Quantitative Research

A wealth of actionable insights are hidden in the numbers. Our skilled analysts are able to mine the data and extract these insights from raw data. The quantitative analysis services provided by empulse are;

• Database Data Analysis
• Survey Data Analysis

Database analysis is conducted on information already existing within the companies' IT systems. Research analysts explore to understand customer behavior patterns and other characteristics. Database analyses conducted by eMpulse include;

• Data mining
• Data modeling
• Customer segmentation
• Conjoint analysis
• Other advanced data analytics

Data mining is an exploratory process in which a skilled analyst mines the data to observe patterns that are not observed without rigorous mathematical analysis. Data models provide objective predictors for customer behavior. Customer segmentation will allow us to refine the marketing efforts that are customized by type of customers and their preferences.

Survey Data analysis is conducted on direct responses from customer. Data is collected in the form of online surveys, telephone surveys or in-person surveys. It is then analyzed using statistical packages SPSS, Minitab or SAS. A well designed survey questionnaire can provide good market information which will help develop profit maximizing strategies. Data analysis techniques includes cross tabs, statistical modeling, hypothesis testing, and various graphical analytics.

eMpulse follows a proprietary analytics thought process. Data is systematically refined and database prepared for analysis. Then a series of business hypothesis is developed which are statistically analyzed to develop answers. Business acumen is used to provide actionable recommendation based on data.

eMpulse analysts have extensive experience in dealing with complex data analytics situations. Most database analytics needs high level of technical abilities along with an eye for detail. eMpulse analysts are your partner for your complex business problems.

eMpulse provides solutions that are practical in nature. Years of experience of management in senior leadership positions at large and small corporations have helped us develop a unique perspective on how change gets executed at corporations.

Successful analysts need to be very innovative in data analytics because of the unstructured nature of data residing in the customer’s database. A combination of theoretically sound methods coupled with research execution savvy gives eMpulse an edge over the competition.