2. INTRODUCTION
@BNieme
• Founder Adversitement, O2MC I/O,
Digital Power
• 10 years in financial sector -
transparency
• Digitally active since 2000
• Privacy by Design Ambassador
• Board of Advisory TU/e M&I
215-06-15
3. 15-06-15 3
AGENDA
• Value
• Our Challenges
• Data Management
• Data Process
Management
• Customers & Data
• FAQ
5. BRAND
VALUE
• What would they miss if
your brand was not
around anymore?
• Why would they invest in
a relationship with you?
15-06-15 5
“Consumers state that 70%
of the brands they buy
are fully exchangeable.”
6. Long-term strategic value
Improved reputation and customer
experience and agile competitive
advantage
Short-term operational value
New business opportunities, more
efficient marketing processes, smarter
decision making, time and cost reduction
and guaranteed data control
BUSINESS
VALUE
15-06-15 6
17. 15-06-15 17
ONLY 15%
of global companies
is able to exploit big
data in 2015.
Adapt new
technologies
to utilise:
Volume, Velocity,
Variety, Veracity
18. TODAY’S BIG DATA
CHALLENGES & COMPLEXITY
Business Applications
Inefficient siloed data for Marketing and Sales applications
.
Data Life Cycle Management
Inefficient and very costly data management process
15-06-15 18
19. Q 1915-06-15
How is the data
process within your
company defined?
Who’s responsible?
20. DATA PROCESS
15-06-15 20
BIG DATA
DATA
OPERATIONS
(processing)
RELEVANT
VALUE
REAL-TIME /// SIMPLE – SECURE - SUSTAINABLE
KNOWLEDGE + TECHNOLOGY + PEOPLE
All data
All sources
Data efficiency
Data quality
Data governance
One truth
31. 15-06-15 31
DATA DRIVEN
Company – Agile, Process, Innovation
ActionDecisionInsightDataKPIBusiness goal
Data Process ManagementManager Analyst Manager
32. Q 3215-06-15
What kind of
technology is
valuable for your
business?
Are they supported
by the right
knowledge?
34. DATA QUALITY
15-06-15 34
• Poor data quality is a primary reason for 40% of all business
initiatives failing to achieve their targeted benefits.
• Data quality effects overall labour productivity by as much as
20%.
• As more business processes become automated, data quality
becomes the rate limiting factor for overall process quality.
35. Q 3515-06-15
How does data
quality affect
your decision
making?
How do you
control your
data quality?
37. 15-06-15 37
DATA
QUALITY
REQUIRES
• Knowhow to be
shared
• Best of breed
technology and
practices
• High expertise to
be standardised
• Prevention of new
compliance risks
• Innovations to be
top priority
43. Q 4315-06-15
Is your data
process fit to
facilitate this right
to your customers ?
Will it make a
difference if you
do?
Can you adapt to
new circumstances
and regulations?
46. OUR SUGGESTION
15-06-15 46
“AGILE DATA PROCESS MANAGEMENT WILL
LEAD TO LONG-TERM VALUE AND
SHORT-TERM PROFITABLE ACTIONS.”
BOB NIEME, ADVERSITEMENT