Vivino leverages data to drive growth and the best possible customer experience
Company Size
1,000+
Region
- America
- Europe
Country
- Denmark
- United States
Product
- Looker
- Amazon Web Services (AWS) Redshift
- Mixpanel
- Heap
- Salesforce
Tech Stack
- LookML
- Natural Language Processing (NLP)
- AWS Comprehend
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Brand Awareness
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
Vivino is the world's largest online wine marketplace and most downloaded wine app, powered by a community of millions. Vivino’s unique wine shopping experience uses community data to provide personalized wine recommendations—making wine discovery and purchase fun, accessible, and effortless for wine drinkers of every level. The company is experiencing fast year-over-year growth by using data to fine-tune retention strategies, improve customer service and response, and deliver data-rich partner apps for winery and merchant partners.
The Challenge
Vivino, the world's largest online wine marketplace, was facing challenges with data management. The company was using a plethora of spreadsheets owned by different stakeholders in different time zones, leading to inconsistent and inaccurate data. This was particularly problematic for the eCommerce side of the business, where data was being used to influence strategy and decision-making as the team scaled globally. In addition, technical users who ran their own database queries needed help making sense of conflicting results from queries run without consistent data definitions across the organization.
The Solution
Vivino implemented Looker across the organization to provide company-wide access to trusted, accurate insights. Looker's modeling layer, LookML, ensured data governance and metric definitions across datasets and queries, bringing trust back into the data and decision-making process. Vivino also utilized Looker’s native connection with Amazon Web Services (AWS) Redshift, Vivino’s data warehouse, to leverage Redshift’s processing power while ensuring a single source of truth for all the queries that ran against it. By storing all of their data in AWS Redshift and analyzing it in Looker, the Vivino team was able to view data generated by Mixpanel and Heap (product analytics and event tracking tools) and Salesforce (customer relationship management application) all in one place, providing a clear and trusted view of the entire business.
Operational Impact
Quantitative Benefit
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