1. Getting Started
1.1. Introduction to Data Boutique
1.2 Account Setup
1.2.1 Benefits of Creating an Account on Data Boutique
1.2.2 Creating an Account
1.2.3 Optional Information
1.3 Navigating the Platform
2. Buying Data
2.1 Finding Data
2.1.1 Understanding Dataset Content on Data Boutique
2.1.2 Understanding Price of Datasets on Data Boutique
2.1.3 Free Samples on Data Boutique
2.1.4 Data Acquisition Policies
2.2 Buying Data
2.2.1 Single File Order on Data Boutique
2.2.2 Recurrent Data Refreshes (Scheduled Updates)
2.2.3 Historical Data on Data Boutique
2.2.4 Payment Methods on Data Boutique
2.2.5 Bulk Discounts and Bundling Options on Data Boutique
2.2.6 Quality Assurance and Refund Policy
2.3 Accessing Data
2.3.1 Getting data from AWS S3
2.3.1.1 API Access: Setting Up and Using the AWS S3 API
2.3.1.2 How to Read CSV Files from Data Boutique
2.3.1.3 Automating the Listing of New Files Delivered to Your AWS S3 Bucket in Data Boutique
2.3.1.4 Copying Locally and Managing Local Storage of Data from AWS S3 on Data Boutique
2.3.1.5 Copying Data from Data Boutique's AWS S3 to Google Cloud Storage
2.3.1.6 Copying Data from Data Boutique's AWS S3 to Azure Blob Storage
2.3.1.7 Accessing and Querying Data from Data Boutique's AWS S3 in Snowflake
2.3.1.8 Accessing and Querying Data from Data Boutique’s AWS S3 in Databricks
2.3.2 The Databoutique GPT
2.4 Importing Data on common BI tools
3. Selling Data
3.1 Data Sellers
3.1.1 Who Can Become a Data Seller on Data Boutique?
3.1.2 Registration and Seller Onboarding on Data Boutique
3.1.3 Terms of Service Overview for Sellers on Data Boutique
3.2 Listing Datasets
3.2.1 Data Seller Contracts on Data Boutique
3.2.2 How to List Your Data on Data Boutique
3.2.3 How to Upload Content to Activate the Contract or Deliver an Order on Data Boutique
3.2.4 Guide to Understanding and Interpreting Validator Output on Databoutique
3.2.5 Databoutique GPT: Navigating Data with a Dedicated AI Assistant
3.2.6 Understanding Website Localization on Data Boutique: A Guide for Data Sellers
3.3 Pricing Datasets
3.3.1 Understanding Dataset Prices on Data Boutique: Unit Pricing
3.3.2 Factors to Consider When Pricing a Dataset on Data Boutique
3.3.3 Marginal Incremental Discount (MID)
3.3.4 Discounts Applied to Historical Data on Data Boutique
3.3.5 Private Price Requests on Data Boutique
3.3.6 Negotiating Price in Bids on Data Boutique
3.4 Data Requests (bids)
3.5 Sales Payout
3.4.2 Notifications on Sales and File Delivery
3.5.1 Payout Eligibility and Schedule on Data Boutique
3.6 Interacting with AWS S3
4. Integration and Partnership Opportunities
4.1 API Integration for Third-Party Platforms
4.2 How to Access the Data Boutique Dataset Catalog via API
4.3 Referral Program on Data Boutique
5 Using Data
5.1 Investment Analysis: Fundamental Research
5.1.1 Fundamental Investment Analysis Using Data Boutique’s Data: Retail and Consumer Goods
5.1.2 Fundamental Investment Analysis Using Data Boutique’s Data: Luxury Goods
5.1.3 Fundamental Investment Analysis Using Data Boutique’s Data: Consumer Electronics
5.1.4 Fundamental Investment Analysis Using Data Boutique’s Data: Consumer Packaged Goods (CPG)
5.1.5 Fundamental Investment Analysis Using Data Boutique’s Data: Apparel and Fast Fashion
5.2 Product Marketing Analysis
5.2.1 Product Marketing Analysis Using Data Boutique’s Data: Consumer Electronics
5.2.2 Product Marketing Analysis Using Data Boutique’s Data: Apparel and Fashion
5.2.3 Product Marketing Analysis Using Data Boutique’s Data: Luxury Goods
5.2.4 Product Marketing Analysis Using Data Boutique’s Data: Grocery and Consumer Packaged Goods (CPG)
