Snowflake: key figures 2023
-Sales 2023: US$2.67 billion (up by 38%)
-Operating loss: US$1.09 billion in 2023
-Net margin: US$848 million
-7,828 customers
-Competitors : Databricks, Amazon.com.
-CEO: Sridhar Ramaswamy
Cécile Margnac
Since May 2022 : Senior Sales Engineer Manager, Snowflake
01/2020 – 05/2022 : Responsible of Data Transformation Program, Carrefour Group
01/2019 – 12/2019 : Data Manager for LabData, Carrefour Group
08/2005 – 12/2018 : Business Intelligence Solution Senior Designer, Functional Expert and Manager Carrefour Group
09/2002 – 07/2005 : Business Intelligence Consultant, Keyrus
What is the average investment required to set up a data clean room in Snowflake?
If the company’s customer’s data is already stored in Snowflake, a clean room can be created very quickly and without any additional licensing costs. The cost of the data clean room will depend on the data used in the clean room. It will therefore be proportional to volume. I can’t provide more details.
Beyond marketing, are there other operational cast studies?
Retailers face major challenges in terms of competitiveness and price positioning, and these topics are particularly important in the context of inflation. I notice a growing interest in range optimisation. How can we offer the right assortment at the right price to my customer, on a given channel at a given time ? Here again, data is key, as decisions will be based on consumer data on a given geography (product price sensitivity, supply-chain context, weather and competition). Another area where data can add a great deal of value is promotional efficiency, i.e., putting the right promotions on the right products at the right place. For brands, this topic remains very opaque with little feedback from retailers. As with marketing campaigns, the sooner promotional effectiveness data can be exchanged with partners, the higher is the R.O.I.
What is the average investment required to set up a data clean room in Snowflake?
If the company’s customer’s data is already stored in Snowflake, a clean room can be created very quickly and without any additional licensing costs. The cost of the data clean room will depend on the data used in the clean room. It will therefore be proportional to volume. I can’t provide more details.
Which types of retailers should have a data clean room ?
Having a large customer base is an important criterion. It enables retail media activation, which has been growing rapidly over the past 5 years beyond the supermarket grocery retail sector, driven by technology notably. Beyond volume, data governance (quality, up-to-date customer data…) is key. This requires a data marketing strategy that puts all the data in one place. Other criteria include the desire to find and win new business more easily, such as second-hand goods for luxury brands. In this second-hand category, most of our customers are online retailers. These pure-players have built themselves with advanced technologies, and are more mature than traditional retailers regarding data sharing. There are many opportunities in e-commerce, in new ways of extracting value from combined audiences.
Beyond marketing, are there other operational cast studies?
Retailers face major challenges in terms of competitiveness and price positioning, and these topics are particularly important in the context of inflation. I notice a growing interest in range optimisation. How can we offer the right assortment at the right price to my customer, on a given channel at a given time ? Here again, data is key, as decisions will be based on consumer data on a given geography (product price sensitivity, supply-chain context, weather and competition).
