1) The document discusses building master data factories to capture value from advanced planning and scheduling (APS) implementations. It introduces the concept of a data factory and provides 7 guiding principles for setting one up. 2) The principles include having an end-to-end focus in master data management, finding a "golden record" of core business data, investing in analytical skills, building a data organization, embedding data quality, enabling optimal solutions, and challenging periodic data reviews. 3) Three key takeaways are to seize the opportunity to make a business case for a data factory as part of the APS implementation, create a dedicated data workstream, and view the data factory as an investment area to enable other business benefits

1. #bluecruxtalks
Buiding Master Data Factories, together
WELCOME, WE’RE KICKING OFF
IN A MINUTE…

3. Nice to meet you!
Diana Barrera
Supply Chain & Operations
professional
Scott Barnard
Managing Director
bluecrux US

4. Digital planning:
How to capture value from APS
implementations – a number of our
learnings.
Part 1 – Building master data factories

5. Today we talk about…
1
2
3
Introduction to the Data Factory
7 guiding principles to setup your Data Factory
3 takeaways

6. 1 Introduction to the
Data Factory

7. A DIGITAL WAVE IS GOING ON

8. A DIGITAL WAVE IS GOING ON…
Thinking POC Decision Time Implementation CI phase
#OnAJourney
APS
Lots of companies are on the way to fundamentally revise their landscape –
implementing APS solutions replacing APO, moving to S/4, …
AI capability S/4

9. Improve Customer
Experience
Cash
Conversion
Cycle
Efficiency
Effectiveness
BUSINESS BENEFITS

10. DIDN’T WE DO THE SAME 20 YEARS AGO?

11. CASE FOR CHANGE
Let’s create the
foundation!
ECC
Implementations
Let’s plan our
supply chain!
APO
Implementations
The valley of disillusion
Xls Wave
APO retirement
The APS Wave
Let’s simplify
The S/4 Wave
Let’s increase value
The AI Wave
1980-2005
1995-2010
2000-2015
>2010
>2018
>2017
Let’s increase efficiency
The RPA Wave
>2018

12. LET’S LEARN FROM THE PAST

13. CASE FOR CHANGE
Let’s create the
foundation!
ECC
Implementations
Let’s plan our
supply chain!
APO
Implementations
The valley of disillusion
Xls Wave
APO retirement
The APS Wave
Let’s simplify
The S/4 Wave
Let’s increase value
The AI Wave
1980-2005
1995-2010
2000-2015
>2010
>2018
>2018
Let’s avoid the valley of
disillusion and learn
from the past:
1. Process drives: Technical 
business steered
2. Integrate your people all
along your journey
3. Make your data explicitly
part of it: Build your master
data factory

14. DO YOU RECOGNIZE
My plan
doesn’t
match reality
The system
is not
working
Your data is
not correct
or complete
The data
should just
be there
We don’t
know anymore
which data is
doing what Master data is
not exciting
(a bit boring…)
#Let’sNotGoThereAgain

15. CREATE YOUR MASTER DATA FACTORY
Triggers
Data
On Time,
In full
Business Drivers Business Goals
Data Strategy
Data Governance
Toolset
Metrics
Security
Compliance
Data Quality BI / Analytics Architecture
Enablers
Maturity Assessment
Project & Process Management
MountK Change Management
Business Data Stewards
IT Data Management
Stakeholders

16. 2 7 guiding principles to
setup your data factory

17. MASTER DATA
FACTORIES
A cornerstone for all digital
transformations, in planning &
beyond
Shaping your organisation, capabilities
and mindset to capatilise on digital
opportunities
Shaping the level of informed decision making
to match your speed of information and
leverage the vast amount of information
becoming available through digital capabilities
Understanding the decisions you are
driving and finding the right solution fit
within your (planning) technology
approach
DIGITAL-READY PEOPLE
& ORGANISATIONS
NEXT GENERATION OF
PLANNING ‘PROCESSES’
TECHNOLOGY STACK
STRATEGY
4 KEY
BUSINESS
ENALBERS
CAPTURE VALUE FROM YOUR APS IMPLEMENTATION

18. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES
E2E focus in
MDM
Find that golden
record

19. TRUE GLOBAL SUPPLY CHAIN &
&

20. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES
Invest in analytical
skills
Build a data
organization
E2E focus in
MDM
Find that golden
record

21. THE DATA ORGANIZATION &
DECENTRALIZED
Master data activities happen
within the business functions
Close to business reality.
Not core focus of the role.
FUNCTIONAL
Introduction of dedicated master
data steward roles to support/
facilitate data maintenance
activities
Data steward role focus on
tech. data activities
Functional approach
HYBRID
Introduction of SC data
configuration role to build
analytical capabilities in E2E plan
constraints.
Further build analytical
skills to increase data Q.
More complex governance
models.
CENTRALIZED
Data configuration happens in a
cross-functional set-up, taking into
account E2E constraints.
Leverage analytical
capabilities cross-functional.
Data configuration becomes
a pivotal role – aligning with
many stakeholders
SC
Fctn 1 Fctn 2
Make
Fctn 1
..
..
SC
Fctn 1 Fctn 2
Make
Fctn 1
..
..
Data
Stew.
Data
Stew.
Data
Stew.
Data
Stew.
SC
Fctn 1 Fctn 2
..
..
Data config.
Data Stew.
Make
Fctn 1
SC
Fctn 1 Fctn 2
..
..
Data config.
Data Stew.
Make
Fctn 1
&

22. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES
Embed quality
Challenge the
periodic reviews
Invest in analytical
skills
Build a data
organization
E2E focus in
MDM
Find that golden
record

23. DEFINE DATA QUALITY? &
QUALITY
DATA
Generating quality data as
of day 1
Maintaining quality
continuously
Analytical
checks
(review &
refine)
Changing
environment
(imbed quality
in the process)
Workflow
management
(Define what)
Business rules
(Define how)

24. DATA FACTORY – A SET OF 7 GUIDING PRINCIPLES
Enable optimal
solutions
Embed quality
Challenge the
periodic reviews
Invest in analytical
skills
Build a data
organization
E2E focus in
MDM
Find that golden
record

25. ALIGN DATA CAPABILITIES & TOOLS TO YOUR IT LANDSCAPE
Importance of data strategy &
governance capabilities.
Use
of
optimal
solutions
Integrated
model
Core-satellite
model
Honeycomb
model
Layered stack
model

26. 3 3 takeaways

27. APS IMPLEMENTATION TAKE-AWAYS
SEIZE THE
OPPORTUNITY
Make a comprehensive business case,
include the different elements of a data
factory in your journey.
Create a data workstream on equal
footing with your business transformation
workstreams.
Your data factory is an area of investment to
enable other business benefits.

28. Diana Barrera
Supply Chain & Operations
professional
Scott Barnard
Managing Director
bluecrux US
Thank you!
Are you
following us
already…?
Questions? Let’s connect!

29. Interested in more? Stay tuned for our
other #bluecruxtalks sessions