General
- Introduction to Ipiphany Cognitive Analytics
Introduction to the purpose and benefits of Ipiphany Cognitive Analytics, and how it uses cognitive computing to extract insights from structured and unstructured data.
- The Home Screen
Overview of the Ipiphany home screen and how to navigate to Datasets and Discoveries.
- Importing your data
Step-by-step guide to importing your data into Ipiphany by creating a Dataset, including uploading your data file, reviewing field types, choosing domain knowledge and processing the dataset.
- 'I want to improve' control in Ipiphany
An overview of how to set the metric you want to improve in Ipiphany.
- 'When analyzing' control in Ipiphany
An overview of how to use the 'When analyzing' control to apply filters in Ipiphany.
- About Cognitive Analytics
An overview of cognitive analytics and its role in helping organizations make smarter decisions.
- Concepts vs Themes in Ipiphany
An overview of the differences between Concepts and Themes when analyzing verbatim text in Ipiphany.
- Create a Dataset
A step-by-step guide to creating a dataset in Ipiphany.
- Creating a Discovery
An overview of how to create a Discovery in Ipiphany.
- Disclosure: LLM Generated Responses in AI Explain
Important information about the accuracy and reliability of AI Explain results.
- Displaying Pattern Statistics in Ipiphany
An overview of the different statistics used to describe patterns in Ipiphany.
- Example Verbatim in Ipiphany
An overview of how Ipiphany displays example verbatim text in a Discovery Analysis.
- How can I get more than 100 patterns returned in 'Discover'?
An explanation of the limits on the number of patterns returned in the Discover function in Ipiphany.
- How Ipiphany Extracts Meaning
An overview of how Ipiphany extracts meaning from text using natural language processing and semantic analysis.
- How is Impact calculated in Ipiphany?
An explanation of how impact is calculated in Ipiphany and how it affects data analysis.
- I am expecting to see a pattern in Discover with high impact but it isn’t returned – why is that?
An explanation of why a pattern with high impact may not be returned in Discover.
- Impact, Difference, Relevance, Lift in Ipiphany
An overview of the different comparison statistics available in Ipiphany.
- Metric Functions in Ipiphany
An overview of the different metric functions available in Ipiphany.
- My Analyses Tool
A guide to using the My Analyses tool in Ipiphany.
- Navigating a Discovery in Ipiphany
An overview of how to navigate and interpret the results of a Discovery Analysis in Ipiphany.
- Navigating Around Ipiphany
A guide to navigating the Ipiphany user interface and understanding its main features.
- Performing Your First Analysis
A step-by-step guide to performing your first analysis in Ipiphany.
- Primary Analysis Controls
A guide to the primary analysis controls in Ipiphany.
- Search Terms in Ipiphany
An overview of how to use search terms to filter data in Ipiphany.
- Segment in Ipiphany
An overview of how to segment a dataset by a structured field in Ipiphany.
- Selecting Drivers in Ipiphany
An overview of how to select and manage drivers in Ipiphany for Discovery Analysis.
- Selecting Patterns within a Discovery in Ipiphany
An overview of how to select and review patterns within a Discovery Analysis in Ipiphany.
- Signing Up to a Plan
A step-by-step guide to signing up for a plan in Ipiphany.
- Snapshot in Ipiphany
An overview of how to view Concepts and Themes in a Snapshot within Ipiphany.
- Sorting, Filtering and Exporting Pattern Summaries in Ipiphany
An overview of how to sort, filter, and export pattern summaries in an Ipiphany Discovery Analysis.
- The Advantage of Analyzing Both Structured and Unstructured Data
An overview of the benefits of analyzing both structured and unstructured data to gain deeper insights.
- The Ipiphany Cognitive Analytics Process
An overview of the Ipiphany cognitive analytics process, from data import to pattern identification and linking.
- The Typical Ipiphany Insight Discovery Process
An overview of the typical process for discovering insights using Ipiphany Cognitive Analytics.
- Viewing a Discovery
A step-by-step guide to viewing a Discovery in Ipiphany.
- What does Difference mean in Ipiphany?
An explanation of what difference means in Ipiphany and how it affects data analysis.
- What does Impact Mean in Ipiphany?
An explanation of what impact means in Ipiphany and how it affects data analysis.
- What does Relevance mean in Ipiphany?
An explanation of what relevance means in Ipiphany and how it affects data analysis.
- What is a Discovery?
Explanation of what a Discovery is in Ipiphany and how it analyzes data to find impactful combinations of drivers.
- What is Special About Ipiphany Cognitive Analytics?
An overview of what makes Ipiphany Cognitive Analytics unique and how it helps organizations make better decisions.
- Why are the individual Themes different under Discover and Snapshot?
An explanation of why the individual themes differ between Discover and Snapshot in Ipiphany.
- Why does ‘Discover’ sometimes return no Patterns?
An explanation of why the Discover function in Ipiphany may sometimes return no patterns.