Voice-to-text Analytics and Sentiment Analysis

Client challenges Project scope Our client is a US customer-facing firm who wanted to convert the voice calls recorded at the customer service desk to text and then perform sentiment analytics on that text. Solution Speech-to-text Engine Datametica built a speech-to-text engine for the client to capture the sentiment of the conversation in the data. Examples of detected sentiments are anger,...

Predictive Enquiry

Client challenges Project scope Our Client is a leading Indian Multinational company that offers learning management and training delivery solutions to corporations, institutions, and individuals. They wanted to build a statistical model for prediction of inquiry to registration. Solution Logistic regression Datametica implemented basic logistic regression to predict the number of desk, online inquiry into actual registration. The factors considered were...

DevOps

Client challenges Project scope Our client is an American retail giant. The client was facing the challenge of Code development on Dev and moving to Production. This was leading to downtime in Production due to lack of testing or not having proper code management /code review testing. Solution DevOps process Datametica helped the client by adopting DevOps process, where we implemented...

Foundation

Client situation Project scope Our client is an American retail giant who wanted to have a view of pricing, weather, geographical locations, IPs, product info, and clickstream on a single platform. Solution 360-degree view layer Datametica built an exhaustive layer to give a 360-degree view of the complete info mapped to one location. Benefits Analytics base Serves as the base for any kind...

Modern Data Platform

Client challenges Project scopeA leading American cable television provider/multiple system operator, our client wanted an Enterprise Data Hub strategy to leverage open source Big Data technologies for increased agility, scalability and faster decision making based on advanced analytics.Solution Modern Data Platform By establishing the Modern Data Platform, the client was in a position to:Leverage a linearly scalable, distributed...

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