This presentation explores the machine learning capabilities of the SAP Analytics Cloud – delving deep into SAP Analytics Cloud's Augmented Analytics and Smart Predict applications.
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• Simplifies data analysis and predictive
planning for business users
• Enables business users to design and
build predictive models independently
without extensive technology know-
how
• Frees data scientists to focus on
building more complex machine
learning functionalities for
organizations
• Its machine learning capabilities and AI
enables users to discover insights and
simplify access to information
Why SAP Analytics Cloud
SAP Analytics Cloud
Augmented
Analytics
Smart
Predict
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• SAP Analytics Cloud's Augmented
Analytics comprises machine
learning-based applications that
help business users in data
analysis
• Smart Insights
• Search to Insight
• Smart Discovery
About Augmented Analytics
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• Provides business users with
critical insights on data using
machine learning algorithms
• Avails in-depth information to its
users, right up to the level of an
individual data point
• Example: It helps in uncovering
key insights such as sales volume
changes over time or market
seasonality for a retail business
Smart Insights
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• Helps in unearthing new and
unknown relationships in data
• Its ML algorithms help predict the
impact of decisions on business
functions by simulating scenarios
for different outcomes
• Organizations can determine
factors driving revenue growth or
factors affecting employee
productivity using Smart
Discovery
Smart Discovery
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• A natural language to query data-
based interface through which users
can ask business questions to the
application
• Users can ask queries to the
application, which provides a
visualized response on its
dashboard
• Example: Users can ask about sales
for a particular product line and a
variant, to which the application
provides graphs and charts of sales
Search to Insight
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• A forecasting application that
extends the capabilities of
Augmented Analytics with its
prediction abilities
• Works by training ML models using
75% of historical data and validating
it with the 25% validation subset
• Gives three scenarios for business
users to choose from
• Classification
• Regression
• Time Series
About Smart Predict
Source: https://blogs.sap.com/2020/09/16/say-hello-to-confident-
planning-with-sap-analytics-cloud/?update=updated
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• Enables predicting of binary
events – events that help to
indicate whether an event will
happen or not
• Example: It can predict whether a
customer will buy the product
based on its parameters such as
its price, package size, or sale
offer
Classification
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• Helps in predicting numerical
outcomes and determines the
factors that influence them
• Lets business users forecast
business value by considering its
context
• Example: Using a regression
model, companies can predict
employment length based on
specific factor and design policies
accordingly to reduce attrition
Regression
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• Derives scenarios from data
• Predicts future values and
uncovers trends through
visualization in graphs.
• Example: Business users can
forecast sales volumes based on
historical data by analyzing trends
and seasonality of demand
Time Series
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Advantages of SAP Analytics Cloud
• Provides a single-stop service for business users for prediction and planning
• Its real-time connection gives users access to live data anytime and anywhere
• Helps business users to work on predictive models and analytics applications
with ease
• Its machine learning-based applications expedites decision making by
accelerating the data analysis process
• Helps in avoiding bias-induced decision making by revealing essential insights
on data that are critical for decision making.
• Simplifies assessing scenarios and predicting business outcomes through its
augmented analytics capabilities
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Thank You!
Write to us at inquiries.extentia.com to learn more!
More about Extentia’s SAP offerings at https://www.extentia.com/sap-hana-
cloud-platform.