-Well,
thanks
everybody
for
coming.
Today,
we're
going
to
talk
about
JMP
Live
17
and
how
it
allows
you
to
collaborate
better
with
JMP.
My
name
is
Eric
Hill,
I
am
a
developer
on
the
JMP
Live
team,
and
my
co-
presenter
Chris
Humphrey,
is
also
a
developer
on
the
JMP
Live
team.
Thought
I'd
start
by
reminding
everyone
what
JMP
Live
is,
and
then
we
can
talk
a
little
bit
more
about
what's
new
and
JMP
Live
17.
We
introduced
JMP
Live
back
in
the
JMP
15
cycle
about
three
years
ago.
And
what
JMP
Live
is
a
web
application
that
you
access
through
your
browser.
It
is
private
to
your
company,
so
nobody
can
see
the
content
of
your
JMP L
ive
instance
other
than
you
and
your
company.
It
can
be
installed
on
premises
at
your
company,
or
you
have
the
option
of
having JMP
host
your
JMP
Live
instance
on
AWS,
either
way
it's
still
private
to
your
organization.
The
main
purpose,
at
least
when
we
started JMP
Live
was
to
allow
people
who
use
JMP
experts
who
create
analyses,
to
be
able
to
publish
them
to
a
place
where
people
who
don't
have
JMP
could
see
them
and
interact
with
them.
There's
a
lot
of
interest
that
people
have
in
sharing
their
JMP
discoveries
with
people
who
don't
have
JMP,
and you
can
already
do
that
with
screenshots
and
powerpoints
and
various
things.
But
those
things
lack
an
important
characteristic,
and
that
is
the
interactivity
that
JMP
is
known
for.
With
JMP
Live,
you
can
share
your
discoveries
in
a
way
that
allows
people
to
interact
with
them
in
many
of
the
same
ways
that
they
can
that
you
can
when
you're
in JMP
.
It
also
allows
people
who
do
not
have JMP
,
that's
the
main
thing.
The
main
thing
it
allows
people
to
do
is
people
who
don't
have
JMP
to
see
and
interact
with
your
content.
In
17,
we've
added
some
features
to
facilitate
collaboration
between
people
who
do
have
JMP,
so
even
if
you
and
your
colleague
both
have
JMP
there's
value
in
publishing
both
data
and
analyses
to
JMP
Live
so
that
you
can
collaborate
and
make
each
other's
analyses
better.
Another
thing
that
we
have
added
in
17
is
the
ability
to
publish
analyses
that
will
automatically
update
when
new
data
becomes
available.
And
that
was
a
big
customer
request
and
prospective
customer
request
that
we've
had
in
the
couple
years
that
JMP L
ive
has
been
out,
so
in
17,
we
are
delivering
that
feature.
Things
that
are
new
in
JMP
Live
17.
Well,
we
have
this
concept
of
spaces
that
you'll
see
a
lot
during
our
demo
today.
A
space
is
an
area
of
JMP
Live
that
you
can
restrict
to
a
certain
group
of
people.
A certain
group
of
people
may
have
the
right
to
publish
content
there
or
view
content
there,
or
edit
content,
improve
or
script
the
data,
updates,
those
things.
So
that's
what
a
space
is.
We
have
greatly
streamlined
the
publishing
process,
and
you'll
see
that
in
a
couple
places
in
our
demo
today.
We
now
support
unlimited
file
folder
hierarchies.
So
in
previous
versions
of
JMP Live
,
you
had
the
root
level,
and
you
could
create
one
level
of
folders
on
top
of
that,
but
beyond
that,
you
couldn't
continue
to
create
folders
at
lower
levels.
Well,
now
in
17,
you
have
a
complete
hierarchy
of
folders,
so
you
can
organize
your
content,
however,
makes
sense.
There's
also
a
new
feature
in
JMP L
ive
17
called
Open
in
JMP.
So
you
can
be
using JMP
Live
and
you
can
look
at
an
analysis
that
you
want
to
maybe
take
further
in
jump.
You
want
to
see
if
you
could
add
something
to
that
analysis
or
improve
it
in
some
way.
Well,
now
that
you
can
open
it
directly
into
JMP
and
if
you
have
JMP
on
your
machine
of
course,
and then
you
can
start
working
on
it,
improving
it,
experimenting
with
it,
to
see
if
you
can
add
to
it.
So
we'll
again,
seek
some
examples
of
that
in
our
demo.
