correlations by crop type

The Analysis

o Enhanced TELEMATICS data analytics report to

support decision agricultural efforts

o connecting analytics speed and action regarding

machine and operation‘s performance

o Application validated by real customer in every

Sprint

o Prototype development: Sprint 8/10

Achivements

The Analysis

Working width – completely automated documentation

02.08.201832

o TELEMATICS is used for documentation, but there are some

processes, which cannot be documented right now with telematics

o For example: working width of forage harvesters, which is currently

configured manually by driver

o Based on historic data support vector machines are being trained to

predict the working width based on other parameters like machine

speed or yield

The Analysis

Support Vector Machine

Provide TELEMATICS data to CLAAS departments

02.08.201833

34

Elemente des digitalen Unternehmens

DIGITALES GESCHÄFTSMODELL

DIGITALE PROZESSE

DIGITALISIERTE

MITARBEITER

SmartDevices

DIGITALISIERTE

MASCHINEN & ROBOTER

EingebetteteSysteme

IT-SYSTEME

ERP CRM

SRM HADOOP …

LIEFERANTEN

mit digitaler

Anbindung

IT-Systeme

VERNETZUNG

Intern und extern

Prof. Dr. Appelfeller | Prof. Dr. Feldmann | Fachhochschule Münster

Das digitale Unternehmen

B-to-B-

KUNDEN

mit digitaler

Anbindung

B-to-C-

KUNDEN

mit digitaler

Anbindung

SmartDevices

IT-Systeme

DIGITALE DATEN

Daten aus

diversen Quellen

DIGITALISIERTE

PRODUKTE

EingebetteteSysteme

Kevin Ueckert CLAAS KGaA mbH, IS-SC

Münsterstraße 33

D-33428 Harsewinkel

mailto: kevin.ueckert@claas.com

Vielen Dank für ihre Aufmerksamkeit.

Best Practices - Vorgehensmodell

36

Marketing in Dialogen /

Terminen

Präsentationen in

Abteilungsrunde

Use Case Präsentationen

Ideen aus dem

UnternehmenMini-Praktikum

Workshops mit Abteilung

Data Understan-

ding

Data Preparation

Modeling

Evaluation

Business Understan-

ding

CRISP - DM

Dokumentation der Projekte – Optimierung Logistik

37

Complexity & Risk

Data Export from SAP could be

complicated

Timeframe

Finish Q3 2017

o Build prototype which optimizes the

number and timeframe of supplied articles

to find the optimum between which, when

and how much of the articles are ordered

o It can be chosen from weighting the logistic

costs or the place the trailers need

o Rules (like article a has to be in stock more

than 8 times) can be added

o Solution can be transffered to different

logistic applications

o This logistic problem is between having

enough articles in stock, minimizing logistic

costs and saving space in the stock

o We can formulate this problem as a

mathematic equation and find the Optimum

with Linear Programming

o Some articles are stored in trailers instead

of in the stock

o CLAAS employees are controlling which,

when and how much of the articles are

ordered from our suppliers

Initial Situation

Stakeholder

Customer

Marketing

R&D

Sales

Branding QM:

Benefits

Budget & Resources

10 Days from Kevin

Goal to reach

Production Pricing

Service Dealer

Steuerung der Projekte

38

After Sales

Plus

Aufwand

po

ten

tial

effort

Chaff length

Tableau

Server

Missing Parts

BDE data-

managementRegional

Benchmarking

360°

Customer

Web Scraping

Testcycle

optimization

Fleet Set

Connect

Analysis

Conversion

R & R Hadoop

Trailer Parc

Optimization SAP BW ->

Hadoop

Monitoring

UMC

Legende:

CT Clutch

Knowledge-

transfer

Customer

segmentation

Machine data

Sales

Social Media

Analysis

Production

Infrastructure

Survey Digital

Transformation

Organization

Basic Set Up

Cross Selling

CEMOS AUTO

THRESHING

Sales support: OV

machine data

Combine Harvester

settings

Forage harvester

knife sharpening