Our motto for big data and analytics transformation is KISS – Keep It Simple, Smart. more detailed information concerning. With this motivation, we present structured methodology frameworks for (1) Analytics development lifecycle governance, (2) end-customer life-cycle management through analytics and (3) facilitating autonomous AI abilities for BI teams.
ANALYTHINX TOOLBOX
If you define the problem correctly, you almost have the solution
Mimicking SDLC methodology in software development, we structured a framework for developing, automating and productionalizing software products.
► Develop: Data Wrangling, Model Registry by Git, Package Management via Docker
► Automate: Champion/Challenger Evaluation, Periodic Model Retraining
► Consume: Model Score Pipeline Deployment, Model Performance Monitoring
Companies face different problems addressable by analytics throughout the customer lifecycle- activation, onboarding, growth, retention brings their own challenges. Bringing together best practices in different sectors, we schematize action strategies and supporting analytics to cover customer experience end-to-end in the following aspects.
► Connected Data
► Connected Analytics
► Connected Interactions
AI is the new BI! Our state-of-the-art self learning AI product delivers end-to-end machine learning models in SQL. Automated feature engineering procedures and best performing machine learning algorithms- all ready for being deployed in your ETL run. No need for analytic platform foundation and integration, have all your models run in-database.
