►
From YouTube: HubHacks2 SAP Session
Description
SAP presents at the 2nd Annual HubHacks event on March 14.
A
A
A
How
can
we
simplify
the
process
of
consuming
that
information
in
a
valuable
way?
How
can
we
simplify
the
mashing
and
merging
and
the
enriching
of
that
data,
so
I'd
love
to
walk
through
the
SI
p
strategy
and
explain
a
little
bit
about
where
our
data
visualization
tool
fits
into
that
strategy,
so
at
the
core
of
everything
that
we're
doing
at
SI
p?
A
Is
this
in
memory
technology
called
Hana
and
Hana
with
applications
and
analytics
on
top
of
it
really
drives
this
simplistic
vision
with
our
applications
and
also
our
analytic
solutions,
along
with
our
user
experience,
we've
simplified
the
way
that
we're
addressing
the
marketplace
and
all
the
industries
that
we
address,
along
with
our
ecosystem
of
partners
as
well.
What
this
really
looks
like
for
you
all
today
odd
way
to
approach
data
visualization
in
a
moment
we're
going
to
walk
through
SI,
p,
Lumira
and
we'll
show
you
the
power
of
Lumira
when
running
on
this
end
memory.
A
Technology
with
SI
p,
is
in
memory
technology
at
the
foundation
you're
going
to
be
able
to
access
an
unlimited
amount
of
data
and
access
that
data
in
real-time
merge
it
together.
It
really
opens
up
the
door
to
a
whole
nother
level
of
innovation
possibilities
so
when
it
comes
to
SI,
p
Lumira
and
with
any
data
visualization
tool,
the
first
step
is
going
to
be
to
acquire
that
data.
So
we
all
got
access
to
a
bunch
of
really
neat
data
sets.
Today,
when
you
pull
that
data
into
Lumira,
you
can
use
a
variety
of
different
sources.
A
If
you
will
so,
we
can
pull
in
the
standard,
Excel
CSV
files
data
sets.
You
can
also
connect
universes
or
run
some
freeform
sequel
as
well.
Once
the
data
is
in
Lumira,
you
have
the
ability
to
enrich
that
data,
so
merging
different
data
sets
together.
Adding
data
sets
and
toggling
between
them
as
you're
building
out
visualizations.
A
You
can
create
calculations
on
your
dimensions
and
measures
and
also
build
some
hierarchies
to
really
enhance
the
dimensional
options
that
you
have,
so
you
can
make
geospatial
hierarchies
and
time
hierarchies
as
well
when
it
comes
to
building
your
visualizations
in
lomira
you're,
going
to
have
a
lot
of
different
options.
So
it
comes
with
a
gallery
of
visualizations
from
your
traditional
pie.
Chart
bar
chart
things
like
that.
All
the
way
to
more
advanced
options
like
radar,
charts,
different
work,
clouds,
heat
maps
tree
max
things
like
that.
A
You
also
have
the
ability
to
build
some
custom
visualizations
as
well.
So
if
what
comes
out
of
the
box
with
Lumira,
isn't
enough
and
you'd
like
to
build
something
from
scratch,
then
you
can
definitely
do
that
and
Mike's
going
to
talk
specifically
about
how
you
can
build
your
own
visualizations
later
on
and
then
from
there
when
it
comes
to
exploring
your
data
in
lomira
and
making
it
intuitive
and
compelling
for
your
users
and
further
our
audiences
for
the
competition
you
can
create
what
are
called
storyboards
storyboard
is
essentially
interactive
report.
A
That's
going
to
bring
all
of
your
visualizations
together
and
give
you
the
ability
to
tell
a
compelling
story
with
those
visualizations.
You
can
also
build
infographics
and
also
reports
with
SI
p
Lumira,
and
then
you
can
share
those
out
across
your
teams.
So
I
was
showing
for
our
own
internal
team,
we're
going
to
be
using
Lumira
and
then
we're
a
cloud
and
be
able
to
collaborate
on
top
of
our
visualizations
and
our
datasets
that
we're
working
with
any
questions
so
far
before
we
get
into
the
tool.
B
B
A
B
A
There
we
go
once
you
have
your
data
inside
Lumira.
This
is
what
you're
going
to
see
so
we're
going
to
walk
through
the
different
rooms
of
Lumira,
starting
with
the
prepare
room
on
the
left
hand,
side.
This
is
where
we
have
our
measures
and
dimensions
and
you'll
notice.
Here
we
also
have
our
hierarchy,
so
we
were
able
to
pull
in
some
geospatial
data
and
build
out
additional
dimensions
based
on
that
information,
as
well
as
time
information.
So
we
can
build
some
time
hierarchies
as
well.
