Enolytics - Data analytics for the wine and spirits industry.

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Five Top Projects, and Five Completely Random Things We've Learned So Far

The countdown started last week, of top ten examples of how wine companies actually use Enolytics as their big data partner.

This week we're rounding out the list, with this bonus: five completely random, fun things we've learned since we launched six months ago.

Smart data means seriously smart business. But that doesn't mean we're serious all the time. Scroll on down.

But first, here's the complete list of Enolytics' top ten projects:

10. Optimization of restaurant wine lists based on local consumer behavior.

9. Most popular foods paired with wines for Millennials in the northeastern U.S.

8. Consumer interest in French wines in the Chinese market.

7. Demographic comparison, between consumers in two European countries, of online wine buyers in the luxury category.

6. Identify a producer's lagging markets compared to national benchmarks in particular categories.

5. Price elasticity. If a winery increases prices, how will it impact volume?

4. Ideal taste profiles for new product development.

3. Inquiries originating with international companies, from Asia to Canada to South America, regarding wine consumer behavior in those markets.

2. Gap analysis for individual producers, identifying popular price ranges and taste profiles where the producer is under-represented.

1. Optimized price models for entry of a new wine based on consumer demand and behavior.

Who knew? That these were the questions on your minds, that is, and the ways that big data can be used to address them.

We think it's pretty cool. 

Also really cool, and completely random, are these five fun things we've learned along the way:

5. There is a Freedom of Information office in Toronto that maintains ecommerce data about the LCBO, the Liquor Control Board of Ontario.

4. How confident some third party data sources are in the maturity and cleanliness of their data, especially compared to other sources who are surprisingly un-confident.

3. The wide range of value, in dollar amounts, that sources place on their data.

2. The Bangkok coffee at Flying Goat Coffee in Healdsburg. Hashtag enough said.

1. Some of the most amazing, competent, and visionary data scientists we've ever met were born in the Amazon and rural Tennessee.

Again, who knew?

PS I was honored, in a heart-racing kind of way, to formally present Enolytics in a session organized by Moss Adams LLP at the Wine Industry Financial Symposium in Napa earlier this week. Equally exciting was the presentation after me by Michael Longerbeam of Dry Creek Vineyard, one of our early-adopter winery partners, who demonstrated the interactive dashboard we built for their DTC program. If you'd like to talk about any of that, please let me know.

Thank you, as always, for reading --