Thank
you
for
the
introduction.
My
name
is
Mia
Stephens,
and
I
am
a
JMP
product
manager.
And
I'm
also
the
lead
developer
of
STIPS,
which
is
our
free
online
course
that
we'll
talk
about
in
a
few
moments.
And
my
name
is
Peter
Hersh.
I'm
part
of
the
JMP
Global
Technical
Enablement
team,
and
I
did
a
lot
of
work
finishing
up
and
developing
the
Data Analysis Director,
which
we're
going
to
be
covering
today.
I'm
going
to
get
us
started.
We'll
start
by
talking
about
STIPS
âStatistical
Thinking
for
Industrial
Problem
Solving
âand
how
the
development
of
STIPS
was
really
the
beginning
of
the
Data Analysis Director
or
DAD.
If
you're
familiar
with
STIPS,
this
is
our
free
online
course.
If
you
were
at
the
Discovery
in
Frankfurt
a
few
years
ago,
you
heard
us
talk
about
this
for
the
first
time.
STIPS
is
30
-35
hours
of
online
training
for
anyone
who
wants
to
learn
how
to
build
a
foundation
in
statistical
thinking.
It
covers
the
basics,
from
learning
how
to
define
a
problem;
exploratory
tools,
and
how
to
communicate
the
message
in
your
data,
how
to
prepare
your
data
for
analysis;
quality
methods,
SPC
capability,
measurement
systems
analysis;
basic
inferential
statistics
like
hypothesis
testing
and
sample
size;
correlation
and
regression; fundamentals
in
design
of
experiments;
predictive
modeling,
and
text
mining.
This
is
just
an
introduction
of
these
topics.
All
in
all,
it's
about
30
-35
hours.
As
we
set
out
to
develop
this
course,
we
wanted
to
make
sure
that
we
included
the
right
topics
and
topics
that
are
most
commonly
used
in
the
industry.
And
we
also
wanted
to
make
sure
that
we
understood
the
challenges
that
users
face
in
industry.
Before
we
started
developing
any
content,
we
did
a
survey.
One
of
the
questions
we
asked
was,
what
are
the
most
common
analysis
tasks
and
methods
that
you
use
in
industry?
SPC
was
at
the
top
of
the
list
with
some
of
the
other
quality
methods,
DOE
and
hypothesis
testing.
This
part
of
the
survey
allowed
us
to
identify
the
general
groupings
of
topics
that
we
would
include
in
STIPS.
And
relevant
to
this
talk,
the
second
question,
what
are
the
biggest
challenges
you
face
when
you're
using
data
to
make
decisions?
We
weren't
very
surprised
to
see
data
preparation
at
the
top
of
this
list,
but
something
that
was
a
little
bit
surprising
was
understanding
which
method
to
use
and
how
to
use
it.
As
we're
developing
STIPS,
there
are
a
lot
of
topics
included
in
STIPS,
and
if
you're
learning
statistics
for
the
very
first
time,
we
knew
that
this
could
be
a
little
bit
overwhelming.
We
developed
this
concept
of
a
tool
that
would
help
you
understand,
"Well,
which
method
do
I
want
to
use
based
on
what
it
is
that
I
want
to
know,
what
it
is
I
want
to
do
with
data,
and
what
type
of
data
that
I
have?"
A
t
the
time,
we
call
this
the
Data
Analysis
Assistant.
It
was
basically
an
unfolding
utility
where
it
started
with
just
a
general
statement.
In
general,
what
is
it
that
you
want
to
do?
And
then
based
on
how
you
answer
this
question,
it
allowed
you
to
drill
down.
If
I
chose,
"I
want
to
describe
a
group
or
groups,"
and
then
the
next
question
I
answered,
"I
want
to
explore
relationships
between
two
variables
and
my
data
is
continuous,"
then
it
gave
a
recommendation.
A
statistical
technique
that
might
make
sense
is
scatter
plots.
You
can
find
this
in
the
Graph
Builder
or
in
Fit
Y
-by
-X.
And
we
provided
a
link
to
some
data
sets
that
were
used
in
STIPS.
