This was an SAP webcast from last week. I won’t repeat the slides from previous blogs. The webcast covered the features of Smart Discovery and Smart Insights.
Don’t forget to join us for these upcoming related webcasts:
February 19 BI: SAP Analytics Cloud for BW Customers
Smart Discovery helps “how we find out why”, themes in data and make better decisions
Augmented analytics is the analytics of future -take what do, more productivity, get decisions faster
Automate processes, using ML and AI, creativity, to move business forward
Is this useful? See factors influencing information
See interesting patterns, anomalies
This is a new iteration of Smart Discovery; automatically creates story
4 pages of information
Overview gives broad information of data
Key influencer page tells you what other variables influence data
Unexpected values – data that do not follow the pattern; show anomalies
Simulation – see what would happen if you add a new row of data
How it works
If select a measure, a regression model is built
If a dimension is selected, classification model
Builds model; SAP has a unique automated machine learning technology, successfully tuning models
Can build model without input of a data scientist
Allows business users to create predictive models to improve decision making
The slides below were covered in the demo, so no notes:
Smart Discovery selects a variable, notices a pattern
Smart Insights – pick a data point, variance in data, and understand what is behind that data
Smart insights helps find quickly what is behind a particular item
It can add contexts to your visualization to help understand what is going on
“Understand why, faster”
Automatically describe drivers behind a data point
Sometimes it will be obvious
You can see what influences a data point, the drivers
You can do the same with a variance and run smart insights
You can embed smart insights in a chart
What Smart Insights tells you when you select a data point
Q: Can we export the smart insights to an Excel or PDF?
A: Not at the moment
Q: Can you compare on-premise Predictive with Predictive in SAC?
A: Predictive Analytics (on-premise) was a tool for data scientists; the user is a data scientist
Smart features in SAC are aimed at the SAP Analytics Cloud user, the business user, the business analyst
Underlying technology in automated on-premise and SAC are the same but targeted personas are different
Q: Supported in other languages?
A: Yes, works in 16 supported SAC languages
Q: Are these functions available for live connections?
A: Available for imported data, working on live connections
Search to Insight supports Live HANA connection
Q: Will saving simulations be on the roadmap?
A: not at the moment, this is an exploratory tool; look at the Smart Predict
Q: What kind of license is required?
A: Smart features are part of the standard BI license
Q: What is insight quality based on?
A: Calculated on how well does the data explain target value, and other is if supply other data, how well is it distributed, how performs against random and perfect model
Q: Can you select multiple measures for Smart Discovery?
A: No, looking at adding more
Q: Smart discovery data limitation?
A: Supports up to 1 million cells
What do you think?