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Transcript of January 18th 2018 IGC Board Member - Startseite 18th 2018 Prof. Dr. Klaus Möller University of...
Controlling Process Model 2.0
January 18th 2018
Prof. Dr. Klaus MöllerUniversity of St.GallenIGC Board Member
Dr. Klaus EiselmayerThomas Gackstatter M.A.Prof. Dr. Ronald GleichKai GrönkeDr. Jana Heimel*Dipl.-Betriebsw. Peter Löhnert*Prof. Dr. Heimo LosbichlerDr. Uwe Michel*Prof. Dr. Klaus MöllerDr. Rita Niedermayr-KruseDipl.-Kfm. Jens Ropers*Dr. Mike SchulzeMag. Hubert Tretter*Mag. Mirko Waniczek*Dipl.-Kfm. Andreas Zechmann
* part of the team of the first edition
Members of the working group:
2
Outlook: Applications and Use of Process Models3
From IGC Controlling Process Model 1.0 to 2.02
Introduction: The need for process models1
Agenda
3
Outlook: Applications and Use of Process Models3
From IGC Controlling Process Model 1.0 to 2.02
Introduction: The need for process models1
Agenda
4
Initiatives of the International Group of Controlling (IGC)
▲ What competences do controllers have to possess to fulfill their tasks with highquality and to the satisfaction of their stakeholders?
▲ What does performance in controlling departments look likein the context of the IGC process model?
▲ How can controlling performance be measured and managed?
▲ What are relevant processes in controlling?What tasks stem from these processes?
▲ How can these processes efficiently be aligned and calibrated?
▲ What are the implications of adopting and employing IFRS for the controllingprofession and practice?
▲ What is the understanding of the controlling practice and what is the associatedterminology necessary?
▲ How should controllers strategically position themselves?
▲ What mandate and tasks follow from this positioning?
Controller missionstatement
(2002, 2013)
Controllingdictionary
(1998, 2005, 2010)
Controller and IFRS(2006)
Controllingprocess model
(2011)
Controllingprocess KPIs
(2012)
Controllingcompetence model
(2015)
Controllingprocess model 2.0
(2017)
▲ What are the process in controlling (and their changes compared to 2011)?
▲ How can these processes efficiently be aligned and calibrated?
5
Why to model?
Model = a simplified and idealized description of asystem (=group of items forming a unified whole)
à description function
à simplification function
à order function (system)
à reference
à design
à optimize
à compare / benchmark
à certify
6
APQC Framework - Manage Financial Resources
7
As partners of management controllers make a significantcontribution to the sustainable success of the organization.
Controllers …
1. design and accompany the management process of defining goals,planning and management control so that every decision maker can actin accordance with agreed objectives.
2. ensure the conscious preoccupation with the future and thus make itpossible to take advantage of opportunities and manage risks.
3. integrate an organization‘s goals and plans into a cohesive whole.4. develop and maintain all management control systems. They ensure the
quality of data and provide decision-relevant information.5. are the economic conscience and thus committed to the good of an
organization as a whole.
Controllers‘ Mission Statement (International Group of Controlling, 2013)
https://www.igc-controlling.org/services/controller-mission-statement.html
8
Company wide process model
Management processes
ControllingHuman
resourcemanagement
…Governance Qualitymanagement
Environmentalprotection,
health & safety
Support processes
Accounting Personneladministration …IT Legal services Communication
Core processes
Outboundlogistics
CustomerserviceProductionInbound
logisticsMarketingand sales
Project management
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2011 / 2017
9
Outlook: Applications and Use of Process Models3
From IGC Controlling Process Model 1.0 to 2.02
Introduction: The need for process models1
Agenda
10
Controlling
Enhancement of Organisation, Processes,Instruments and Systems
Risk Management
Operative Planning and Budgeting
Cost Accounting
Management Reporting
Project and Investment Controlling
Strategic Planning
Forecasting
Function Controlling (Group, R&D,Production, Sales Controlling etc.)
Management Support
Controlling- Main processes
Settingobjectives Planning Control
IGC Process Model 1.0
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2011
11
Influences on the Process Model
Consultants(e.g. H&P Finance Process Model)
Professional Organisations(e.g. APQC
Financial Management Model)
…
Digitization&
Analytics
IGC ControllingProcess Model 1.0
IGC CompetenceModel
Content
StructureScope
12
Controlling Process Model 2.0
Risk Controlling
Data Management
Business Partnering
Planning, Budgeting and Forecasting
Investment Controlling
Cost Accounting
Management Reporting
Strategic Planning
Project Controlling
Func
tion
Con
trolli
ng(P
rodu
ctio
n-,S
ales
-,R
&D
-Con
trolli
nget
c.)
Further Developmentof Organisation, Process, Instruments and Systems
Analytics
Ana
lytic
s
Analytics
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
13
Main Changes from Process Model 1.0 towards 2.0
Controlling
Controlling - Main Processes
Strategic Planning
Operational Planning and Budgeting
Forecasting
Cost Accounting
Management Reporting
Project and Investment Controlling
Risk Management
Function Controlling (Group, R&D,Production, Sales Controlling etc.)
