Helping A Gym to use Data Collected about its clients & staff to
Improve Performance & Grow its Business
If you have any questions feel free to contact us via twitter @askSignia or email us info@signia.ca
12. Engage Your Best Customers
grow sales by making better decisions for your business
Know your best customers
Identify which products or services are vital
check-in
Recognize new opportunities and trends
Grow sales by rewarding your customers
reward scan
best customer
analytics
14. THE
CHALLENGE
Imagina*on
&
Crea*vity
in
Data
Science
• Use
our
data
(~2
yrs
of
data
from
fitness
gym)
• Take
it
to
the
next
level
• Do
not
repeat
what
we
have
already
done
15. EXAMPLE
OF
TYPES
OF
ANALYSIS
• Segmenta*on
of
Customers
– Determine
if
there
are
segments
(or
groups)
of
customers
who
behave
similarly
or
different.
– What
criteria
can
determine
if
a
customer
belongs
to
a
certain
segment.
For
example,
is
a
par*cular
customer
a
fan/evangelist
or
just
a
regular
customer.
• Time-‐series
analysis:
Analyze
paWerns
in
the
data
on
a
weekly
v.s.
monthly
basis
• Average
Life-‐cycle
of
client
• Life-‐*me
Value
of
a
Customer
(may
need
to
make
some
assump*ons
on
the
value
of
different
services)
• Predic*ve
Analysis:
Hypothesis
tes*ng
(or
other
methods)
to
determine
how
a
customer
might
behave
based
on
the
first
few
data
points.
16. JUDGING
CRITERIA
• Clear
descrip*on
of
business
ques*on
you’re
trying
to
answer
for
business
owner/manager
• Descrip*on
of
solu*on
and
sta*s*cal
methods
used
to
analyze
the
ques*on
• How
well
do
you
account
for
variances
in
the
data
• Clearly
document
and
explain
any
assump*ons.
• Presenta*on
• Imagina*on
&
Crea*vity
• BONUS:
What
new
data,
if
made
available,
could
help
to
answer
addi*onal
business
ques*ons.