A
When
it
comes
to
enriching
the
data,
you
can
build
your
calculations
on
your
dimensions
and
measures,
and
you
can
also
emerged
data
sets
together.
So
for
this
example,
today
I
took
some
data
from
the
Boston
sites
and
dispatch
information
and
merged
it
with
some
geospatial
information
as
well,
and
you
can
do
that
with
any
of
the
data
sets
that
we
all
have
access
to
now
for
the
for
the
hub
pack
challenge.
A
You
can
also
do
some
data
manipulation
at
the
column
level,
all
the
way
down
to
the
data
element.
So
when
you
select
your
column
on
the
right
hand,
side,
we
have
all
these
options
available
to
us.
You
can
do
some
grouping.
You
can
merge
different
columns
together
some
find
and
replace
some
standard
data
quality
things
that
you
would
like
to
do,
and
you're
also
able
to
add
data
sets
so
I'm
going
to
add
a
data
set
here.
I
have
some
population
information
that
I
want
to
do
some
visualizations
on.
A
A
And
once
you're
ready
to
visualize
your
data
and
information
we
can
head
over
into
the
visualize
room
here
so
make
a
new
visualization
on
the
left
hand
side
again,
we
still
have
our
measures
and
dimensions
and
we're
going
to
be
creating
some
grass
and
visualizations
in
this
central
workspace
area
and
the
way
you're
going
to
do.
That
is
simply
by
dragging
and
dropping
these
measures
and
dimensions
into
the
placeholders
that
you
see
here
and
we've
got
this
gallery
of
visualization
options
that
you
can
use.
A
So
it's
great
about
Lumira
and
what
you
can
use
this
for
it
and
you
as
we're
exploring
these
data
sets
is
for
some
real
data
discovery.
So
when
you
pull
in
your
data
set,
lomira
is
actually
going
to
read
it.
It's
going
to
push
you
some
recommendations
to
say
this
could
be
an
interesting
way
to
look
at
this
data.
This
could
be
a
cool
place
to
start
so
as
we're
all
getting
familiar
with
the
data
sets
that
are
now
available
to
us.
A
So
if
we
wanted
to
build
out
a
really
simple
visualization
from
scratch,
we
could
pull
in
our
information
on
the
total
amount
of
dispatch
calls
and
the
incident
type
descriptions
I'll
switch
this
here
we
can
see
you
know,
there's
a
lot
of
information.
So
if
we
wanted
to,
let's
say
sort
this
in
ascending
order
and
then
to
simplify
it
a
little
bit
more,
we
can
also
rank
these
values
as
well.
So
if
we
wanted
to
say
what
are
the
top
10
incidences
that
dispatch
calls
were
being
based
on,
we
can
do
that
really
quickly.
A
If
we
wanted
to
switch
out
the
fire
department
and
pull
in
the
police
department,
for
example,
we
can
do
that
and
then
change
our
visualization
here
into
something
like
a
donut
chart
if
we
wanted
to
you'll
notice,
I
added
that
ranked
at
the
top
here.
So
all
your
filters
are
going
to
be
able
to
kind
of
create
a
cookie
crumb
trail.
If
you
will
so,
you
always
know
where
you
came
from
and
we
can
get
rid
of
the
filters
as
we
if
we
want
to.
A
In
addition,
you're
able
to
use
some
custom
visualizations
as
well.
So
I
mentioned
the
extensions
that
you're
able
to
do
I'm
nice
going
to
talk
specifically
about
that
in
a
moment.
But
if
we
wanted
to
look
at
our
same
information
and
let's
say
in
a
line
chart
with
some
zooming
capabilities,
we
can
do
that
here
and
we
have
some
dimension
here
on
the
weapon
type
that
was
used
with
these
different
situations.
A
Now
we
also
have
some
geospatial
information,
so
we've
pulled
in
that
geospatial
data
set
that
I
merged
together
and
we
created
that
geospatial
hierarchy.
So
with
limera,
you
have
some
out-of-the-box
mapping
tools
and
you
can
also
use
ESRI.
So
once
our
SP
map
is
loaded,
we
can
start
creating
some
different
layers
of
data
on
this
map.
So
if
I
pull
in
our
street
name
dimension
and
we
can
pull
in
the
total
amount
of
incidences
of
happened
now,
we
can
see
a
color-coded
view
on
a
map
of
what
these
situations
were.
A
We
can
zoom
in
and
toggle
over
and
get
the
line
item
detail
for
each
of
these
incidences.
At
the
same
time,
then,
let's
say
I
wanted
to
add
a
layer.
