Business Use Cases

Some of our Business Use Cases (Technical and Business Analytical Solutions) that were delivered through a competitive customer engagement, delivery excellence through Data Mining (CRISP-DM) & Agile Project Management Methodology

Leading Indian Private Bank

Development of highly scalable and fault tolerant search solutions

We designed, architected and developed a searching solution that met the customer requirements of 6000 - 10000 queries per 500 milliseconds through Solr Search on a scalable environment with 8 nodes on MapR cluster using Solr Cloud.

Leading Indian Private Bank

Engaged in Building a large Big Data & Analytics platform and 24x7 Operational Support

We designed, architected and developed large Big Data & analytics platform for retail & corporate Banking and integrated large dataset for customer, product and transaction for business analytics.

2nd Largest E-commerce

Optimize cashback by category, sub category & brand or price brand to maximize the revenue

Data preparation was the key factor integrating large datasets and multi-objective predictive model and multi-criteria optimization techniques used with well-known algorithms like TOPSIS and Analytical Hierarchy Process to maximize the revenue.

A Large Data Processing & Insights firm

Migration of traditional Oracle processing platform to Apache Spark

A 82% performance boost was achieved when processing 400 newly built Apache Spark jobs on HDP cluster on AWS for fast data processing (over Oracle jobs) leading saving of 3 person year manpower & processing time of 1.2 billion records.

A Leading Provider of Specialized Workforce Solutions in the USA

Hiring Dashboard and Analytics - Improve time-to-hire, retention and optimize the operation in general and skilled trade people segments

Solutions that was built to improve the time-to-hire, improve the retentions and optimize the operation with right KPIs – time to hire, Hiring by genders, time to deployment, Survey and retentions

A Leading Infrastructure Service provider in the USA

Predictive modelling for ITSM product & Infrastructure management

Modeled and Developed predictive model using Azure ML and HDInsight platform to determine which ticket to prioritize and which servers may fail in the infrastructure support engagement. The tool learns from history and adjusts how it responds to future events to build a proactive alert system leveraging machine learning.

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