Our
original
plan
was
that
we
would
have
this
really
as
part
of
STIPS
to
accompany
STIPS
so
that
people
could
refer
back
to
it
after
the
fact.
But
STIPS
took
several
thousand
man-hours
to
develop
and
time
got
away
from
us.
Fortunately,
Peter
was
on
the
STIPS
development
team
and
he
saw
the
value
of
a
utility
like
this.
I'm
going
to
turn
it
over
to
Pete
and
Pete's
going
to
talk
about
how
this
original
concept,
this
data
analysis
assistant,
ultimately
became
DAD.
Thanks,
Mia.
Let
me
share
my
screen
here.
There
we
go.
The
motivation
from
this
actually
really
came
from
a
couple
of
customers
reaching
out
and
asking
exactly
what
Mia
found
in
that
survey.
When
they
had
new
users
coming
to
them,
they
weren't
quite
sure
where
to
go
into
JMP
to
do
the
analysis
they
were
after,
so
they
didn't
know
what
technique
to
use
when.
Several
of
our
customers
were
communicating
through
their
training
organizations
that,
"Hey,
it'd
be
great
if
there
was
some
way
to
direct
people
to
the
analysis
they
wanted."
I
reached
out
to
Mia,
and
she
had
already
laid
the
groundwork
with
that
data
analysis
assistant
and
developed
all
of
the
tasks
that
most
people
were
needing
to
navigate
to,
and
all
I
did
was
take
that
and
finish
it
off.
Let's
get
in
and
actually
look
at
what
this
Data Analysis Director
looks
like.
When
you
launch
it,
it's
going
to
look
like
this,
and
this
is
just
an
application
that
is
inside
of
JMP,
and
we
have
it
deployed
as
an
add-in.
And
we'll
share
the
link
on
where
you
can
get
that
add-in.
But
you'll
notice
here
that
as
I
pick
a
task
from
this
side,
it
will
give
me
several
different
options
for
goals
for
that
specified
task.
And
then
when
I
pick
a
goal,
it
will
let
me
know
if
there's
different
types
of
data
that
might
have
that
same
goal.
Once
I
do
that,
then
all
of
these
buttons
down
here
become
active
and
I
can
do
different
things.
So
to
give
you
an
idea
here,
let's
say
I
wanted
to
compare
groups.
I
have
two
or
more
independent
populations,
and
then
there's
only
one
type
of
data
that
I'm
looking
for.
If
I
then
launch
an
example,
you'll
see
JMP
will
automatically
launch
this
sample
data
set
and
run
that
example.
T
his
is
a
great
start
and
this
is
where
we
started
with
JMP
16
was
the
ability
to
do
that.
We
can
also
take
you
right
to
the
help
menu
for
that
specific
test,
the
launch
analysis,
which
will
allow
you
to
just
bring
up
that
analysis,
and
then
also
a
demo
video.
This
demo
video
just
links
to
our
learning
library,
which
is
this
great
resource
that
is
basically
answering
a
question
of
how
do
I
do
X
task
in
JMP?
In
this
case,
the
Data Analysis Director
just
allowed
me
to
figure
out
that
what
I
wanted
to
do
was
a
two
-sample
T
-test, and
here's
a
quick
2-
5
minute
video
on
how
to
do
that.
The
new
thing
with
JMP
17
that
we
added
was
this
workflow.
This
is
really
nice
for
people
who
maybe
don't
have
a
ton
of
statistical
background
and
maybe
don't
know
what
they're
looking
for
inside
a
JMP.
When
I
open
the
workflow...
This
is
a
new
feature
in 17.
So
if
you're
operating
in
JMP
16
or
older,
you
won't
have
workflows.
But
with
JMP
17,
this
is
a
nice
new
feature.
When
I
hit
play,
what
JMP
does
is
it
opens
that
data
set,
just
like
the
example
I
had
launched
before,
but
now
it
has
some
extra
capability
in
there.
It's
highlighting
some
of
the
reports
where
I
should
look.
It's
telling
me
about
that
report.
