Getting Started with Augmented Analytics in Sisense
This course will teach you how Sisense augmented analytics features - the analytics that leverages artificial intelligence - can help you extract relevant and actionable insights from your data.
What you'll learn
Artificial Intelligence has helped solve several problems and applied to the field of business intelligence. The term Augmented Analytics is often used to refer to BI tools and capabilities that leverage AI and ML.
In this course, Getting Started with Augmented Analytics in Sisense, you’ll learn about the various AI-based features in Sisense that play a role in extracting meaningful insights from your data. First, you’ll explore how AI plays a role in the business intelligence domain in general and specifically in data analysis. Next, you’ll discover the various options available in Sisense to apply AI for analysis. Finally, you’ll learn how to use some of the augmented analytics features in Sisense to enhance your widgets and dashboards. When you’re finished with this course, you’ll have the skills and knowledge of augmented analytics in Sisense needed to perform a thorough analysis of your business data and extract insights that are only made possible by the power of AI.
Table of contents
- Overview of Augmented Analytics in Sisense 2m
- Demo: Applying Forecasting in Sisense Widgets 8m
- Demo: Advanced Forecasting in Sisense Widgets 8m
- Demo: Analyzing Trend Line in Charts 8m
- Demo: Identifying Anomalies 3m
- Demo: Leveraging Explanations 4m
- Demo: Querying Data with Simply Ask (NLQ) 5m
- Course Summary and Related Content 1m