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Statistical / Quantitative Analytics and Modeling
 

We employ the latest quantitative solutions and data analysis processes to conduct statistical and data modeling studies. We help decision makers analyze the market, design competitive strategies and reduce risks by using techniques such as predictive analytics. Predictive analytics helps in predicting future trends and outcomes by analyzing the current and past data.

We have a team of competent professionals who are well-versed in applied statistics, programming and data analytics. Armed with technical expertise in the usage of spreadsheets, SPSS and SAS, our team possesses the standard industry skills and experience to deliver quality output. Based on our client's requirements, we process, tabulate and analyze the data to provide solutions to complex business problems. Some areas of applications where the tools can/have been used are

Market segmentation
Market sizing
Demand forecasting
Credit Scoring
Market optimization
Customer behavioral analysis
Sensitivity analysis
Trend Analysis

To gain meaningful insight and analyze the data, our team conducts different kinds of analysis. These include

Discriminant analysis
Market basket analysis
Multidimensional scaling
Logistics Regression
Curve Fitting
Cluster analysis
Multivariate analysis of variance
Time series analysis
Conjoint analysis
Simulation
Linear regression modeling
Correlation
ANOVA
Perceptual Positioning/Mapping
Chi- square test
Multiple regression
Non-parametric correlation
Factor Analysis

We present the output of the analysis in various formats viz., charts, graphs and tables that serve as valuable inputs for decision making.

 
 
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