With this Q1 release of SAP Analytics Cloud, we're offering you the ability to
sift for gold, to reveal hidden gems in your data automatically and more often,
to allow you to enrich your understanding of what's really going on
in your business. And it's not just about the numbers
we're actually tapping into the sentiments of your customers and we're
making the most of your time too by making things flow that bit better. Let's take a look.
I get insights in my everyday life from Netflix about what to
watch next or from Spotify about what I'm listening
to and we expect those kind of technologies in our everyday business
lives too, don't we? So, tell us, how are we making this available to our users in SAP
Analytics Cloud? Well, this is where Smart Insights comes in.
So with this feature, we're using machine learning to automatically provide insights to help
our customers understand their data but in a really simple and intuitive way. So,
you don't need a background in data science to get your hands on these
insights. Right, and the user doesn't have to go looking for them. These are
automatically generated in the background and all the user has to do is simply
right-click and they get the Smart Insights panel. They can start to drill
through the insights and find the ones that are interesting for you or your
business and once we find something that's of particular interest we can
take that chart and drop it into our story. So, we're using a combination of
natural language generation and visualizations to help the user quickly
understand a data point and aid in their decision making.
Okay, so we've had Smart Insights for a while. So what's so
different now? Smart Insights is now more available in our stories since we
added support for calculated measures and for account hierarchies which is
very important for our Planning customers but you can also now launch
them from tables and grids alongside the charts that we've been supporting for
some time. We have a new Insight that intelligently detects significant changes
in your data point over time so not only are you getting to understand what
has changed, you're seeing how it has changed over time. Excellent.
Staying with all things insightful, users expect to be able to use normal everyday
language to ask their data a question. So that same ease of use we had with natural
language processing, where you could ask business questions of your data, is now
available on the go. We've also added a number of mobile-specific features. So
for example if you find a really interesting chart, and you want to share
that, you can share that exactly as you would any other content on a mobile
device but not only that you can annotate that before you share it.
I can imagine for CFO's they'd enjoy the ability to able to add a note or
highlight a certain KPI on the go and then send it back to the team. But what
happens when I'm on a plane, no internet connection, phone's on airplane mode and
I'm sitting beside my boss and she asks, 'So how are the sales last quarter?' Even
in this scenario when you're offline your last ten searches are available to
you directly on your device. Lifesaver. Absolutely.
I get great satisfaction from multitasking like those days I work from home, working away on the laptop, dinner
in the slow cooker, washing machines going full-tilt
and I like to think if you're working in Planning you can get that same
multitasking feeling when you're doing your end-of-cycle Planning operations.
It's actually a really nice way of thinking about it and with data actions
we enable users to bundle a series of calculations or data operations together.
So say for example I'm running a forecast, then I'm allocating expenses, then I want
to archive different versions. With structured allocations I can now
automate end-of-cycle operations rather than doing it in a piecemeal approach. And
staying with data actions
Nobody likes the frustration of being blocked. You know when you just need to
get on with things but something is holding you up. And
planners have known this in the past haven't they with some long-running yet
essential processes? Yeah, and it's been a real pain point with data actions
because they execute while the users waiting, so they're waiting for the screen,
just dying to get on with our next task. With asynchronous execution we can run
these data actions in the background. Leaving you to get on with your work, unblocked. Exactly.
I've been all sorts in this video, Orla, I haven't I? I was a tele-
worker... gold digger!... planner and now I'm about to be an online
retailer. So... I'm an online retailer
and I'm analyzing the behavior of my customers: what they've bought from me, how
much they've spent, have they made any returns. And we really need to understand
how our customers feel if we really want to innovate. And in experience
management, sentiment-driven data is a real differentiator when trying to
understand our customers behavior. So with the new Qualtrics Connector we're
combining experience data with operational data to get the full picture
of our customer. So I send them a short survey asking them how they feel about
their recent transactions and we can quickly pinpoint which dissatisfied
responses belong to which order. And take action. Exactly. Nice talking with you,
Orla. See you for Q2? Looking forward to it. Our top five SAP Analytics Cloud features
for Q1 include... Smart Insights Enhancements, Search to Insight on Mobile,
two new data actions in Planning, Allocation as a data action type and
Asynchronous Execution, and the Qualtrics Connector. Trust you found some
interesting nuggets in there. Of course, we released many other features, too. Check
them out in our learning section on SAP Analytics dot Cloud. 79 00:05:41,470 --> 00:00:00,000