Our priority is you; hence our focus is custom research. We take care to understand your business objectives and provide you with specific research data using qualitative (focus group discussions, mystery shopping etc) and quantitative (data analysis and modeling) methods.


Our international customers can now outsource their research needs to us. Put simply, we do your data entry, data processing and function as your back-office for statistical analysis and econometric modeling. Based in India, we have a cost-effective, talented pool of resources available for research, forecasting and consulting requirements. Our USP is our expertise in econometrics & multivariate analysis.
Our service offerings in RPO include: (read more)

Data Collection
.  Personal Interviews
.  Web based surveys

Data Analysis & Modeling
.  Cross Tabulation
.  Econometric Analysis
.  Multivariate Modeling with conjoint analysis, cluster analysis etc

Market Research
.  Satisfaction Modeling
.  Brand Equity Analysis
.  Forecasting
.  Macroeconomic Analysis


There are two approaches to business forecasts: ‘control event’ or ‘barometric’ . Prior to making forecasts or an econometric model, sector specific research unearths causal variables & their relations with the outcome. The barometric approach is when the influential events are outside the control of the firm such as, say, population growth or the growth in a complimentary industry. In which case, the forecasts for these influential
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events will precede the forecast for the outcome variable. The control approach is when the enterprise has the control to alter its own predictions. For example, a company finds out that within a limit the level of sales can be altered by intensifying advertising campaigns. But, in most scenarios, it will be a combination of the two.

Most often, the only data available for forecasts is historical data of the variable to be forecasted. The approach here is one of a-theoretical forecasting. In this, no assumptions are made about the interaction of other variables or events with the outcome in consideration. Instead, forecasts are made only on the basis of historical data. The past behavior and ongoing trends become clues to future patterns. The might of time series forecasting techniques is on display in such situations. Classical time series models such as ARIMA (Auto Regressive Integrated Moving Averages) are powerful techniques used for such occasions.



C-SAT: Customer Satisfaction is directly proportional to Sales and Profits. That is the simple truth. Ourtool (C-SAT) uses multi-stage surveys which take analysis to the next level based on the strength of multivariate analysis and econometric modeling.
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Sounds complicated we know, but our executions are not. We do so with simple questionnaires designed to facilitate information flow and not intimidate your customer.

We quantify and analyze the effect of conditioning factors on satisfaction and loyalty, identify different consumer segments, identify positioning gap and reveal the ideal attribute design the different segments expect.

Principal Deliverables:
1.  Report on Factors influencing purchase decision
2.  Guidance on segmenting consumers based on their perceptions
3.  Defining the difference between consumer’s stated importance & Satisfaction
4.  Identifying the gaps between management’s perceptions and customer satisfaction
5.  Factors affecting consumer behavior
6.  Measure levels of Customer Satisfaction, Service Quality and Brand Equity

Secondary Deliverables:
.  Longitudinal Studies – Monitor the change in satisfaction levels over time
.  Effect of Employee Satisfaction on quality and satisfaction
.  Competitor Benchmarking


We offer a range of services for our domestic customers from data collection to modeling and consulting. We specialize in working with SME start-ups and offer them turn-key project consultancy services. We conduct feasibility studies for SMEs helping them align their business strategy to their planned growth and development.
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