And
then
the
one
I
alluded
to
in
the
last
slide
schedule
data
refresh,
the
ability
to
create
a
script
hat
knows
how
to
refresh
your
data,
and
then
to
run
that
on
a
schedule
every
5 m
inutes,
every
day,
every
week,
however
you
want
to
do
that.
Now,
the
premise
of
today's
demo
is
that
Chris
and
I
work
together
at
a
manufacturing
company,
that
manufactures
widgets.
And
we
are
responsible
for
some
of
the
products,
five
of
the
products
for
that
company,
five
of
the
widget
products,
and
each
of
those
products
has
a
certain
yield
that
gets
reported
every
day.
And
we
need
to
find
ways
to
present
that
are
helpful
to
both
us
and
our
colleagues
at
the
organization.
So
we're
going
to
collaborate,
work
together
to
come
up
with
some
analyses
that
we
think
are
beneficial
in
that
regard.
So
Chris,
have
you
gotten
started
at
all
with
the
analyses
of
the
yields
of
our
widgets?
-I
have,
I
will
share
my
screen,
sorry.
Eric
and
I
work
on
a
few
different
parts,
and
we
have
a
couple
data
tables
that
we
use
to
track
the
yields
for
those
different
parts.
The
first one
is
a
simple
data
table
with
all
five
parts
that
we're
responsible
for,
with
their
yield
values
over
time.
So
this
is
something
that
I
need
to
share
with
the
rest
of
the
group.
So
I'm
going
to
create
a
simple
report
that
shows
the
yield
over
time.
So
I'll
use
graph
builder
for
this.
I'll
drag
the
date
to
the
X
column,
one
part
to
the
Y
column,
and
now
I
have
a
report
that
shows
my
yield
values
over
time
for
this
one
part.
I
could
create
four
more,
one
for
each
of
the
remaining
parts,
but
I
think
it'll
be
a
lot
easier
to
use
if
I
add
a
column
switcher
to
this
report,
switch
out
the
part
that
I
added
earlier
with
the
five
parts
that
are
in
the
data
table,
and
now
I
can
see
every
part
in
one
report.
I
can
switch
between
it
and
see
the
yield
values
for
those
different
reports
or
those
different
parts
all
in
one
report.
So
I
think
that's
good.
The
second
data
table
that
we
use
is
a
fit
model
for
a
photo
process
that
we
run.
This
model
has
four
factors,
three
responses,
and
there's
a
script
already
in
the
data
table
to
run
a
fit
lease
squares
that
gives
me
a
profiler.
This
allows
me
to
see
the
interaction
between
the
different
values.
I
can
change
the
values
to
see
how
it
impacts
other
values,
and
pretty
useful
to
the
other
engineers.
So
I
think
this
is
a
report
that
I'd
also
like
to
share
with
the
group.
So
in
the
past,
I
would
either
have
to
share
my
data
table
with
a
script
that
others
could
run.
I
could
do
screenshots,
which
I
would
lose
all
the
interaction
ability
of
these
reports.
Or
maybe
I
could
do
a
pdf
also,
it's
not
interacted.
But
with
JMP Live,
I
can
publish
these
reports
to
JMP Live
directly,
so
others
can
use
them
just
like
I
have
here
in JMP.
So
I
go
to
publish,
file
publish,
publish reports
to
JMP Live.
And
JMP
is
now
setting
up
a
connection
to
my
JMP Live
server.
I
set
that
up
previously
in
my
managed
connections.
The
first screen
you
see
is
two
reports,
actually
a
list
of
the
reports
that
are
open
in
JMP.
These
are
the
two
reports
that
we
just
created.
I'll
select
both
of
those.
And
down
here,
I'll
also
make
sure
the
publish
new
is
selected.
This
is
a
new
publish
to
JMP Live.
I'll
select
next.
And
now,
as
Eric
mentioned
earlier,
I
need
to
pick
the
space
that
we
use
to
collaborate
as
a
group,
or
right
now
Eric
and
I
are
working
on
this
before
we
share
it
with
everyone.
So
I'm
going
to
use
the
Eric
and
Chris
space
that
he
and
I
have
access
to.
Within
the
space,
I'll
create
a
new
folder
called
yields
to
store
our
data
and
our
reports.
I make
sure
that's
selected.
And
I
click
next.
The
next
screen
shows
me
the
reports
that
are
going
to
be
published.
