Identifying business needs and user expectations
Assessing customer’s technical environment
Defining the solution’s functional and non-functional requirements
Conducting exploratory analysis of available data sources, both customer-owned and from public databases
Designing the solution’s architecture
Defining the implementation strategy and optimal technology stack
Setting the project’s timeline and budget
Data preprocessing, including data cleaning, annotation, and transformation
Defining the solution’s evaluation criteria
Developing the solution in-line with the defined implementation strategy
Integration and deployment
Integrating the solution into the customer’s infrastructure
Launching the solution into operation
Support and maintenance
Further retraining of the predictive analytics solution using user feedback and new data from the production environment
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