It's
also
stepping
through
and
telling
me
what
each
one
of
these
reports
means.
Then
at
the
end,
I've
done
that.
That's
great.
You
could
probably
get
there
with
scripting
as
well
to
be
able
to
recreate
this,
but
workflow
makes
this
a
lot
easier.
And
then
it
also
allows
for
a
generalizable
aspect
to
this.
This
is
key,
especially
with
this
Data Analysis Director.
We
encourage
folks
to
go
ahead
download
this
add-in,
but
you
can
make
it
your
own.
And
how
you
might
make
it
your
own
is
by
taking
a
look
at
the
things
that
come
with
it.
First
off,
with
workflows,
if
I
do
not
prompt
JMP
to
open
a
data
set,
so
I'm
going
to
just
remove
this
data
set,
and
I
hit
play...
I
forgot
to
close
that
behind
the
scenes.
Excuse
me
one
second.
I
f
this
data
set
isn't
open
and
I
am
looking
for
a
specific
analysis,
so
here
I'll
just
open
a
different
data
set.
If
I
hit
play
here,
JMP
is
going
to
tell
me,
"Hey,
I
don't
have
that
data
set
you
are
looking
for,
but
unlike
a
script,
I'm
not
going
to
crash.
I'm
just
going
to
go
ahead
and
prompt
you
to
pick
a
data
set."
I'll
hit
okay,
and
then
it
says,
"Hey,
pick
a
continuous
variable
in
that
data
set."
Again,
unlike
a
script,
if
it
doesn't
find
that
column
that
you're
prompting
it
to
find,
it
just
won't
run.
For
this
workflow,
it's
saying,
"Oh,
okay,
pick
a
continuous
Y.
All right, now
pick
a
column
to
replace
gender."
And
now
it's
running
through
that
same
analysis,
it's
giving
me
that
same
report.
T
his
makes
this
very
generalizable. T
hat's
the
nice
thing
here
with
that
workflow.
If
you
want
to
make
this
your
own,
with
the
add-in,
you
get
this
nice
easy
table
that
has
is
all
of
the
scripts
behind
the
scenes
that
you
can
edit.
You
can
use
your
own
sample
data
set
that
is
maybe
more
relevant
to
your
company.
You
can
use
different
workflows.
We
have
our
demo
videos,
but
maybe
you
have
demo
videos
that
you'd
like
to
use
instead.
This
is
very
easy
to
tweak.
This
will
be
installed
right
with
the
add-in.
Without
having
to
go
in
and
script
things,
the
add
-in
is
just
looking
for
a
certain
row
in
this
data
set,
so
very
easy
to
change
that.
One
thing
you
might
be
asking,
and
maybe
you've
heard
of
this,
is
with
JMP
17,
we
also
got
a
new
feature
called
Search JMP.
You
might
be
asking,
"Well,
when
would
I
use
DAD
instead
of
Search JMP?
What
is
the
difference?"
We
did
a
nice
job
here
of
laying
out
the
main
differences.
Search JMP
is
built
right
into
JMP,
and
I'll
show
you
what
this
looks
like
here
in
a
minute,
whereas
the
Data Analysis Director
or
DAD
is
installed
as
an
add-in,
so
you
won't
have
Dad
by
default,
you'll
have
to
go
and
install
it.
And
the
Data Analysis Director
is
really
directed
for
new
users,
maybe
people
who
aren't
as
familiar
with
JMP
or
aren't
as
familiar
with
statistics
in
general,
where
Search JMP
can
be
used
by
anybody.
You
just
need
to
know
what
you're
looking
for.
So
maybe
if
you
don't
know
the
technique,
the
Data Analysis Director
is
a
better
place
to
go.
But
if
you
happen
to
know
the
name
of
the
analysis
you
want
to
do,
Search JMP
is
an
easier
way
to
find
that.
You
also
get
those
example
videos,
example
methods,
and
those
workflows
inside
of
JMP.
For
Search JMP,
this
is
not
example
-based.
This
will
launch
the
analysis
for
you,
but
it
will
not
walk
you
through
an
example.