I
see
my
yield
report
and
my
fit
model.
And
so
I'll
give
him
a
new
title,
and
I'll
change
this
one
something
a
little
more
appropriate.
And now
I'm
ready
to
publish.
I'll
hit
the
publish
button.
And
at
this
time,
JMP
is
sending
the
reports
and
the
data
up
to
JMP Live
to
publish
it
on
the
web.
The
results
screen
appears,
and
I
see
three
sections.
First is
the
location,
that's
the
yields
folder
that
I
created
in
the
space,
Eric
and
Chris.
Second
section
are
the
new
reports.
That's
the
two
reports
that
we
were
working
with
in
JMP.
And
the
third section
is
the
new
data
that
was
added
to
JMP Live.
T
hese
are
the
data
tables
that
are
used
to
support
the
two
reports
that
we
sent.
All
of
these
values
are
hyperlinks.
So
if
I
click
on
the
yields,
I've
brought
to
a
folder
on
the
web
that
shows
the
two
reports
that
I
added
to
JMP Live.
The
one
on
the
left
is
the
yield
report,
and
I
have
the
column
switcher
that
I
added,
just
like
I
had
in JMP,
I
can
switch
between
the
products
and
see
the
yield
data
for
each
product.
If
I
go
back,
I
see
the
fit
model.
And
in
this
report,
the
profiler
is
present,
and
it's
as
interactive
as
it
was in
JMP.
So
now
anyone
that
has
access
to
JMP Live
can
use
the
same
data
and
provide
the
same
analysis
that
they
had
in
JMP.
So
Eric,
I
think
that's
a
good
first step.
Can
you
take
a
look
and
see
if
maybe
that's
enough?
-I
can
do
that.
All
right.
Well,
that's
interesting.
Let
me
go
see
if
I
can
only
go
to
my,
we
go
to
JMP Live
in
my
web
browser
here.
And
here's
the
instance
of
JMP Live
that
we're
doing
this.
I'll log
into
that.
All
right.
Okay.
I
can
see,
even
right
in
my
homepage,
I
can
see
the
two
reports
that
Chris
created.
I'm
going
to
go
ahead
and
go
to
the
space
where
we're
collaborating
here.
So
there's
the
Eric
and
Chris
space.
And there's
the
yields
folder.
All
right.
Well,
let's
see
what
we've
got
here.
So
here's
the
widget, is
that
profiler
that
I
heard
Chris
talking
about.
So
yeah,
this
looks
very
helpful.
I
think
our
engineers
will
appreciate
this
interactivity.
One
thing
I
would
like
to
do,
though,
is
I'd
like
to
look
at
the
data
behind
this
report.
This
is
something
else
that
we
added
new
in
JMP Live
17.
I
need
this.
Let
me
grab
this.
To
get
to
the
data,
I
can
go
to
this
details
here
and
scroll
down.
And
there
is
photo
process
app.
That's
the
data
table
that
Chris
published
that's
behind
this
analysis
here.
So
I
will
go
there,
and
then
I
can
just
go
to
view
data
right
here,
and
that
will
bring
that
data
up
in
a
browser
so
that
I
can
just
take
a
look
at
it.
It
doesn't
have
the
full
power
of
the
JMP
data
table.
I
can't
edit
the
data,
and
I
can't
do
a
number
of
things
that
you
can
do
in
the
JMP data
table.
But
I
can
do
a
number
of
things,
and
I
can
look
through
it
and
just
get
an
idea
what
the
data
looks
like.
So
kind of I
get
a
feel
for
what's
going
on
here.
Now,
one
thing
I
notice
as
I'm
scrolling
through
this
data
is
that
there
are
two
material
suppliers
for
this
photo
process
that
Chris
has
analyzed
here,
advanced
materials
like
it
is,
and
Cooper.
I'm
curious
if
the
material
supplier
has
any
effect
on
the
relationship
between
the
factors
and
the
responses.
I'm
going
to
go
back
to
that
report
here.
Here it
is.
So
what
I
want
to
do
is
I
want
to
add
a
data
filter
to
this,
to
filter
on
that
material
supplier.
Now
I
can't
do
that
directly
in
JMP Live.
For
that,
I
need
JMP.
But
it's
really,
JMP
is
only
one
click
away.
When
you're
in
JMP Live
17,
there's
a
button
up
here
called
open
in
JMP.
So
if
I
click
that,
it's
going
to
open
this
report
right
here
and
the
data
behind
it
into
JMP.
