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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 13 BI: What's New: Data Wrangling and Modeling in SAP Analytics Cloud

February 14 BI: Empowering Business Users with Analytics On The Go

February 19 BI: SAP Analytics Cloud for BW Customers

February 26 BI: Enabling SAP Analytics Cloud for SAP BusinessObjects BI customers

Smart Discovery

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

Source: SAP

Is this useful? See factors influencing information

See interesting patterns, anomalies

This is a new iteration of Smart Discovery; automatically creates story

Source: SAP

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

Source: SAP

How it works

If select a measure, a regression model is built

If a dimension is selected, classification model

Source: SAP

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:

Source: SAP

Source: SAP

Source: SAP

Source: SAP

Source: SAP

Smart Insights

Smart Discovery selects a variable, notices a pattern

Smart Insights - pick a data point, variance in data, and understand what is behind that data

Source: SAP

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

Source: SAP

"Understand why, faster"

Automatically describe drivers behind a data point

Sometimes it will be obvious

Source: SAP

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

Source: SAP

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?
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