17
. Process Mining & Data Analytics Deutsche Telekom Services Europe

Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

  • Upload
    others

  • View
    18

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

.

.

Process Mining & Data AnalyticsDeutsche Telekom Services Europe

Page 2: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

2

DEUTSCHE TELEKOM SERVICES EUROPEOUR EXPERTISE AND EXPERIENCE

We enable our customers to optimize their processes by offering high quality, innovative and efficient services at competitive costs.

FINANCE

▪ Financial and customer accounting for more than 80 companies

▪ Over 330 million direct debits

▪ Financial statements for around 200 companies

General AccountingCustomer Finance

▪ Centralization of Management Reporting within the Group

▪ Controlling Service

▪ Green Controlling Award

REPORTINGConsolidationReport creationPlatform Management

▪ 750,000 contacts in contact management

▪ 2,6 million payroll accountings

▪ 1 million travel reservations

HRRecruiting & Staffing Salary OutplacementTime ManagementHR Administration

▪ 2 million order items▪ High level of automation▪ 7 billion € procurement

volume

PROCUREMENTProcurement process (Request to Invoice)Payment preparation and execution

Page 3: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

SAP ARIBA – 3 TRILLION REASONS end-to-end. Digital. Best in class.

3

fullyDIGital

30new sourcing

events per week

2 Miodocumentsexchanged

In 2019

8.000+ suppliers

47company

codes

10%savings per

Rfx

Transparent PTP process

> 1 Mio € savings

NegotiatedIN 2019

Lead time reduction by

5 days

Page 4: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

PROCESS ARIBA SOURCING - REQUEST TO ORDER

4

Publish RFxSet RFx

Publish offer

RFx

& participation

agreement

acknowledgement

Conduct and

document award

Transfer shopping

cart to Ariba

Receive PO

Update shopping cart

DTSERequestor Supplier

SRM

My Store

shopping cart

In case of eAuction;

publish first offer prior

event

Submit shopping

cart

Assess offers

Follow-up

Clarification of questions and general communicatiton

Observe RFx

Page 5: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

SAP ARIBA NETWORK - ORDER COLLABORATION (ORDER TO INVOICE AND PAYMENT STATUS)

5

Telekom Supplier

Purchaseorder

Approval

Goods receipt

InvoiceERS

GR -notification

InvoiceERS

Service entry sheet / Shipping

notification

PO confirmatio

n

Change

SAP

Arib

a

ERP

Contract

Payment status

Purchaseorder

PO confirmatio

n

Page 6: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

DATA IS THE NEW GOLD

6

#2Process Mining

#3Real Time

Alerting

#1KPIs & Business

Controlling

Page 7: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

PROCESS MINING, VISUALIZATION & DATA ANALYTICS – WHERE WE COME FROM

7

Machine learning & Predictive analytics

Prescriptive analytics

What will happen?Raw data

Cleaned data

What happened?

What should I do?

Standard reports

Explorative process visualization

Self-service BI Ad hoc

reports & OLAP

Celonis

2019

Why did it happen?

Page 8: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

PROCESS MINING & ANALYTICS SUCCESS STORY @ DTAG

8

> 150 Use Cases

> 1.500 User

P2P, B2S, HR

Processesalready

live

> 1 Mio. EUR

operational savings

Machine Learning

& Advanced Analytics

ready

100% Trans-

parency

2020

2021+

Page 9: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

ALL RELEVANT INFORMATION IN ONE VIEW

9

End-2-End KPI Reporting

By an effective KPI Reporting & Business Controlling managers and experts are able to keep track of thebusiness development and can takeeffective measures more easy.With Celonis it is possible to createKPIs from End-2-End processperspective and get new insights on your data.

