Overwhelming quantities of data is being produced constantly and everything your customer does, in today’s digitized world, generates digital footprint that says a lot about their likes, dislikes, their current needs and even some of their future requirements that they do not know yet. Tracking these changes is intense and Quadratyx has been using advanced analytics for years to help our clients keep pace and make better decisions proactively.
With Quadratyx AI-powered predictive modeling – we can bring in new data, analyze it and understand what might happen next; and put in prescriptive analytics to permit or interdict from happening – all with greater speed, accuracy and efficiency.
This step involves understanding client requirements, collecting sample data, and analyzing visualization needs Data Analysis
This is the preparation stage for providing the solution and also acts as the configuration stage in case of repeat deployment Model Configuration
Similar to the development stage, the solution comprising big data and data science model building is initiated with the provided data sets Quality Analysis
Here we test our solution with unseen data and verify the accuracy and model's confidence in the output generated. A few cycles of improvement may be necessitated based on the outcome Solution Deployment
The production ready solution is deployed along with the handover activities and contracted period of support
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