It
can
change
the
the
way
we're
looking
at
this
and
look
at
more
of
a
bubble
view
if
we'd,
like
I'll,
pull
in
our
EMS
data-
and
let's
say
we
wanted
to
look
at
the
year.
Specifically
that's
going
to
be
our
color
code.
A
Just
some
other
visualization
options
that
are
available,
you
can
use
things
like
tag
clouds,
and
these
are
really
great
when
you're
building
out
your
storyboards
and
your
reports,
because
it
gives
your
consumer
is
the
clear
view
of
your
information.
So
this
is
just
another
way
of
looking
at
the
total
number
of
incidences
that
have
happened
that
the
EMS
has
responded
to.
A
So,
if
you
remember
I
added
in
that
population
data
set
here,
so
if
we
pull
in
our
population
information,
we
can
look
at
what's
called
a
population
pyramid
chart
and,
if
I
add
in
our
different
dimensions.
This
is
going
to
give
us
a
neat
view
of
the
population
over
time,
and
this
is
another
interactive
visualization.
So
it's
going
to
give
me
the
ability
to
toggle
between
the
years
and
take
a
look
at
the
gender
disparities
across
the
time.
A
Now,
once
you
have
your
visualizations
created,
you
can
go
into
the
compose
space,
I
pre-built,
an
infographic
and
a
story
border
to
show
you
what
it
looks
like,
and
this
is
the
infographic
option.
So
I
created
this
using
a
template
that
Lumira
comes
with,
and
in
order
to
create
this,
all
you
have
to
do
is
drag
your
visualizations
into
the
space
and
then
start
working
with
it
and
making
it
look
the
way
that
you
want
it
to
look.
A
So
this
is
a
great
way
to
showcase
your
findings
and
your
insights
that
you
create
with
the
different
data
sets
that
we
now
have
and
then,
if
we
wanted
to
create
a
new
story
board,
this
is
going
to
you.
Can
yep
I'll
show
you
that
right
now?
Actually,
if
you
create
a
new
story,
border
infographic,
you
can
select
your
template
and
then
we're
able
to
drag
and
drop
the
visualizations
in
here.
Now
to
your
point,
if
you
wanted
to
give
some
filtering
capabilities,
those
are
called
the
input
controls.
A
So
now,
as
soon
as
I
click
input
controls,
it's
going
to
give
me
all
of
our
dimension
options.
So,
if
I
knew
that
you
wanted
to
filter
down
on
the
year
specifically,
I
can
give
you
that
control
here,
so
that
when
you're
viewing
this
either
on
your
mobile
device
or
on
your
own
iteration
of
Lumira,
you
can
then
filter
in
by
the
year
all
the
visualizations
will
adjust.
A
Other
questions
so
far,
what
do
you
guys
think
yeah,
okay,
I'll
just
show
you
a
couple
other
other
things
that
we
created
here
just
to
give
you
an
idea.
So
when
you
create
your
storyboard
there's
a
lot
of
options
when
it
comes
to
the
page
settings,
you
can
change
the
look
and
feel
to
fit
whatever
you'd
like
change.
The
background
change
the
color
schemes
and
things
like
that.
A
C
Thanks
chosen
so
you've
seen
how
you
know,
son
of
some
of
our
desktop
to
visualize
data
can
be
used
to
create
get
some
ideas
on
what
some
of
those
data
is
all
about.
Joint
data
together
really
want
to
eat
my
suspect.
Take
it
to
the
next
step
is
wrap
those
apps
etc,
but
still
leveraging
the
same
underlying
was
like
nation
engine
and
something
else
which
shelf
invention.
Witches
are
hana
platform,
so
around
a
platform
is
best
way
for
you
to
even
think
about
it.
C
Right
now
is
an
application
stack
that
includes,
and
particularly
datasets
important
to
honor
also
includes
an
application
server.
So
you
can
write
code
to
expose
that
data
is
restful
services,
I,
OS
client,
just
the
browser
and
also
have
a
national
5
to
10,
which
lets
you
just
web
standards
based
until
on
top
of
jQuery,
deeply
excited
with
types
libraries.
C
B
C
C
As
an
end
user,
I
get
this
dashboard
potential.
This
could
be,
let's
say,
for
example.
This
is
my
idea
of
in
the
submission.
So
all
these
charts
here
were
created
in
Lumira,
so
all
I'm
doing
here
is
just
rendering
them
through
the
API
into
this
web
page.
So
when
I
click
on
the
configure,
you
see
that
seem
familiar
editing
control.
That
Chelsea
has
showed
you
a
minute
ago.
So
you
have
food
control,
so
I
wanted
to
change
this
to
a
bar
chart.
You
can
do
it
now
inside
of
your
app
simply
hit
save
there.