OPERATIONAL REPORTS FOR IMMEDIATE

SAVINGS REALIZATION

INDIVIDUAL KPIs AND REPORTING

CONFIGURABLE REPORTS

#1KPIs &

Business Controlling

#2Process Mining

#3Real Time Alerting

Page 10: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

X-RAY YOUR ACTUAL PROCESSES

10

Process Mining

Process Mining uses the digital traces of IT-supported processes to reconstruct and visualize what really happens in a company – across departments, IT-systems, and in real time. It shows all of the process variants, uncovers hidden weaknesses and optimization potential.

INCREASE EFFICIENCY,

SAVE TIME AND MONEY

PROCESSES AS THEY

OCCUR IN THE REAL WORLD

UNDERSTAND ROOT CAUSES & DEVIATIONS

#1KPIs &

Business Controlling

#2Process Mining

#3Real Time Alerting

Page 11: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

BE INFORMED IN REAL TIME ABOUT BREACH OF RULES

11

Real Time Alerts

Mass data can be analyzed in regards to identify process weaknesses & breach of rules. Through real time alerts process owners will be notified about breaches and a predefined workflow to handle these alerts is started. Process alerts can be used for ICS control handling.

Real time alert handling

Free customizable process alerts

Workflow management in salesforce

#1KPIs &

Business Controlling

#2Process Mining

#3Real Time Alerting

Page 12: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

AN ARCHITECTURE TO FIT ANY NEEDS

12

HANA

Relationalsource systems

Centraldata lake

SLT

PSLSRMOFI PSL Int

P02 TI9 AMS

Distributedsource systems

Planned

+ Machine learning server

ELOG Filo

PASM DFMG

Ariba

DKK

Page 13: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

OUR PRODUCT PERSONAS

13

Business Analyst Has the business know how.

Can translate business needs into IT requirements.

Conducts complex analyses.

Executive / Business UserMonitors Process performance on

KPI level. Gets intelligent recommendation

to execute the right actions.Sets simple filters to easily identify

root cause for deviations.

Data AnalystTranslates data into actionable business insights. Create target

oriented analysesto transform the business.

Data ScientistTechnically connects and

maintains Celonis processes. Creates and maintains the data

models in the backend.

Page 14: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

CENTER OF EXCELLENCE @ DTSE

14

IT Operations

Data Analyst

Data Scientist Data Analyst2

IT Project Management Project LeadProject Lead/Program Steering1

IT Second Level Support

Executive/Business User

First Level Support

Second Level Support

3

IT BusinessCenter of Excellence - DTSE

Business Analyst

Page 15: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

OUR PROJECT APPROACH

15

1. IT Setup & Requirements Definition 2. Process Analytics 3. Business Analysis 4. Handover & Closure

Kick-off & Requirements definition

▪ Process Mining & Analytics Introduction

▪ Requirements Workshop

IT Setup

▪ Identification of IT requirements

▪ Preperation of source systems

Data Model Deployment

▪ Event log creation

▪ Data model development

Analysis Development & Visualization

▪ Customization of analysis & alerts

▪ Go-Live

Validation & Refinement

▪ Validation of process flow

▪ Validation of data

▪ Refinement of analysis

Value Realization

▪ Use case generation

▪ Business trainting

Documentation & Handover

▪ Business & technicaldocumentation

▪ Business & technical handover

Project closure

▪ Final presentation

▪ Formal sign off

5. Project Management

6. User Training

Iterative

Page 16: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

USE CASES ALONG THE VALUE CHAIN

16

Customer Journey Processes

Order toActivation/Cash

Customer move/ after move

ProductLifecycle

Lead to Project, Lead to Cash

Salesforce

Customer Service

Field Service

Procurement Accounts Payable/ Receivable

Record to Report Audit/Compliance

Master DataManagement

HumanResources

Plant Maintenance

Logistics/ Warehousing

ITSM

Operations Strategy, Infrastructure & Product

Support Processes

✓ ✓ ✓ ✓

✓ Mature implementation

✓ Implementation started

Page 17: Process Mining & Data Analytics - SAP · Machine learning & Predictive analytics Prescriptive analytics What will happen? Raw data Cleaned data What happened? What should I do? Standar

THANK YOU!