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1. Getting Started

1.1. Introduction to Data Boutique

1.1.1 What is Data Boutique?

1.1.2 Key Features and Benefits

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

1.3.1 Navigating Existing Data on Data Boutique

1.3.2 Requesting Data That Is Not Listed on Data Boutique

1.3.3 Non-Logged and Logged Browsing on Data Boutique

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

2.3.2.1 How to Use the DataBoutique GPT to Simplify Your Data Interactions

2.4 Importing Data on common BI tools

2.4.1 Importing Locally Stored Data from Data Boutique into Tableau

2.4.2 Importing Locally Stored Data from Data Boutique into Power BI

2.4.3 Analyzing Data from Data Boutique’s AWS S3 in Looker

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)

3.4.1 What Are Bids (Data Requests) on Data Boutique?

3.4.2 How to Reply to a Bid on Data Boutique

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

Maintenance and File Retention Policy

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)

All Categories ​>​ ​5 Using Data ​ > ​ ​5.2 Product Marketing Analysis

5.2 Product Marketing Analysis

4 articles

5.2.1 Product Marketing Analysis Using Data Boutique’s Data: Consumer Electronics

Product Marketing Analysis Using Data Boutique’s Data: Consumer Electronics. Product launches in the consumer electronics sector require strategic demand forecasting, competitive analysis, and price…

Updated 4 months ago by Andrea Squatrito

5.2.2 Product Marketing Analysis Using Data Boutique’s Data: Apparel and Fashion

Product Marketing Analysis Using Data Boutique’s Data: Apparel and Fashion. The apparel and fashion industry is highly seasonal and trend-driven, where aligning campaigns with demand patterns and und…

Updated 4 months ago by Andrea Squatrito

5.2.3 Product Marketing Analysis Using Data Boutique’s Data: Luxury Goods

Product Marketing Analysis Using Data Boutique’s Data: Luxury Goods. Luxury goods marketing relies heavily on brand loyalty, exclusivity, and premium pricing. This article shows how to leverage Data…

Updated 4 months ago by Andrea Squatrito

5.2.4 Product Marketing Analysis Using Data Boutique’s Data: Grocery and Consumer Packaged Goods (CPG)

Product Marketing Analysis Using Data Boutique’s Data: Grocery and Consumer Packaged Goods (CPG). The grocery and CPG industry is highly responsive to price changes, promotions, and seasonal demand f…

Updated 4 months ago by Andrea Squatrito

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