And
there
it
is.
And
here
is
the
report.
And
then
down
here
is
the
data.
Now
we've
opened
it
into
a
JMP
project.
You
may
or
may
not
have
used
JMP
projects
in
the
past,
but
a
JMP
project
is
a
convenient
way
to
collect
reports
and
data
that
kind of go
together
into
one
object
so
that
you
don't
lose
track
of
what
goes
together.
Because
in
JMP Live,
when
you
have
a
report,
it
has
data
that
goes
along
with
it.
In
order
to
keep
those
together,
when
we
open
them
in JMP,
we
go
ahead
and
put
them
into
a
project,
just
to
kind of hold
everything
together.
But
other
than
that,
it
will
work
just
like
JMP.
So I
can
go
up
here
to
the
red
triangle
and
go
to
local
data
filter.
And
under
factors,
I
have
material
supplier.
So
I
will
add
a
data
filter
for
that.
And
I
will
check
right
here
in JMP
to
make
sure
that
it's
worthwhile
to
add
this
even.
And
sure
enough,
there
is
a
good
bit
of
movement
in
the
graphs
as
I
click
between
the
two
material
suppliers.
So
I
think
that's
a
worthwhile
addition
to
what
Chris
did.
So
I
would
like
to
publish
this
back
to
JMP Live
and
replace
the
version
that
Chris
published.
We
set
up
our
space
because
we're
collaborating.
We
set
it
up
so
we
have
the
ability
to
edit
each
other's
content.
You
don't
have
to
set
it
up
that
way.
You
can
set
it
up
so
that
each
person's
content
is
private
from
the
other
people,
or
not,
at
least
not
editable.
But
we
wanted
to
be
able
to
collaborate,
so
we
set
it
up
in
the
way
we
did.
So
let's
do
file
publish
reports
to
JMP Live.
We're
getting
things
ready.
Okay.
There's
the
list
squares
report
that
I
just
created.
Now
I'm
not
going
to
publish
new
this
time,
I'm
going
to
replace
an
existing
report.
So
let's
choose
that.
So
here's
the
report
I'm
publishing.
Now
I've
got
to
tell
JMP
what
report
on
JMP Live
do
I
want
to
replace.
So
I
click
here,
and
I
can
see,
here's
the
fit
lease
squares
that
Chris
just
created
moments
ago.
So
I
will
select
that.
So that's
the
report
I
will
replace.
And
I
will
add
just
a
little
extra
to the
title
there,
just
so
we
differentiate
between
the
two.
I
will
click,
and
I
will
click
next.
Now
I'm
presented
here
with
an
interesting
decision
I
need
to
make.
When
Chris
published
this
data
to
JMP Live,
the
photo
process
opt
data.
And
when
I
downloaded
that
to
my
machine,
it
just
made
a
copy
of
that
same
data
table
on
my
machine.
I
don't
really
need
to
republish
the
data
here,
because
Chris
already
published
it.
All
I
want
to
do
is
republish
the
report
that
has
my
data
filter
in
it.
So
rather
than
doing
anything
to
the
data
that's
on
JMP Live
that
Chris
published,
I'm
just
going
to
say,
use
the
JMP Live
data
table.
Use
the
table
that's
already
on
JMP Live
that's
associated
with
the
report
that
I'm
replacing.
Click,
replace.
Off
it
goes.
All
right.
So
you
see,
I
have,
there's
the
folder
that
I
put
it
in,
and
here's
the
report
I
created.
And
you
see,
it
doesn't
show
any
data
tables
here
being
published.
And
that's
because
of
the
choice
I
made
to
just
keep
using
the
data
that's
already
out
there.
All right.
Well,
if
I
go
back
to
my
JMP Live window
here,
you
can
see
that
there's
a
little
note
here
that
an
updated
version
of
this
report
is
now
available
because
I
publish
something
new.
It
doesn't
immediately
update
it
because
you
might
be
in
the
middle
of
something
with
this
report,
and
don't
want
it
to
be
jerked
out
from
under
you.
So
we
let
you be
the
one
to
decide,
okay,
I'm
ready
to
reload
this.
And
when
I
reload
it,
there's
my
data
filter
that
I
added.
So
I
can
select
advanced
materials,
and
there's
the
data
filter
for
advanced
materials.
Switch
over
to
Cooper.
And
I
get
the
slightly
different
curves
there.
