Business Intelligence Engine For High Volume Retail Data

Business Intelligence Engine For High Volume Retail Data

A business solutions provider aiming to enhance the business of its clients via cutting edge technology.

The client  is a global leader in using Business Intelligence to offer state-of-the-art analytics in retail sector.

Problem Statement

Dealing with three client sectors namely airport, shopping centers and retail, the client wanted to create a business intelligence system that would capture and store real-time transaction data , the need of the hours was to build a reporting tool that can consume large amounts of transaction data and deliver key analytical reports. The key concern with an earlier version was the time taken to load the report screens.

Solution

An application based on  Mongodb was built, with laravel as the backend and angularjs on the clientside. We ran a 3 node mongodb cluster and used highcharts to do the data presentation. We were able to achieve sub 3 second response times on all reports.

 

© Siam Computing , Crafted in Chennai