Natio Finds Beauty in Its Data With the Help of Domo
Customer Company Size
SME
Region
- Pacific
Country
- Australia
Product
- Domo BI & Analytics
Tech Stack
- Data Analytics
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Consumer Goods
Applicable Functions
- Sales & Marketing
- Product Research & Development
Use Cases
- Predictive Replenishment
- Demand Planning & Forecasting
Services
- Data Science Services
About The Customer
Natio is a proudly Australian, family-owned natural beauty-care brand that can be found on bathroom countertops in millions of homes across the country and around the world. Founded in 1993, the iconic brand has grown to encompass premium products ranging from lipstick and mascaras to moisturisers and room scent diffusers. As Natio’s national sales manager for Australia and New Zealand, Paul Gascoigne is responsible for ensuring the personal care products that people rely on for their daily routines are always available on the shelf.
The Challenge
Before Domo, Natio struggled to make use of the limited data it could access. While it received sales data from its top retailers, this data only provided high-level information that left the company blind to the nuances of which products and colors were selling and why. Because data was so difficult to collect and process, it was often stale by the time it was presented to the board, while static documents left company leaders unable to dive deep into the data to get answers.
The Solution
Thanks to Domo, Natio is now able to collect data more frequently from all its retailers, distributors, factories, and internal staff for a holistic view of the business in real time. With approximately 340 SKUs across dozens of channels sold at retailers around the world, Gascoigne uses Domo to quickly see what the numbers are trying to tell him and his team. The sales team uses Domo on a daily basis to understand which products are hits, which products aren’t selling as expected, and the reasons why. In addition, other key stakeholders are able to use sales data to inform their work.
Operational Impact
Quantitative Benefit
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