All right.
So
I
am
happy
with
that
part.
L
et's
take
a
look
at
what
else
Chris
did
over
here.
So
here's
the
yield
report
that
Chris
published.
It looks
fine.
I
can
switch
between
them
and
see
them.
But
one
thing
I
might
like
to
do
here
is
create
a
control
chart
for
this
yield
process.
You
can
think
of
a
yield
process
as
being
in
control
or
out
of
control,
and
that
might
be
a
helpful
way
to
display
the
yield
process.
So
I'm
not
sure
that
that's
what
we
want
to
do,
but
I'm
going
to
create
that
and
then
add
it
to
the
folder
that
Chris
created,
so
we
can
look
at
the
two
and
decide
which
one
we
like
better
or
maybe
you
like
them
both.
So
to
do
that,
I
don't
need
to
download
this
report,
because
I'm
not
going
to
do
anything
to
his
report.
I'm
going
to
make
a
new
report.
So
I'm
going
to
go
over
to
the
data
for
it,
and
I'm
going
to
open
that
in JMP.
Give
it
permission.
And
there
you
go.
So
now
we
didn't
need
to
create
a
project
or
anything
in JMP.
We
just
brought
the
data
table
down
and
it
looks
like
any
other
data
table
you
would
open
in JMP.
Now,
in
the
interest
of
time,
let's
go
to,
let's
see,
let's
go
to
the
home
window
here.
Now
here's
my
script
right
here.
So
I
made
a
script
to
create
the
control
chart
that
I'm
interested
in.
So
I
will
just
run
that
script.
And
there
is
that
same
information
that
Chris
published,
only
this
time
it's
in
the
form
of
a
control
chart,
so
I
can
go
down
and
look,
I've
set
some
spec
limits
on
here,
so
I
can
see
that
maybe
some
of
them
look
pretty
good.
Others,
here's
one
that
looks
like
it's
completely
all
the
yields
are
below
the
lower
spec
limit.
So
that
looks
like
a
process
that
we
might
want
to
look
at
and
try
to
improve
the
yield
on.
Okay,
so
I
like
the
way
this
looks,
I
think
this
is
a
good
addition
to
our
collaboration
here.
So
I
will
publish
this
as
well.
I'll
publish
reports
to
JMP Live.
There's
the
yield
control
chart
that
I
just
created.
I'm
going
to
publish
new
and
what
space
do
I
want
to
put
that
in?
Well,
here's
the
Eric
and
Chris
space
that
we've
been
collaborating
in.
And
here's
the
yields
folder.
So
I
want
to
put
that
right
in
there.
Now
let's
think
about
the
data
for
this
one
as
well,
because
here
again,
I've
made
a
new
analysis,
but
I
haven't
changed
Chris's
data.
So
I
really
don't
want
to
republish
the
data
with
this
report.
I
just
want
to
continue
using,
I
want
this
report
to
use
the
data
that
Chris
already
published
to
JMP Live.
So
to
do
that,
I
need
to
go
to
the
data
options
tab.
And
for
the
yield
five
star
dot JMP
data
table.
Instead
of
publish
new
data,
I
need
to
select
existing
data,
and
I
will
find
a
data
source.
And
here
it
is,
yield
five
star.
That's
the
one
I
want.
I
will
save
that,
and
now
I
can
publish.
There
we
are.
Again,
we
have
the
folder
and
the
report.
No
data,
because
we
didn't
ask,
we
asked
jump
not
to
publish
the
data.
So
should
be
good
there.
I
can
go
back
to
jump
live.
And
I've
got
some
new
posts,
and
there's
my
control
chart.
So,
see
how
that
looks.
Hopefully
there
it
is.
All
right.
That
looks
pretty
good.
Now,
Chris,
so
I've
made
some
updates
to,
I've
updated
one
of
your
reports
and
created
a
new
report
out
there.
But
as
I
was
creating,
I
was
wondering,
we've
got
all
the
yields
up
to
date
to
today,
but
tomorrow
we're
going
to
produce
more
Widgets,
and
we're
going
to
have
a
yield
value
in
the
day
after
that,
and
the
day
after
that
on
into
the
future.
So
I
wonder
if
there's
a
way
that
we
could
allow
all
these
reports
that
we've
just
created
to
automatically
update
periodically,
and
maybe
daily
when
we
have
new
yield
data.
Can
we
do
anything
like
that?