It
is
also
more
comprehensive,
the
Search JMP.
Data Analysis Director,
we
picked
some
of
the
things
JMP
can
do
and
highlighted
that.
Search JMP
will
look
through
everything
inside
of
JMP,
including
the
help,
the
sample
data,
the
scripting
index,
all
of
that.
If
I
am
inside
of
JMP
here,
any
window
open
under
Help,
it's
the
second
thing
on
the
Help
menu,
and
it's
Search JMP.
For
folks
who
haven't
seen
this
before,
if
I
start
typing
in
something
like
T-test,
Search JMP
will
automatically
open
this
up,
and
I
can
go
to
Topic
Help,
I
can
go
to
Go,
I
can
launch
this.
You
can
see
it's
a
lot
like
that
launch
analysis
inside
of
the
Data Analysis Director.
Again,
the
difference
is
I
just
need
to
know
the
name
of
the
technique
I'm
looking
for.
That's
the
difference
between
these
two
tools
and
when
I
might
use
DAD
versus
Search JMP.
To
summarize
what
we've
talked
about
here,
really,
the
whole
point
and
motivation
of
the
Data Analysis Director
is
to
help
new
users
determine
which
tool
to
use
when.
This
all
dates
back
to
that
survey
Mia
was
using
to
figure
out
what
people
need
the
most
help
with,
and
that
was
a
surprise
result
of
that
survey
that
came
out
of
the
S
TIPS
development.
And
then
we
want
to
help
new
users
navigate
JMP,
so
get
over
that
initial
hurdle
of
coming
from
either
a
different
statistical
tool
or
just
not
being
as
familiar
with
statistics.
And
really,
I
think
Mia
put
this
great
when
she
said
we
really
want
to
just
help
democratize
statistics,
help
scientists
and
engineers
who
maybe
haven't
taken
many
stats
classes
be
able
to
find
what
analysis
they
need
more
easily.
And
we
do
this
with
examples,
applications
of
different
methods.
And
like
I
showed,
you
can
customize
DAD
to
make
it
your
own.
So
put
in
your
own
examples.
If
there's
something
very
relevant
to
you
and
your
company,
put
it
in
there.
You
can
tweak
the
workflows,
you
can
adjust
the
examples,
the
example
data
sets,
all
of
that's
really
straightforward.
And
when
we
compare
that
to
Search JMP,
Search JMP
is
a
great
tool
to
find
what
you're
looking
for
when
you
know
the
name
of
the
test
you're
looking
for.
We
will
post
this
in
the
JMP
user
community.
This
is
a
free
add-in.
Here's
the
link
to
that
add-in.
You
can
also
just
search
Data Analysis Director
JMP
in
Google,
and
it'll
be
your
top
result.
A
lso
for
anyone
who
hasn't
taken
STIPS,
we
strongly
encourage
you
to
do
it.
It's
a
free
online
course,
really
gets
to
the
core
of
how
to
use
statistics
in
general,
not
just
in
JMP.
It
will
walk
through
the
examples
in
JMP,
but
it's
a
great
course
for
folks
who
are
familiar
with
JMP
or
not.
A
couple
of
people
we'd
like
to
thank.
Julian
Parris
helped
a
lot
on
the
front
end
with
this.
And
then
Don
McCormack
was
really
instrumental
in
us
finishing
off
the
add-in.
He
developed
a
lot
of
that
application
and
interface
you
see
there.
We
also
had
many
other
people
who
have
tested
and
provided
feedback.
And
of
course,
Evan
for
the
lead
developer
of
Search JMP,
and
he's
right
here
at
the
conference.
So
if
you
have
questions,
please
stop
by
the
developer
booth
and
talk
to
him.
Thank
you
for
your
time.
Hopefully,
you
found
this
useful
and
you
will
go
and
check
out
our
Data Analysis Director
inside
the
community
and
provide
any
feedback
for
any
future
development
we
might
want
to
do
on
this.
Thank
you.
And
Mia,
any
last
thoughts?
No.
Great
job.
Thank
you.
Thanks.
