What this dashboard is
Enolisa Analytics (often labeled “My enological experience”) is a set of dashboards that turns your cellar and tastings into actionable insights:
- What you drink most
- Where your wines come from
- How your ratings evolve over time
- What aromas/flavors you repeat
- How your AI-Lisa pairings tend to look (when you use the pairing feature)
It’s designed for wine lovers who want self-knowledge and better decisions, not professional judging.
What data it uses
Analytics is based on:
- Wines in your cellar (My wines)
- Tastings you’ve logged (Tastings)
- Pairings generated and stored on tastings (AI-Lisa pairings)
If you have little or no data, some charts will not appear or will show an empty state.
Main sections (what you can expect)
Enolisa Analytics is typically organized into tabs/sections such as:
1) Evolution
Purpose:
- Track your tasting rating evolution over time and detect patterns (for example: “I rate higher when I drink sparkling”).
Typical outputs:
- Time-series of tasting ratings
- “Best rated wine” highlight
2) Grapes
Purpose:
- Understand which grape varieties dominate your cellar and your tastings.
Typical outputs:
- Grape distribution charts
- Preference distribution by grape (based on your activity)
3) Countries / Regions
Purpose:
- See where your wines come from and what you discover most.
Typical outputs:
- Rankings by country
- Region/denomination breakdowns (when available)
4) Cellar value
Purpose:
- Estimate and break down the total value of your cellar.
Notes:
- Uses your stored purchase prices when available and your selected currency preference.
5) Your tastes
Purpose:
- Summarize your recurring sensory vocabulary.
Typical outputs:
- Top aromas (most frequently selected)
- Top flavors (most frequently selected)
- Additional “behavior” insights when available (for example: price range, top shops)
6) Recommendations (Premium)
Purpose:
- Show personalized recommendation outputs when Premium features are enabled.
Important:
- The recommendation module is Premium-gated in Enolisa.
7) Pairings insights (AI-Lisa)
Purpose:
- Aggregate your AI-Lisa pairings to show patterns such as:
- common cuisine types
- typical occasions
- seasonality
- dominant flavor profiles
Important:
- Pairing insights require that you generated pairings on tastings.
How to use analytics (practical examples)
- Planning: “I’m exploring too many similar regions—let me diversify.”
- Buying: “I tend to like high-acidity whites—look for that profile.”
- Pairing: “My pairings lean toward spicy/umami—what wines fit that?”