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. Extentia® is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, our ground-breaking solutions are in the space of mobile, cloud, and design. Our team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, we strive to accomplish and surpass their customers’ business goals. Our inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience. Expand your digital horizons with us. We will help you transform your business and surpass your goals. Write to us at inquiries@extentia.com

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SOLVING BUSINESS PROBLEMS
WITH MACHINE LEARNING IN
SAP ANALYTICS CLOUD

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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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Augmented Analytics

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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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Smart Predict

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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.