Data Science and Analytics

Analytics is the approach of using statistical computational methods to discover useful patterns in data and report them. We thereby gain insight and can objectively workout decisions and approaches for a line of business. Predictive Analytics is a data-driven algorithmic approach to derive key attributes of the model from the data itself, instead of an analyst making assumptions given a background in a particular domain. Using a combination of domain knowledge, predictive modelling skills and an investigative mindset is what makes our approach novel. We iteratively work between 'observed' and 'noticed' patterns in the data to refine the model to deliver a successful predictive analytics-based solution. Our current offerings are focused on the infrastructure software domain, at scale deployment of containers and feedback-based systems.