3. • PSM can change the rules of
the game : we must revisit
Big Data practices and be
examples for the outer world
• Make Big Data a game
changer for our internal
organization too
THE VISION
4. • Growing trend of firms
changing their global
performance indicators CLV
(Customer Lifetime Value)
• Backward-looking KPI’s vs.
forward-looking KPI’s
• Behaviors of the past don’t
necessarily predict future
behaviors
REDEFINE VALUE
5. REDEFINE VALUE
THE DANGER OF BACKWARD-LOOKING KPI’S
TodayPast Future
What kind of
value do we
create when we
serve more of
the same ?
6. • CLV is being considerably re-
discovered and used by for-
profit companies but …
• … what is value for a PSM
« customer » ?
• 2 hints :
– content creation (WHAT?)
– Distribution (WHERE?)
REDEFINE VALUE
FORWARD-LOOKING KPI’S
7. • Everyone talking about filter
bubbles (Pariser 2011) but
– What is it really?
– Does it exist?
– Does it create or destroy value?
• It’s not new ! Gup (1997)
lamented about bad effect of
technology on serendipity
THE FAMOUS FILTER BUBBLE
8. 1. Where do we find data to
measure CLV? How do we
process it?
2. Does the filter bubble really
exist or is it a myth?
3. Are there ethical issues
associated with
recommendation?
SOME ESSENTIAL QUESTIONS
(1/2)
9. 4. How to balance
personnalisation /
serendipity (exploitation vs.
exploration)
5. How do we measure the
success of public service
algorithms?
6. Is it worth educating people
on the role of Big Data?
SOME ESSENTIAL QUESTIONS
(2/2)
11. THANK YOU
RTBF Team : Cindy Culot,
Ariadne Krings, Dominique
Wathelet
+ many others (catering,
security, technicals teams, …)
EBU : Eleonora Mazzoli,
Clotilde Pupillo
12. • Put your phone on « mute »
• Breaks every 90 minutes
• Assistance ? Cindy, Ariadne
and I are happy to help
• Someone not attending
dinner or with intolerances :
please tell me before lunch
• Please tweet ! #EBUBigData
ONE LAST WORD