What is the Analysis Module?
Welcome to the guide to the Analysis Module, a powerful tool for creating and conducting analysis within the DEEP platform.
Concept
The foundational idea behind this module is to treat each pillar of your framework as an analysis block, containing sub-pillars. For example, the 'Context' pillar is an analysis block called 'Context,' encompassing sub-pillars such as political, economical, socio-cultural, and more. This modular structure applies to all pillars within your framework, enabling a comprehensive and multi-dimensional analysis.
Creating and updating your analysis
With the Analysis Module, you have the flexibility to create as many analyses as needed or update an existing analysis. You can start a new analysis from scratch or clone an existing one, updating it with new information. This flexibility ensures that your analysis remains relevant and adapts to evolving data and project requirements.
Analysis Module elements
The Analysis Module is composed of three significant elements:
- The Analysis Canvas: Here, you create, conduct, and view the results of your analysis. It includes analytical statements, information gaps, and entries shown once the analysis is complete. Team leaders can review and edit the analysis, adding insights at the pillar level.
- The Analysis Engine: This component is crucial for organizing entries into stories, aiding in the effective presentation of your analysis. It helps in clustering related data points, making the narrative more coherent.
- The Story Analysis Module: Dive deep into each story using Natural Language Processing (NLP) and graphical tools. In this module, you can craft detailed analytical statements and pinpoint information gaps, adding depth and context to your analysis.
How to analyze data in DEEP?
Creating a new analysis
To create a new analysis, go to the top bar and click on 'Analysis.' This action takes you to a dashboard with consolidated information about your project and the analyses performed. Here, you can select your project of interest from a dropdown selector and then click on the '+ Setup New Analysis' button to begin.
Setting up your analysis
Upon initiating a new analysis, a dialog box appears, prompting you to fill out essential information:
- Assign a title and a Team Lead.
- Define start and end dates for your analysis.
- Assign titles and assignees for each Pillar Analysis.
- Select the pillars to include in your analysis, ensuring that your entries are tagged under these pillars to appear in the analysis engine.
- Optionally, add additional pillar analyses with their respective titles, assignees, and associated pillars.
- After filling out this information, click 'Create' to set up your analysis.
Managing your analysis
Once your analysis is created, you have various management options: Edit, clone, export, or delete your analysis block. To add new pillars or make other modifications, click on the 'Edit Analysis' button.
The analysis engine
In the Analysis Engine, you'll see key metrics regarding your analyses, providing a quick overview of your work. Access the engine by clicking on the pillar analysis at the bottom.
Analyzing pillars
Select a pillar and click on 'Analyze' to open the analysis engine window.
Left panel
The left panel displays entries categorized under the pillar you're analyzing, showing only entries within the timeframe of your analysis.
Entry filters
Filter entries by Created Date, Source Title, or Publisher. An 'Auto Cluster' button appears for more than 25 entries, using NLP to cluster entries automatically.
Entry cards
Each entry is represented by a card, showing key information and allowing actions such as editing or discarding. You can view and edit the entry, or flip the card for tagging details.
Right panel
Create stories in the right panel by adding analytical statements and information gaps. Add an analytical statement and drag and drop entries to build your story. Up to 100 entries can be added per story.
Story analysis module
Access the Story Analysis Module by clicking on the graph icon. It offers tools for deeper analysis using NLP and visual graphs.
Tools and insights
The module provides various tools such as:
- Tools for NLP analysis and insights.
- A map for geographical visualization.
- N-grams to identify frequent word combinations.
- A context tool for word-specific sentence analysis.
- An automatic summary generator.
These tools are designed to deepen your understanding of the content and assist in crafting detailed analytical statements.
Generating the analysis and formatting
Generate your analysis in the Story Analysis Module's middle panel. Copy selected entries into the right panel by clicking on ‘Generate analysis’, where each entry is referenced with its original link, source, and date.
Customize your analysis using formatting options like Bold or Italics. This customization helps emphasize key points and structure your analysis for clarity.
Information gaps and analytical statements
Address critical aspects of your analysis by identifying information gaps and crafting analytical statements. While you focus on drafting these two pieces of text, DEEP will keep record of the sources used to reach your conclusions. You can switch views of the citation method and edit the sources within your analysis. Remember that information gaps, analytical statements and the sources in your right panel will later on be incorporated into your report.
Saving and closing
Once your analysis, information gaps, and analytical statements are complete, save your story. This action locks in your progress and ensures that your work is stored safely.
Adding new stories
Update your analysis with new information by adding new stories, keeping your analysis current and relevant.
Finalizing your pillar analysis
Finalize each pillar analysis by expanding the top part of the engine. Write down your main statement and identify any remaining information gaps. Save and close to return to the analysis canvas.
Ongoing editing and additions
Edit your analysis as needed, even after saving. This flexibility allows for refinements over time. New entries added to your project that fall under your pillar analyses will automatically reflect in your existing analyses, ensuring accuracy and relevance.