Data Analytics & Modelling

We have the expertise to work with Big Data using the foll. tools and techniques:

Python & R programming for data management & data wrangling, data tabulation and statistical computation
Java, PHP, C++ and NoSQL for web-based development
Database/ Data formats – ASCII, Excel/ CSV, SPSS/ NoSQL

We can run advance analytics such as:

Multivariate analysis (Factor/ Cluster/ Discriminant/ Regression/ LCA)
Create association rules – Market basket analysis
Predictive modelling using Decision trees (CHAID, CART), Random Forest, Deep learning Neural Networks, Gradient Boosting etc.
Identify feature importance (e.g. Driver analysis) for successful brands/ products/ services using advance techniques like GINI coefficient/ Entropy which are beyond traditional simplistic techniques like Linear regression/ Path modelling etc.

We can even take up more advanced level of work e.g. deploying predictive models into client’s system, automated online dashboards using PHP and other web-based tools, NLP (Natural Language Processing) & text analytics, which can used to categorise open-ended text responses without any manual intervention..