Introducing AI, Machine Learning, and Augmented Analytics

Using SAP Analytics Cloud Smart Features

Preparing Data for Predictive Analysis in SAP Analytics Cloud Smart Predict

Working with Classification Models

Working with Regression Models

Working with Time Series Models

Working with SAP Analytics Cloud Compass Simulations

Knowledge quiz

It's time to put what you've learned to the test, get 2 right to pass this unit.

How does Smart Insights help a business user understand the underlying drivers of that data point?

There are two correct answers.

Smart Insights aggregates all related data points into a single, easy-to-read dashboard, allowing you to quickly identify trends and patterns that may be influencing the specific data point in question.

Smart Insights examines each dimension in your data and detects members that have a significant influence on the data point, allowing you to understand the reasons behind a data point or variance and see which factors contribute to the value.

Smart Insights provides a natural language explanation of the data point, translating complex statistical information into plain English, allowing you to readily grasp the meaning and context of the data.

Smart Insights highlights the most recent changes to the data point and compares it to historical performance, allowing you to see how the data point has evolved over time and identify potential causes for any fluctuations.

Which of the following are benefits of using Smart Features in SAP Analytics Cloud?

There are three correct answers.

You can easily access machine learning capabilities in a Python data science platform.

You can easily use NLP capabilities to enter free form text to automatically get answers about your data.

You can understand important contributing factors and add those to a story.

You can quickly understand the reasons behind an interesting data point or variance.