DataOps provides you a set of tools for automation and integration. A typical data product has the following steps:
- Requirement gathering
- Data discovery
- Data architecting
- Data ingestion
- Data modeling
- Data preparation
- Data validation
- Modeling/learning
- Model evaluation
- Model deployment
- Model staging and monitoring
- Model production and integration
- Business integration
The reason that many data science products fail is either ignoring some above steps or doing it inefficiently. In DataOps we follow the above steps in an agile way and automate them. This leads to a huge cost saving in infra and IT and creates more time and budget for business value generation and innovation.
Our DataOps model is unique and is not published anywhere as yet. It is according to lean philosophy. If you are interested please contact us for more information.