C
It
is
so
you
can
do
things
like
move
things
around.
You
have
want
that
over
there.
Maybe
buddy,
don't
so
again,
just
an
ideal,
the
types
of
applications
that
you
can
build
on
top
of
lomira,
but
also
using
this
API
as
a
vassal.
Some
of
the
other
common
scenarios
you
may
want
to
do
is
search
right,
so
sleepy
hollow
provides
this
message,
surgeon,
one
structured
search,
so
you
can
into
entity
extraction,
language
processing,
etc.
C
So
maybe
I
wanted
to
real,
simple
search
on
something
I,
don't
know
it's
going
to
pull
up
every
attribute
that
exists
in
those
data
source
and
all
the
values
that
match
the
word,
my
a
mean
for
example,
so
I
can
filter
or
not.
If
I
don't
know
what
I'm
looking
for.
Similarly,
you
can
simply
just
select
something
on
the
chart:
hit,
filter,
exact,
it's
a
schism
and,
on
the
left
hand,
side.
You
also
have.
C
Going
back
to
your
point,
you
can
expose
as
many
filters
as
you
want.
So
here
they
are
on
the
left.
I
can
look
at
how
they
stack
up,
maybe
select
you
know
top
5,
etc.
It's
a
bit!
So
that's
one
example:
another
example
based
on
the
data
that
was
provided,
is
sort
of
a
cross
correlation
between
9
10
citizens,
because
public
works
data
Sarah.
So
you
see
this
tree
control
on
the
left
again,
using
those
same
restful,
kpi's
I
can
sort
say,
maybe
I'm
interested
in
all
the
violence
in
Boston.
C
So
if
you
look
down
here,
gives
you
the
record
councils,
proxima
I'm,
looking
at
three
million
records,
but
as
you
saw,
it
took
not
even
a
second
to
bring
that
up,
there's,
probably
no.
Where
else
you
can
do
this
and
get
that
type
of
response.
So,
let's
zoom
in
again
everything
is
instantaneous
that
looks
kind
of
ridiculous
rant.
C
So,
let's,
if
you
look
at
top
10%
of
all
the
violence
cases
being
useless
slider
or
we
can
use
some
of
the
other
filters
here
left,
maybe
I
want
to
look
at
while
again,
land
use
or
by
geography,
police
district
tips
are
so
I.
Didn't
click
on
on
the
cluster
get
more
details?
Well,
maybe
I
wanted
to
look
at
violence
and
cases.
Where
was
a
code
violation
of
some
sort,
so
I
can
find
that
intersection
of
data.
Again
everything
is
instantaneous,
so
any
questions
so
far.
B
B
C
This
data,
this
some
of
the
data,
is
going
to
be
geocoded
like,
as
you
see
in
the
summers,
not
so
with,
with
lomira
and
with
Halle.
You
can
actually
generate
in
the
hierarchies
the
geo
hierarchies
inside
the
tool.
So
if
there
is
all
that
log
data,
you
can
geocode
it
on
the
fly
from
your
CSV
file,
but
the
source
data
could
be
anything
CSV
file
database.
D
D
C
B
B
C
So
add
another
dimension,
yeah
so
right
now
this
is
actually
driven
off
of
a
metadata
table.
That
sort
of
reads
other
tables,
but
you
can
expose
that
through
the
UI
or
you
can
make
a
change
to
the
matinee
table.
Just
depends
on
how
you
want
manifest
it
to
the
end
user.
So
right
now
in
the
end
user
consuming
miss
application.
C
So
these
are
just
the
dimensions
that
I
chose
to
make
available,
but
so
an
example
of
an
extension
is
something
like
this
again
for
a
race
team
right.
So
this
is
actually
going
to
be
used
in
the
pit
during
the
race
right.
So
we
got
the
race
started
and
screen
is
getting
cut
off,
but
so
this
is
a
custom
personalized.
So
you
have
a
tractor
parts
going
across.
You
can
hover
or
in
your
car,
get
speed,
etc
or
you
can
isolate.
So
if
I'm,
the
Penske
team
look
at.
C
C
C
Yeah
telemetrics
it
so
a
couple
of
minutes
I
wanted
to
spend
on
this
environment
that
we've
set
up,
especially
for
you
essentially
so
I've
said
the
applications
back.
So
you
get
a
web
IDs.
You
don't
have
to
install
any
tools
if
you
don't
want
to
as
far
as
developing
applications.
So
you'll
get
this
page
where
you
can
actually
get
started,
but
essentially,
when
you
log
in
this
is
the
web
ID
that
we
use
to
connect
create
applications
here,
you
can
test
them,
debug
them
all
through
the
browser
deploy.
So,
for
example,
on
the
left.