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Big Data and Analytics

Technologies

Technology stack below

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Technology and Product

 

  • Build platform / frameworks

  • Build tool sets for technology integration

  • Domain specific product build

Analytics Modeling and Development

 

  • Information Retrieval applications

  • Natural Language Processing

  • Applications using Machine Learning

  • Statistical Analysis

  • Data Visualization

Data Engineering

 

  • Data Integration, ETL, Data Munging and Transformation

  • Unstructured/Structured Data Processing

  • Modeling Data – Using Standard Techniques

 

  • Our core team has people with a minimum of Masters degree from the best schools in India. They bring decades of extensive global experience in Financial, Retail and Manufacturing Industries. Our technical team specializes in Open Source BI (Pentaho and Talend), Big Data including Hadoop Frameworks (Hadoop, HBase, Map Reduce, Hive, Pig, Mahout), NoSQL (MongoDB, CouchDb, Neo4j), DW Appliances (Greenplum, Netezza) and Analytics (Machine Learning, Statistical Analysis using R)

  • Our Solutions offerings come with a framework/toolkit for solving challenges in a specific vertical or a domain. They would work on large datasets, variety of data structure and/or latency.

  • Our Consulting offering comes with expertise in mapping business problems to technical solutions that ensure Business value attainment. 

  • We specialize in High level architecture, platform and design consulting for a petabyte scale data processing, transformational BI and Analytics.

 

We offer following services:

We believe that with the shrinking differentiation from enterprise software, "Analytics" is the frontier to create strategic advantage for businesses. We embrace and evangelize evidence/data based decision making for creating value for Businesses. We apply eclectic disciplines and methods to business problems that enhance operational efficiencies, productivity and competitiveness. We provide Big Data Consulting and System Integration Services to our customers. We combine both domain and technical knowledge in solving business problems by bleeding edge technologies that enable outcome driven analytical solutions.

 

Nextwave is our implementation partner for Business Analytics.

 

We have tie-up with most of the product organizations that are currently best-of-the breed in Big Data and Analytics. We have an inhouse team that is exceptional and trained to think the analytical way:

Download our expertise doument

Experience

 

Below are some of the works we performed for clients as PoCs/Projects.

  • Large Scale Processing

  • Web data sourcing and Analysis

  • IT Log Processing

  • Social Network Data for Graph Processing

  • Large Corpus Text Processing for Sentiment mining, and entity identification (emails, text documents)

  • Large Structured Data for, Cleansing, standardization

  • Setting up Clusters for Hadoop and NoSQL

  • Service Offering and integration of Hadoop with the current DW landscape

  • Data Archiving and migration to the Cloud

  • Migration of Extract Transform Load (ETL)/ETL into parallel environment

  • Enhance Enterprise Data Warehousing (EDW) with unstructured data sources.

  • Monte Carlo Simulation for generating data based on various business rules

 

Analytics

  • Ad Serving Optimization

  • Predicting home location for a consumer based on Mobile data.

  • Recommendation Engine for a Job Portal

  • Rating Prediction using Yelp data

  • Claim prediction for Bodily Injury for an insurance provider

  • IT Log Analysis

  • Community Detection using CDR Data

  • Time Series analysis sales demand for a retailer

  • Churn modeling and Life time value estimates for a Mobile operator.

 

Visualization

  • Treemaps for advanced hierarchical structures (Faceting in Job Portal) and overall Job sectors depiction.

  • Area and stacked bar charts in different projects.

  • Interactive dashboarding

  • Force  directed graphs for community detection

  • Statistical representations area plots, stacked plots, rainbow graphs and polar bar charts

  • Representations of relationships of recommenders using Chord diagrams

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