-Sure,
I
think
we
can.
So
in
the
past,
even
before
JMP 17,
we
could
update
data
from
JMP.
So
in
the
past,
if
I'd
had
this
request,
I
would
have
used
a
simple
GSL
script
that
would
have
opened
the
data
table
that
Eric
wants
to
update
every
day,
would
have
updated
the
values
from
the
database,
then
would
have
connected
to
JMP Live,
and
then
updated
the
data
on
JMP Live
with
the
new
data
table
using
the
ID
of
the
post
on
JMP Live.
So
that's
good,
except
I
still
have
to
remember
every
morning
when
I
come
in
to
make
sure
before
I
get
my
coffee,
that
I
need
to
push
this
up
to
JMP Live
so
Eric
gets
the
new
data.
It's
going
to
be
hard
to
do
if
I'm
on
vacation,
and
I
know
I
won't
remember.
So
maybe
in JMP Live.
There's
a
better
way
to
do
it.
So
here
I
am
on
the
yields
folder,
and
I
can
see
Eric's
new
report
that
I
like
a
lot,
the
control
chart
report,
but
I
need
to
see
if
there's
a
way
to
update
the
data.
So
I'll
go
to
the
data
table,
and
here
I
can
see
the
two
reports
that
use
this
data
table.
And
Eric's
asked
if
we
can
update
this
data
every
day.
I
see
an
update
data
button
here
on
JMP Live
.
That
might
help.
Let's
try
that.
So
I'll
push
the
update
data
button,
and
now
I
can
select
the
data
table
on
my
local
machine
and
update
JMP Live
with
that
data
table.
Marginally
better,
I
guess,
because
now,
at
least
I
guess
I
don't
have
to
run
the
last
line
of
the
script,
but
I
still
have
to
update
the
data
table
with
the
data
from
the
database,
and
then
use
this
button
to
upload
the
new
data
to
JMP Live.
Still
I have
a
lot
of
steps
that
I
need
to
remember
to
do
every
day,
and
I
probably
won't.
If
we
look
under
settings,
there's
some
new
items
here
in
JMP Live
17
to
make
this
a
lot
easier.
The
first one
we
see
are
the
refresh
settings.
That's
exactly
what
I
want
to
do.
I
want
to
refresh
the
data
as
quick
as
every
morning.
So
Eric
gets
the
new
data
and
the
rest
of
the
engineers
as
well.
So
I'll
make
this
refreshable,
I'll
go
back
to
the
reports.
And
now
the
update
data
has
changed
to
refresh
data.
And
so
I'll
refresh
the
data.
I
get
an
error
that
says
it
can't
be
refresh
able
because
the
refresh
script
is
empty.
I'll
go
back
to
the
settings,
and
sure
enough,
there's
nothing
in
my
refresh
script.
When
we
look
at
this
screen,
we
see
this
source
script.
When
we
updated
or
uploaded
the
JMP
data
table
to
JMP Live,
we
stored
the
source
script
off
for
that
data
table,
and
you
see
it
here.
In
this
case,
this
source
script
can
be
used
to
refresh
the
data
directly.
So
all
I
really
need
to
do
is
to
copy
this
source
script doubt,
add
it
to
the
refresh
script,
and
then
see
if
that
will
refresh.
So
I'll
copy
the
source
script,
and
then
I'll
paste
it
in
the
refresh
script.
So
now
we
have
the
connection
to
the
data
source
and
the
creation
of
the
data
table.
I'll
save
that.
And
then
now
I'll
try
to
do
another
refresh.
I'll
refresh
the
data.
This
time
it
got
queued
for
refresh.
That's
nice,
but
it
failed
to
refresh.
So
if
I
look
at
the
history
tab,
I
can
see
the
different
things
that
have
happened.
The
on demand
data
refresh
that
I
just
ran
looks
like
it
failed.
And
if
I
look
at
the
details,
I
can
see
that
an
unknown
error
occurred
with
the
connection
string.
It
may
not
seem
that
helpful,
but
fortunately,
I
know
what's
wrong.
So
I'll
go
back
to
the
settings.
We'll
look
at
the
refresh
script
for
a
second.
If
you
look
at
the
refresh
script,
you'll
see
there's
a
password
and
a
user
ID.
Now
I
could
just
paste
my
password
in
here
and
my
user
ID
in
here.
I
don't
think
that's
overly
secure.
I
don't
think
that's
a
good
idea.
