STREAM ANALYTICS—RIGHT DECISION IN REAL TIME

Enables you to act and react now

MPHASIS STREAMING ANALYTICS SOLUTION

As the Internet of Things (IoT) proliferates every aspect of our lives and data from social media channels continues to surge, enterprises need to be on their feet and act and respond in near real time. Traditional analytical models cannot cope with the growing volumes and variety of digital data. That’s why we have developed the Mphasis Streaming Analytics solution—a product that allows enterprises to take intelligent actions in near real time.

WHY STREAMING ANALYTICS?

Derive Accurate Information by Implementing Natural Language Processing (NLP), Cognitive Computing, and Deep Parsing

Generate Leads in Near Real Time through Micro-Segmentation of Customers Using Text Mining Architectures

Drive Effective Brand Awareness Campaigns Using NPS Scores and Social Data

Address Risks Better through Cognitive Linguistic Methodologies, Lexical Based Methods, and Discursive Analysis

DRIVE EASY LOCALIZATION WITH MICROSERVICES

We, at Mphasis, are building a streaming analytics platform using Apache Kafka and Spark. In the platform, each processing node is treated as a ‘microservice’ implementation, allowing it to have local variations while conforming to signatures at interface points with other instances.

A CLOUD-BASED ECOSYSTEM FOR NEXT-GEN ANALYTICS

We integrate a cloud-based ecosystem into the analytics process flow to drive near real-time analytics. By combining machine learning with a prediction engine, we allow for automated responses to events and actions.