This was an SAP webcast from late last year. Related to this webcast, please join us this Thursday January 17 BI: What's New: Smart Assist Portfolio in SAP Analytics Cloud
Source: SAP
Advanced analytics is becoming more critical
Companies have a huge amount of data
As data increases, the types of data changes in nature, and adding to the problem
There is an analytical skill gap; who can make sense of massive amount of data?
Work with executives, make business decisions, deep mathematics, etc.
Executive expectation is increasing; more outcomes and ROI from data
Data science term is difficult to comprehend as part of day to day lives; try to learn difficult tools
Difficult to know where to begin and executive successfully
Effort to "skill up"
Source: SAP
Not everyone needs to be a data scientists
Huge number of business analysts, familiar with outcomes, what organizations need
Business user is interested in outcomes
Analytics Cloud is focused on the right hand side of the slide; provide business users with information and what they need to be successful and enable the business analyst
Augmented analysts - make machine learning simple for business users - three ways to do that:
Source: SAP
Make machine learning part of the day to day experience for the business analyst
Search to insight is an example; have a search box in Analytics Cloud to find information quickly; natural to any user who has used Google
Help find information quickly - automated business exploration - use smart insights light bulb that provides suggestions and outcome of that chart
Smart Discovery - enable you to point a business question at a data set - e.g. express interested in order value, and it will build descriptive reports, key influencers, simulations and outlier data points.
Help business user obtain a better understanding of data they already have
Predictions allow you to generate new data; not just a prediction but a probability of something happening
SAP Analytics Cloud integrates into the stories
"A journey" for business analyst, starting with search to insight, and move to automated data discovery and down the road use the Smart Predict
Discovery can happen on your current data set. For predictions need a set of historical data where you have a known answer
Source: SAP
Provide conversational interfaces; one of the goals for search to insight
It will autocomplete for you, resolve ambiguity; provides quick answers
Provides a "natural way" to interact with the application
Aid adoption and speed of analysis
Today search to insight is adding charts; future is to plan predictions (big plans)
Source: SAP
Above is an example of a Smart Discovery, what influences sales opportunity - you can see key drivers in a single click, see relationships of data
Build story quickly to understand data; find insights that are a "surprise to you"
"Takes the bias" out of the equation
More confidence in results
Source: SAP
Build predictions based on data you know
Designed for business analyst
Designed for language for the business analyst
Source: SAP
Smart assist is available everywhere in SAC
Smart Predict is available to those who have SAC on Cloud Foundry
If you don't see Smart Predict, contact your SAP customer success contact
All new customers have access to Smart Predict
Smart Predict is part of the BI planning licenses
Source: SAP
Steps to Smart Predict; example is campaign process
Source: SAP
The value proposition for Smart Predict is shown above
I tried Smart Predict myself and recording this video:
Hope to see you Thursday January 17 BI: What's New: Smart Assist Portfolio in SAP Analytics Cloud
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