So
JMP Live
is
provided
this
substitution
parameter
syntax
for
user
ID
and
password
in
a
refresh
script.
So
what
I
need
to
do
is
I
need
to
provide
this
user
ID
and
password
to
this
refresh
script
somehow
securely.
So
if
I
look
at
the
assigned
credentials
tab,
or
hanging
here.
I
can
see
there
are
no
credentials
assigned.
I'll
go
into
assign
a
credential.
To
create
a
credential,
it's
pretty
simple.
You
just
store
the
credential
name,
you
provide
the
user
ID
and
the
password.
That's
all
there
is
to
it.
You
do
it
every
day.
But
I've
already
set
up
a
yield
table
credentials
here
with
DBA
web
JMP
as
a
username
and
a
secure
password
that's
stored
in
a
database.
I'll
assign
that
credential
to
the
refresh
script
and
then
save
that.
So
now
what's
going
to
happen
is
this
refresh
script
is
going
to
run.
When
it
runs,
it
will
request
the
assigned
credentials,
add
the
user
ID
and
password
to
the
substitution,
and
then
run
the
refresh.
So
I'll
go
back
to
the
reports,
and
I'll
see
if
I
can
refresh
the
data
now.
I'll
run
refresh
data.
Now
the
refresh
looks
like
it
worked.
I
see
my
reports
are
automatically
regenerating,
and
I
can
actually
see
the
thumbnail
on
the
report
was
updated
with
the
new
yield
data
from
the
database.
So
now
I'm
a
lot
closer.
I
have
a
refresh
data
button
here
that
all
I
have
to
do
is
press
it,
and
it'll
refresh
the
data.
I
don't
have
to
update
a
data
table.
I
don't
have
to
upload
anything
to
JMP Live.
All
I
have
to
do
is
come
in
every
morning
and
remember
to
press
this
button.
It's
at
least
more
likely,
but
it's
still
not
going
to
happen,
I
promise,
especially
when
I'm
at
the
beach.
So
there's
one
more
pain
that
we
haven't
messed
with
yet,
and
that's
the
refresh
schedules.
The refresh schedules provide
us
a
way
to
set
up
times
to
refresh
this
data
automatically.
Sounds
like
what
I
want.
So
I'm
going
to
set
up
a
refresh
schedule
that
will
run
at seven o'clock
every
morning
and
update
this
data.
I
don't
think
I
need
to
run
it
on
Sundays
or
Saturdays,
and
so
I'll
take
those
two
out
of
the
list,
and
I'll
save
that.
So
now
this
refresh
schedule
is
in
place,
which
means
the
refresh
script
will
run
five
days
a
week
at
seven o'clock
in
the
morning.
So
I'll
go
back
to
my
reports,
and
you
guys
just
sit
and
talk
amongst
yourselves
while
we
wait
for
seven o'clock
to
show
up.
Probably
not.
So
let's
see
if
we
can
look
into
getting
a
reef
fresh
to
happen.
We'll
create
another
schedule
here
that
runs
every
5
minutes.
And
I'll
set
that
to
run.
This
is
the
most
complicated
part
of
the
demo.
I
will
set
that
to
run
at
five,
where
we
run
here
in
just
a
second.
So
let's
see,
I
think
it's
going
to
be
27.
Let's
see
if
that's
right.
-And you
can
just
put
32
or
33.
There
you
go.
-Yeah.
So
now
I
have
a
refresh
schedule.
It's
going
to
run
every
5
Min,
and
I
think
I
calculate
it
properly,
so
to
run
in
just
a
few
seconds.
JMP Live
is
going
to
tell
me,
yes,
it's
going
to
run
in
just
a
few
seconds.
We
go
back
to
the
report
tab,
and
we'll
wait
for
about
15
seconds
here
for
the
refresh
to
run.
Refresh
schedules
are,
you
can
have
as
many
as
you
want
for
each
data
table.
We
won't
run
two
at
a
time.
So
now
the
refresh
is
about
to
run.
You
see
the
automatic
refreshes
as
run.
My
reports
are
updated.
Well,
they're
still
updating.
So
both
reports
have
updated
now,
just
a
few
seconds
ago,
if
I
actually
go
to
the
data,
we
also
see
it
was
updated
a
few
seconds
ago.
If
we
look
at
the
history,
there
was
a
scheduled
data
refresh
that
ran
by
the
scheduler
just
a
few
seconds
ago.
