How do you make the most out of technology?
Apply machine learning to investment strategy, business strategy
"What moves are you making to allocate your resources, across your business"
Use machine learning to apply and solve business problems
Goal is to optimize business value
We (SAP) have a vision of becoming the AlphaGo of business" says Ivo Bauermann #BIHANA2018
Companies will be worth more that are more agile
Key to run your business, lower cost
More important to have access to and share resources
With IoT, collaborate with machines, expanding resources
How do you turn data into meaningful information to run and grow business to dynamically reallocate resources - "unlock HANA"
Using HANA and analytics to run your business
Unlock with HANA
With Analytics Cloud, make data available to end users
Everyone using Analytics Cloud uses HANA
SAP Analytics Cloud combines planning, BI and predictive into one tool; this is unique as it is one single solution
Comparing Netflix (SAP Analytics) with other BI tools
With a plug in, you can real time stream data to cloud
No data replication
Designers have made it into a simple, intuitive application for business users
JAWS movie - need a bigger boat
Fast forward 3 years, over 71K users today
Gerrit Kazmaier, triathlon comparison, get out of the water and on the bike
"Optimized ropes", like the horse/car paradigm change is on us
Free our minds; when look at SAP Analytics Cloud, you may think of it as a "new typewriter"
SAP Analytics Cloud changed the core
This was the picture Gerrit saw three years ago when he was assigned to rethink the analytics strategy
Beautiful data museum; if you accumulate the reports, it will range in millions
Museum is not engaging; pictures are masterpieces as you understand the data, semantics
Everyone needs access to information - can't live in museum any longer
This was an inflection point
If everyone wants to draw pictures; it gives tools to everyone; beautiful visualizations but at the end the value and insecurity is staggering as no one knows what is correct. What about undetected data errors?
Get to answer really fast that is really wrong
Instead of a data museum or handing out "coloring kits" the above is the vision
Data is not the problem. How many people ask you for democratized data? Zero. It is not about data.
Data is messy, complex and error prone, it will always require a deep understanding to make sense
What people really care about is information; the semantics, the integrity - definitions of hierarchies, currencies, access rights, budgets, forecasts, KPI
SAP has tools that do nothing but semantically enrich raw data, like BW, HANA
The problem is everything is in there - the semantics, query engine, and tools are very sophisticated
Created a museum; decoupled professional plane from the business
What SAP did was extending the platforms
SAP Analytics Cloud is based on these platforms, connecting to live data from these systems, understanding the metadata is - universes, BW cubes, and exposes what is there in a unified experience based directly on source systems - not in the cloud, but on the browser
How does Cloud connect to on-premise - no debate...once application is loaded, it connects to source system without connection to the cloud.
Concept of agile semantics - connecting to the platform creates a new experience with this semantics and information worked with at the end - open for extension, closed for modification
Blending, adding calculations are all part of the experience
This is a layered model; a best practice - don't think of one database schema but in multiple layer - corporate semantics, then start building them. Don't copy or change the models, but extend them with more dimensions
You always want to know what the source is, where the number comes from, with full trust
It is not just BI but includes predictive and planning altogether
How can predictive be used in planning and BI?
Predictive may next be the data science museum
Problem of machine learning is not technology but deployment and putting in hands of people
Integrating with S/4HANA tightly
Big announcements at SAPPHIRENOW with financial planning in SAC with S4 - integrated experience
Same with SuccessFactors
Open to third party
Becomes contextual, right at the source, close the loop with decision making
What is the game changer? Build new types of analytical applications - this is the big transition
Today think of analytics as resource and not intelligence
New Smart experience with natural language - sometimes you the human is driving, sometimes the machine is
New search to insight -- "show me operating profit"
Machine learning speaks your language
Add "smart insights" - appears like natural language
The "alpha go" of today
Out of the water and on the bike - SAC works on all platforms - BW, BI, BPC, HANA
1500 customers and 71K users
Sneak preview - natural language is in preview/BETA; release in next couple of week
Analytics Cloud is not a static resource - will reorganize - it will be an active platform - reaching out to you, changing content to you
Don’t miss our upcoming webcast this week BI: SAP Analytics Cloud for Beginners
Also June 4th please consider joining the ASUG BI Community for Jump Start ASUG Annual Conference 2018 SAPPHIRENOW with SAP Analytics Cloud/ Lumira Designer Session