2. Context
• A newly appointed Controller…
• How to get to grips with…
– (new) team
– understanding the business
– reporting, data and systems
• Framework :
people
processes
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systems
page 2
5. First 90 days in a new job (*)
Mentally
switch to your
new role
Secure early
wins
Build your
team
Create
coalitions
Accelerate
your learning
Negotiate
success
Expedite
everyone
Match
strategy to
situation
Achieve
alignment
Keep your
balance
(*) “The first 90 days”, Michael D. Watkins, Harvard Business Review Press, 2013
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page 5
6. organisation lifecycle – STaRS model
Recove
ry cycle
Succeed
Fail
Realignment
Sustaining
success
•
•
•
Fail
Turnaround
Fail
Crisis
cycle
Shutdown /
divestiture
Succeed
Growth cycle
Fail
Start-up
Succeed
Lifecycle of companies or business units or teams
Every stage has predictable psychology
Identifying situation enables selecting an effective change strategy
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page 6
8. Understanding the business
• Understand the market
– suppliers / customers / products / competitors / substitutes
• Understand the strategy
– strategy map / what are the real drivers?
• From strategy to implementation
– business processes – where is the value added?
– correct KPI’s? KPI’s translated to operational reporting?
– monitoring processes? improvement? changing behaviour?
9. Understand “the numbers”
•
Analyse profitability
– P&L / Cash flow / Balance Sheet
– Working capital / ‘real’ profitability per customer or product
•
Business applications and data
–
–
–
–
–
which business application creates which data?
how are they interlinked? (interfaces)
data design & data quality?
how does it flow to reporting? (filters, manipulations, …)
what needs to be developed / automated?
•
Case: “difficult to load customer invoices”
•
Case: “DIO – days of inventory on hand”
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BIMAC - Get in Control
“what is a customer”?
“when in inventory”?
page 9
11. Basics of reporting
• Good reporting clean analytical dimensions
– cost center, cost element, project, ...
• Dimension
Attributes
– one attribute = one characteristic
– e.g. address, type, class, group, net weight, …
• “Clean” hierarchies
– built with one and only one attribute
12. “Dirty” hierarchies mix attributes
ID
First name
City
Hair colour
Loyalty
Sales
001
Peter
Brussels
brown
silver
100
002
Anne
Brussels
black
gold
150
003
Marie
Paris
blonde
gold
170
004
Dana
Zagreb
black
bronze
65
characteristic1 = "city"
Total
Brussels
brown
black
Paris
blonde
Zagreb
black
characteristic 2 = "hair colour"
001
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003
BIMAC - Get in Control
004
page 12
13. “Clean” hierarchies on one attribute
ID
First name
City
Hair colour
Loyalty
Sales
2010
001
Peter
Brussels
brown
silver
100
002
Anne
Brussels
black
gold
150
003
Marie
Paris
blonde
gold
170
004
Dana
Zagreb
black
bronze
65
characteristic 1 = "city"
characteristic 2 = "hair colour"
485
Total
250
Brussels
100
001
Peter
150
002
Anne
14 November 2013
485
Total
170
Paris
65
Zagreb
170
003
65
004
Marie
Dana
BIMAC - Get in Control
215
Black
150
003
Anne
100
Brown
65
002
170
Blonde
100
003
Dana
page 13
170
004
Peter
Marie
14. (Master) data quality investigation
• Investigate the quality of your data
• Get involvement from management and end-users
• Solve problems at the source
– transactional systems
– operational business process
• Improve data processes and controls
– creating / updating / archiving
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page 14
16. Conclusions
• Getting in control: multiple facets
– people
– business processes
– ‘the numbers”
• Staying in control
– monitor for early warning signals of change
– keep challenging and improving
– take care of yourself
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page 16