So
now
we
have
a
situation
where
the
data
automatically
refreshes
every
morning,
just
like
Eric
wants,
whether
I'm
on
vacation,
whether
I
remember
or
not.
So
I
think
this
is
pretty
much
what
Eric
wants.
So,
Eric,
how
does
that
look?
-Chris,
that
really
looks
good.
Let
me
click
the
new
posts
here,
and
I
can
see,
I'm
seeing
the
updated
versions
of
the
reports
with
the
new
data.
So
that
sounds
fantastic.
-I
think
you
may
have
shared
your
wrong
screen, E
ric.
-Okay.
Let's
try
that
again.
Let's
stop
sharing.
Let's
share.
Here
it
is.
Yep.
Yeah,
Chris,
that
looks
really
good.
I'm
looking
at
JMP Live
here,
and
I
see
the
two
reports,
and
I
can
see
that
the
data
has
been
updated.
Looks
like
our
yield
process
is
coming
right
along.
The
process
that
they
put
in
place
recently
seem
to
be
pushing
yields
up
at
least
for
this
particular
part
that
we're
seeing
in
the
thumbnail.
So
that
is
really
good.
Well,
now
that
we've
got
this
in
place
and
it's
working,
there's
more
people
than
just
the
two
of
us
who
would
like
to
be
able
to
see
this.
So
I
would
like
to
move
these
analyses
and
data
that
we've
created
over
to
a
space
that
has
more
people
allowed
to
see
it.
Just
for
reference,
if
I
go
to
the
permissions
of
this
space,
the
Eric
and
Chris
space,
the
only
two
people
who
can
see
content
in
this
space
are
Chris
and
myself.
So
we
want
to
rather
than
add
people
to
this
space,
we
want
to
go
ahead
and
put
this
in
a
space
that
other
people
already
are
used
to
going
to.
So
to
do
that,
I
can
switch
over
to
the
files
view
of
this
particular
folder.
And
I
can
see
it
looks
a
little
bit
more
like
a
file
explorer
here.
I've
got
the
three
reports
in
here,
and
I've
got
the
two
data
tables.
This
one
here,
it's
got
a
little
bit
of
different
icon
to
indicate
that
it
is
automatically
refreshing
on
a
schedule.
So
that's
nice
to
know.
So
I'm
going
to
grab
these
five
posts
here,
and
then
I
will
go
to
move
up
here,
and
we
will
move
those.
I
need
to
pick
a
different
space.
And
the
space
is
called
discovery
America's
2022.
And
there
is
a
folder
in
that
space
called
five
star
line.
That's
the
line
of
products
we're
responsible
for.
So
I'm
just
going
to
move
those
over
there.
All
right.
They're
gone
from
here.
That's
half
the
battle.
Let's
go
back
to
my
space
directory
here
and
flip
over
to
the
discovery
space,
into
the
yields
folder
and
the
five
star
line.
And
there
are
our
reports,
right
there's
the
report
that's
scheduled
update.
So
in
this
space,
as
I
mentioned,
this
space
has
all
the
people
that
are
going
to
be
interested
in
this
yield
data,
not
just
Chris
and
I,
but
the
other
engineers
that
we
work
with.
So
that's
one
approach
to
putting
some
content
in JMP Live,
massaging
it,
making
sure
you
like
it,
and
then
share
it
with
a
larger
group
of
people.
So
that's
a
use
case
that
we
support
here.
All
right. Well,
let
me
flip
back
to
my
slides
here.
If
you'd
like
to
view
the
content
that
you
saw
us
create
here
today,
there
it
is.
The
place
we
published
it
to
on
JMP Live
is
actually
viewable
by
anyone
who
can
log
in
to
this
JMP Live
instance,
dev
live
17.
jmp.com.
There's
a
little
shortened
link
to
it
down
here.
And
hopefully
we'll
get
to
the
slide,
so
you
can
just
click
on
it.
But
as
long
as
you
have
a
SAS
Profile
ID,
you
will
be
able
to
successfully
log
into
Dev
Live
17.
And
you
can
go
find
that
report,
those
reports
we
just
published,
and
you
can
watch
it
every
5
minutes,
at
least
for
the
length
of
discovery,
they'll
be
updating
so
you
can
watch
that
yourself.
All
right.
W
ith
that,
we
will
see
if
we
have
any
questions
and
that
will
do
it.
Thanks
for
joining
us
everybody.
