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Data Quality: Product Config

Product Config dashboard identifies wine inventory data inconsistencies, missing information, and categorization issues for auditing.

Updated over 2 weeks ago

Platform: Enolytics DTC

Summary:

What it shows: The Product Config dashboard helps you audit and clean up your product data by identifying inconsistencies, missing information, and categorization issues across your wine inventory. This Data Quality tool gives you a comprehensive view of how your products are structured and tagged in the system.

Key visualizations: The main Product Configuration table displays all your wines with their current data setup, while the supporting bar charts break down potential data quality issues by varietal, department, wine type, brand, volume, and vintage. Each chart highlights products that may need attention or corrections.

When to use it:
• Before launching marketing campaigns to ensure all products are properly categorized and tagged
• During quarterly data cleanup sessions to maintain consistent product information across your DTC channels

Questions this page answers:
• How can I find products with missing or inconsistent data?
• Which wines need better categorization before I update my website?
• Where can I see all my product setup issues in one place?
• Can I identify which varietals or brands have incomplete information?
• How do I audit my wine inventory data quality?

Tip: Start with the bar charts to quickly identify which data categories need the most attention, then use the main table to drill down into specific products that need updates.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.

Page Info

  • Category: Data Quality

  • Visual components: 8

  • Table: Product Configuration

    • Items CP (Incl $0)

    • Net Sales CP

    • Items All Time (Incl $0)

    • All Time Net Sales

    • Product Url

    • Product Name

    • SKU

    • Product Price

    • Product Photo

    • Product Last Ordered Date

    • Product Type

    • Wine Type

    • Varietal

    • Department

    • Vintage

    • Brand

    • Volume In Ml

    • Wine Name

  • Bar Chart: Varietal Check

    • # SKUs

    • Varietal Check

  • Bar Chart: Department Check

    • # SKUs

    • Department Check

  • Bar Chart: Wine Type Check

    • # SKUs

    • Wine Type Check

  • Bar Chart: Brand Check

    • # SKUs

    • Brand Check

  • Bar Chart: Volume Check

    • # SKUs

    • Volume Check

  • Bar Chart: Vintage Check

    • # SKUs

    • Vintage Check

Visual Components

  • Filter Panel: Calendar

  • Table: Product Configuration

    • Items CP (Incl $0)

    • Net Sales CP

    • Items All Time (Incl $0)

    • All Time Net Sales

    • Product Url

    • Product Name

    • SKU

    • Product Price

    • Product Photo

    • Product Last Ordered Date

    • Product Type

    • Wine Type

    • Varietal

    • Department

    • Vintage

    • Brand

    • Volume In Ml

    • Wine Name

  • Bar Chart: Varietal Check

    • # SKUs

    • Varietal Check

  • Bar Chart: Department Check

    • # SKUs

    • Department Check

  • Bar Chart: Wine Type Check

    • # SKUs

    • Wine Type Check

  • Bar Chart: Brand Check

    • # SKUs

    • Brand Check

  • Bar Chart: Volume Check

    • # SKUs

    • Volume Check

  • Bar Chart: Vintage Check

    • # SKUs

    • Vintage Check

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