Analytics Solutions

Survey Analytics to generate insights

One of the world’s foremost providers of country, industry and management analysis wanted to identify hidden trends and generate insights from the Survey data.

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Model for stock acquisition opportunity in India

A New York based investment bank wanted to identify undervalued IPOs in the Indian market.

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Business rules for determining price points for a leading Software company

The client was one of the leading providers of software solutions and support, specializing in the management of Chapter 7 bankruptcies in the United States.

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Customer Segmentation and behavior modeling for a telecom company

A leading Indian telecom company having countrywide market penetration wanted to develop and implement segment wise customer strategy.

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Optimization of hotel reservation channel

A leading hotel chain with properties over 12 countries wanted to evaluate the effectiveness of their current reservation channels for various customer groups.

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Demand Forecasting Modelling

Tata Strategic helped the company to identify and shortlist attractive markets for Urea from a group of countries by forecasting the demand over the next 15 years. Tata Strategic developed a regression based model to forecast urea consumption for 15 years involving key parameters for each of the 6 countries. Tata Strategic collected historical data on each parameter and performed a correlation analysis to eliminate insignificant parameters. Interdependencies among parameters and logical reasoning used to further shortlist core parameters.

A model was developed by performing multiple regression analysis on the 5-6 parameters. Based on this model, urea consumption was forecasted for 15 years for 6 countries. A multi-step estimation technique was incorporated to forecast some of the causal factors. The predicted consumption had a variation of less than 10% from International Fertilizer Association estimates for the first 5 years

 

Develop Pricing framework for a dairy company

Tata Strategic evaluated the overall dairy industry structure and identified key players in the value chain. A survey was conducted to collect data on consumer perceptions. Time series estimation and regression analysis were applied to the historical retail prices of milk and the survey data to identify demand – supply patterns, seasonality effects and price determinants. Conjoint analysis and other statistical methods were used to determine price sensitivity. Based on this analysis, Tata Strategic designed the pricing framework for procurement and determined the price points at the retail level.

Tata Strategic’s methodology brought significant wins for the pricing function of the client.

 


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