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Yellowfin outscored traditional big name players, including Microsoft, IBM, SAP Business Objects, MicroStrategy, SAS Institute and Oracle. Yellowfin also outperformed other high profile vendors, including Information Builders, Actuate, Qliktech, Tibco Spotfire, Dimensional Insight, Arcplan, Pentaho and Jaspersoft.
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2. …
will
change
the
way
you
think
about
data.*
*
Especially
if
you
think
schools
are
already
too
data-‐driven
as
it
is.
3. What
is
it?
The
RYHT
and
SAISD:
Becoming
Data
Wise
program
is
a
transformaIve
methodology
designed
to
revoluIonize
public
educaIon
by
fostering
a
culture
of
data-‐driven
decision-‐making
across
San
Antonio
Independent
School
District.
4. It’s
a
collaboraIve,
cyclical
process
designed
to
keep
instrucIon-‐related
decision-‐making
grounded
in
objecIve,
observable,
measurable
data
at
all
Imes.
5. Who
designed
it?
Based
on
research
by
and
in
collaboraIon
with
Dr.
Kathryn
Boude?
at
Harvard
University,
the
iniIaIve
was
created
in
partnership
between
RYHT
and
San
Antonio
ISD.
6. What’s
the
goal?
The
goal
of
the
iniIaIve
is
to
dramaIcally
increase
student
achievement
by
transforming
the
way
instrucIonal
changes
are
made
to
address
specific
challenges
in
our
schools.
8. …
and
yet
it’s
surprisingly
simple.
It
all
comes
down
to
how
we
look
at
things.
9. But
wait…
What
if
I
am
someone
who
thinks
schools
are
already
too
data-‐driven
as
it
is?
10. Then
we
should
probably
take
a
step
back
and
define
what
we
mean
by
“data”
11. A
common
misconcepIon
when
we
say
“data”
is
that
we
are
talking
about
standardized
test
scores.
While
these
are
an
important
source
of
data,
they
are
not
very
good
at
driving
day-‐to-‐day
instrucIon.
12. What
we
mean
by
data
is
anything
that
you
can
count,
hear,
or
see.
This
could
be
anything
from
exit
slips
from
a
lesson
to
the
number
of
students
with
their
heads
on
their
desks
during
class,
to
the
instances
of
bullying
in
a
given
Ime
frame.
13. Data
is
just
another
word
for
concrete
evidence.
And
the
first
thing
you
need
to
do
to
solve
a
problem
is
to
locate
it,
gather
evidence
on
it,
and
define
the
soluIon
based
on
where
you
are
now.
14. So
how
does
the
system
work?
A
team
of
educators
from
various
leadership
levels
is
assembled
and
sent
to
the
Data
Wise
program
at
Harvard,
where
they
are
trained
in
the
step-‐by-‐
step
applicaIon
of
the
process.
15. The
team
returns
to
school
having
acquired
four
new
skills
or
paradigms:
A
mindset
A
common
language
RYHT
and
SAISD:
Becoming
Data
Wise
The
ability
to
effect
a
A
new
way
to
sea
change
in
campus
collaborate
culture
16. A
mindset:
The
main
point
to
remember
is
that
the
RYHT
and
SAISD:
Becoming
Data
Wise
program
is
not
a
finite
project
but
an
ongoing
process,
a
way
of
thinking,
talking,
and
acIng
that
enriches
conversaIons
about
data.
17. A
common
language:
Because
it
is
a
collaboraIve
process
that
only
works
when
it
is
applied
in
a
systemic
fashion,
it
requires
that
everyone
speak
the
same
language.
18. A
new
way
to
collaborate:
These
shared
goals
and
methods
result
in
a
collecIve
evidence-‐
gathering
that
never
feels
personal,
value-‐laden
or
threatening,
but
rather
transparent
and
construcIve.
19. Teams
are
beTer
equipped
to
idenIfy
systemic
problems
than
individuals
because
they
are
able
to
observe
one
another
and
locate
systemic
issues
as
a
team.
20. When
you
keep
seeking
evidence
of
your
progress
and
acIng
on
it,
you
can’t
help
but
improve
your
performance.
22. A
sea
of
change
in
campus
culture.
When
used
consistently,
the
system
results
in
dramaIc
improvements
in
student
achievement
and
success!
23. In
2010,
RYHT
sent
a
team
of
educators
from
Poe
Middle
School
to
the
Data
Wise
Summer
InsItute.
They
were
trained
in
instrucIonal
pracIces,
data
analysis,
and
best
pracIces
in
how
to
examine
instrucIon.
24. Their
big
“A-‐HA!”
moment?
They
thought
they
knew
how
to
look
at
data,
but
realized
they
didn’t.
25. In
the
first
year
alone,
they
saw
big
results.
Over
a
one
year
period,
students
at
Poe
Middle
School
grew
from
a
passing
rate
of
72%
to
80%
in
math
on
the
TAKS.
Special
educaIon
students
grew
from
34%
to
71%
passing
in
math.
26. …
not
to
menIon:
Pre-‐Data
Wise
(2010)
Post-‐Data
Wise
(2011)
Poe
Middle
School:
Poe
Middle
School:
Percent
Commended
Performance
Percent
Met
Standard
in
Math
on
in
Math
on
TAKS,
2010
vs.
2011
TAKS,
2010
vs.
2011
18%
17%
17%
90%
79%
80%
81%
16%
15%
80%
75%
14%
14%
13%
70%
66%
65%
12%
11%
60%
10%
50%
8%
40%
30%
6%
20%
4%
10%
2%
0%
0%
Grade
6
Math
Percent
Grade
7
Math
Percent
Grade
8
Math
Percent
Grade
6
Math
Percent
Grade
7
Math
Percent
Grade
8
Math
Percent
Met
Standard
Met
Standard
Met
Standard
Commended
Commended
Commended
27. For
Principal
Maria
Yesenia
Cordova,
the
experience
at
the
Data
Wise
Summer
InsItute
was
transformaIonal:
“I
went
from
manager
to
instrucIonal
leader
and
I
learned
what
good
teaching
looks
like.”