This tool, called Continual, is made to make it easier for people to predict things using data. It works with popular cloud data platforms like BigQuery, Snowflake, Redshift, and Databricks. You don’t need to be an expert in engineering or complicated software to use it – you can build models using simple SQL or dbt declarations. It also allows teams to work together and share features to speed up model development. The models that are built using Continual get better over time, so the predictions it makes are always up-to-date. It also stores data and models directly on the warehouse, which makes it easy to access with other tools. This tool can be used in different ways depending on what a business needs. For example, it can be used to predict if customers will stop using a service so the business can try to keep them. It can also be used to forecast how much inventory a business will need to have, so they don’t run out or waste too much. It can even estimate how valuable a customer will be in the long run, so a business can make better marketing decisions. Continual is made for data teams and can be used by people who know SQL or dbt, as well as data scientists who use Python.
