WEBVTT

00:00:00.000 --> 00:00:01.620 align:middle line:90%


00:00:01.620 --> 00:00:03.300 align:middle line:84%
BILL ROY: We serve
the everyday user

00:00:03.300 --> 00:00:06.660 align:middle line:84%
who wants to just capture
those special moments on camera

00:00:06.660 --> 00:00:10.260 align:middle line:84%
all the way through to
scientific discoveries.

00:00:10.260 --> 00:00:12.840 align:middle line:84%
Western Digital designs,
manufactures, and sells

00:00:12.840 --> 00:00:14.620 align:middle line:90%
data storage solutions.

00:00:14.620 --> 00:00:17.880 align:middle line:84%
Bringing three fortune
500-size companies together,

00:00:17.880 --> 00:00:20.010 align:middle line:84%
we needed a next
generation solution.

00:00:20.010 --> 00:00:21.100 align:middle line:90%
We did an inventory.

00:00:21.100 --> 00:00:23.490 align:middle line:84%
And there were 2,000
plus applications

00:00:23.490 --> 00:00:25.110 align:middle line:90%
across these three companies.

00:00:25.110 --> 00:00:27.195 align:middle line:90%
We wanted to streamline process.

00:00:27.195 --> 00:00:29.070 align:middle line:84%
We wanted something
end-to-end from the point

00:00:29.070 --> 00:00:30.900 align:middle line:84%
you capture the data
to the point you

00:00:30.900 --> 00:00:32.130 align:middle line:90%
want to report out the data.

00:00:32.130 --> 00:00:35.220 align:middle line:84%
Being able to leverage
out-of-the-box was another key

00:00:35.220 --> 00:00:36.480 align:middle line:90%
factor for us.

00:00:36.480 --> 00:00:40.980 align:middle line:84%
Once we chose Oracle ERP
Cloud, then the Oracle Suite

00:00:40.980 --> 00:00:42.510 align:middle line:90%
made sense as well.

00:00:42.510 --> 00:00:44.940 align:middle line:84%
Initially, when we
developed our solution,

00:00:44.940 --> 00:00:47.160 align:middle line:84%
there was an 8 and
1/2 hour refresh time

00:00:47.160 --> 00:00:48.783 align:middle line:90%
for our data warehouse.

00:00:48.783 --> 00:00:50.700 align:middle line:84%
And we were able to get
that refresh time down

00:00:50.700 --> 00:00:51.720 align:middle line:90%
to 20 minutes.

00:00:51.720 --> 00:00:54.610 align:middle line:84%
So we have operational
reporting that's real time.

00:00:54.610 --> 00:00:56.650 align:middle line:84%
And then we have
analytical reporting,

00:00:56.650 --> 00:00:59.820 align:middle line:84%
which is available within 20
minutes, which is unheard of.

00:00:59.820 --> 00:01:02.970 align:middle line:84%
No one can refresh their
company data warehouse

00:01:02.970 --> 00:01:05.519 align:middle line:84%
for a company this
size in 20 minutes.

00:01:05.519 --> 00:01:06.540 align:middle line:90%
And we can do it.

00:01:06.540 --> 00:01:10.470 align:middle line:84%
We were able to cut down from
15,000 plus costs centers

00:01:10.470 --> 00:01:12.870 align:middle line:84%
down to around
3,000 cost centers.

00:01:12.870 --> 00:01:14.370 align:middle line:84%
So if we can use
machine learning

00:01:14.370 --> 00:01:17.400 align:middle line:84%
and AI to be able to take
all that work out for people,

00:01:17.400 --> 00:01:19.810 align:middle line:84%
then they can actually
be financial analysts

00:01:19.810 --> 00:01:24.150 align:middle line:84%
to do financial forecasts
instead of data consolidators.

00:01:24.150 --> 00:01:25.530 align:middle line:90%
We love innovation.

00:01:25.530 --> 00:01:26.790 align:middle line:90%
We love new technology.

00:01:26.790 --> 00:01:27.750 align:middle line:90%
We love the cloud.

00:01:27.750 --> 00:01:31.760 align:middle line:84%
And it just felt natural for
us to move forward with Oracle.

00:01:31.760 --> 00:01:34.848 align:middle line:90%