Management Support
Enhancement of Organisation,Processes, Instruments and Systems
Main Modifications Process Model 2.0Process Model 1.0§Synthesis to „Planning,Budgeting and Forecasting“§Separation of Project andInvestment Controlling§New Process„Data Management“§Coloured differentiation ofprocesses§Function Controlling nowas 2nd dimension§Management controlprocess now circular
Involve§Analytics§ In/Outsourcing ofprocesses§Competences
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
Risk Controlling
Data Management
Business Partnering
Planning, Budgeting and Forecasting
Investment Controlling
Cost Accounting
Management Reporting
Strategic Planning
Project Controlling
Func
tion
Con
trollin
g(P
rodu
ctio
n-,
Sal
es-,
R&
D-C
ontro
lling
etc.
)
Further Developmentof Organisation, Process, Instruments and Systems
Analytics
Ana
lytic
s
Analytics
14
Process start
n Data from relevantpreceding systems anddata to be recordedmanually
n Data on businesstransactions(qualitativeinformation)
Input
Event (e.g. monthlyaccounts) or ad-hocinquiry
Process end
n Standard reportsn Ad-hoc-reports, each
with „figures section“and „comment/analysissection“
n Dashboards
Output
Reports have beendiscussed withmanagement,countermeasures havebeen approved
Setting up the process
Managing reporting systems/data processes
Conducting data analysis and drawing up reports (figures section)
Drawing up reports (variance analysis, message and comments)
Conducting evaluation by management and initiating measures
Sub-processes
Management Reporting
Level 2Level 3
Level 1
Level 4
Controlling
Main Process„Management Reporting“
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
15
Main Process„Management Reporting“
Manging reporting systems/dataprocesses
Management Reporting
Controlling
Setting up the process
Activities
n Establishing strategic orientation and control conceptn Deriving ratios and dimensions of analysisn Establishing reporting design, report recipients and
report folder structuresn Defining reporting process (responsibilities, data
flows, report dates)n Building up data modeln Defining report systems (IT-System) and its
functionalitiesn Continuously examining need for change
Activities
n Managing IT architecture for reporting systemsn Supporting systems, tools for reportingn Securing structured data process
(data collection, maintenance, processing, access,analysis, distribution)
n Maintaining data structuresn Maintaining interfaces to preceding systemsn Providing support for users in handling the systemn Implementing new structures in reportingn Removing errors in reports/reportingn Preparing new reports
Management Reporting
Controlling
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
16
Main Process “Data Management”
Process start
Input
Further Development ofbusiness and / orcontrolling, identifiedneeds for action fromquality control or regularprocess start date forcontinuous improvement
Process end
Output
Updated business datamodel, data base adaptedto control requirements
Setting up the process
Building and maintaining data model content
Organising data flows and data storage
Determining necessary roles and positioning controller organisation
Establishing governance processes and improving continuously
Sub-processes
Securing material quality of the data
Data Management
Level 2Level 3
Level 1
Level 4
Controlling
n Requirements ofmanagement regardingprovision of information
n IT map and data flowsn Technical data modeln Data sources and
contentn Legal conditions
n Business data modeln Authorised data base
(single source of truth)n Documented data flowsn Established mechanisms
and measures forimproving and securingdata quality
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
17
Identification of processes for transfer to shared service centers
Knowledgeprocesses with little
interdependence
Specific knowledgeprocesses
Standardprocesses with
greatinterdependence
Transactionalprocesses
Standardisation highlow
Isol
abili
tyhi
ghlo
w
§ Volume/frequency§ Need for manual
intervention§ Knowledge required§ …
§ Interaction with corefunctions
§ Interaction with non-core functions
§ Intensity of contact withinternal clients
§ …
Evaluation criteriastandardisation
Evaluation criteriaIsolability
§ Cost accounting§ Variance analyses§ Costing application§ Reporting§ Analytics§ Sales prognoses§ …
Processes/activities incontrolling
Identification of processesor activities
Evaluation of activitiesaccording to the criteria
Allocation of activities tothe four categories
1 2 3
(A) (B)
(C) (D)
IGC (ed.), Controlling Prozessmodell 2.0, Freiburg 2017
18
Outlook: Applications and Use of Process Models3
From IGC Controlling Process Model 1.0 to 2.02
Introduction: The need for process models1
Agenda
19
Application of the process model
Gleich, R., Schulze, M., Thiele, P., Adoption of Controlling Standards in Business Practice – Results of an International Study, in: Controlling, 30. ed. (2018), No. 1, pp. 38-41
20
Applications and Use of Process Models
Why to model?
– deepen understanding
– increase comparability
– steer processes
– simplified communication
– measure performance
– benchmarking
– identify weaknesses
– starting point for process optimizations
– starting point for IT implementations
– task/process responsibility and role description
– …
21
Prof. Dr. Klaus MöllerDirector Institute for Accounting, Controlling and AuditingChair of Controlling / Performance ManagementUniversity of St. GallenTigerbergstrasse 9CH-9000 St. GallenPhone +41 71 224 7406Fax +41 71 224 7020E-Mail [email protected] www.aca.unisg.ch
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