DOCSEARCHbyAlgolia
Submit Docs

Frávega Docs

website·Indexed 30 days ago

https://fravedocusdev.netlify.app

Documentation platform for Frávega, featuring advanced analytics on customer behavior, data funnel web implementation, and credit customer segmentation. It includes technical guides on Salesforce email cleaning, omnichannel vs. virtual customer analysis, and recurrence analysis by payment channel.

Tokens
10.9K
Snippets
43
Records
81
Agent score
75%

What's inside Frávega Docs

  1. Overview of Credit Customer Segmentation Project

    The Credit Customer Segmentation project aims to group credit customers based on credit history, personal information, non-credit purchase details, payment methods, and buying patterns. The process involves extracting and cleaning data from the EDW database and outputting a final table into the EBA database where each row represents a unique customer and each column represents a specific variable.

  2. Overview of Frávega Docs features

    Frávega Docs is a document storage platform providing the following capabilities:

    • Secure Storage: Protected servers ensuring data confidentiality and integrity.
    • Universal Access: Accessible via any internet-connected device (desktop, laptop, tablet, mobile).
    • Real-time Collaboration: Simultaneous document editing and commenting.
    • Organization: Custom folders and tagging for efficient search.
    • Multi-format Support: Compatibility with text documents, spreadsheets, presentations, and images.
    • Change Tracking: Detailed version history allowing users to track modifications and revert to previous versions.

  3. Customize Docusaurus site layout using React

    Docusaurus is powered by React, allowing developers to extend or customize the website's design. You can create custom components or layouts while maintaining the existing site header and footer.

  4. Pre-process web traffic data for the Data Funnel

    To ensure data accuracy for the behavioral funnel, the following pre-processing steps are applied to the extracted dataframes:

    1. Bot Filtering:
      • Remove observations where device=Spider.
      • Remove sessions exceeding the 0.999 percentile of action counts to eliminate non-human behavior.
    2. Temporal Normalization: Convert UTC0 timestamps to GMT-3 (Argentina time).
    3. Data Cleaning:
      • Deduplication: Remove duplicate PageView events based on the time interval between events.
      • Session Reset: If the gap between events is $\ge 30$ minutes, the subsequent events are treated as a new session.
    4. URL Parsing: referral and base_url are parsed into categorized groups (e.g., Home, Listing, Product, Checkout, Google, Facebook) to simplify analysis.

  5. Create and organize blog posts in Docusaurus

    Docusaurus blogging features are powered by the @docusaurus/plugin-content-blog plugin. To create blog posts, add Markdown files or folders to the blog directory. Post dates are automatically extracted from filenames using the format YYYY-MM-DD-title.md (e.g., 2019-05-30-welcome.md) or from an index.md file within a dated folder (e.g., 2019-05-30-welcome/index.md). Using a folder for each post is recommended for co-locating post-specific images.

  6. Get started with Frávega Docs

    To begin using Frávega Docs and contributing to the platform, follow these steps:

    1. Request GitHub Access: Request access to the GitHub repository if you intend to collaborate on development or contribute improvements.
    2. Complete the Tutorial: Follow the step-by-step tutorial to learn the platform's functions.
    3. Upload Files: Upload documents to the platform to start organizing and sharing.

  7. Add documentation content to a Docusaurus site

    Docusaurus is designed to let developers focus on content. To add documentation to the site, place your documentation files within the docs directory.
    # Place your markdown files in this directory
/docs

  8. Create and organize blog posts in Docusaurus

    Docusaurus blogging features are powered by the @docusaurus/plugin-content-blog plugin. To create blog posts, add Markdown files or folders to the blog directory. To co-locate images with a post, use a blog post folder containing an index.md file. The plugin can automatically extract the post date from filenames using the format YYYY-MM-DD-title.md (e.g., 2019-05-30-welcome.md).
    # Example filename for date extraction
2019-05-30-welcome.md

  10. Create and organize blog posts in Docusaurus

    Docusaurus blogging features are powered by the @docusaurus/plugin-content-blog plugin. To create blog posts, add Markdown files or folders to the blog directory.

    Post dates are automatically extracted from filenames using the format YYYY-MM-DD-title.md (e.g., 2019-05-30-welcome.md). Alternatively, you can use a folder with an index.md file (e.g., 2019-05-30-welcome/index.md), which is useful for co-locating images with the post content. Regular authors can be managed in the authors.yml file.

  11. Automate Salesforce Marketing Cloud contact deletion

    To automate the cleaning of the contact base, a process is implemented using a specific API named 'API' (configured for contact deletion), which can be verified in Setup > Apps > Installed Packages. The general workflow consists of generating a Data Extension (DE) via a query and then calling the Delete Contacts API. If the generated DE is empty, the process stops automatically. Automations are named using the pattern Cleaning-DA-Caso_bajo_analisis.

  12. Create interactive blog posts using MDX in Docusaurus

    Docusaurus blog posts support MDX, allowing you to embed React components directly within your markdown content to create interactive experiences.
    <button onClick={() => alert('button clicked!')}>
  Click me!
</button>