Data Analytics

In general, data analysis is the process of collecting, cleansing, and analyzing data to form useful conclusions and make important decisions.

The Benefits of Data Analytics

Successful organizations today commonly use data analysis as a strategic tool to manage information and to achieve growth. For example, data analytics is used in many industries to make better business decisions and in the scientific field to verify or disprove existing models or theories.

DART Data Analytics

The DART team has technical expertise in data collection, data cleansing, and data analysis. We offer clients a wide range of cost-effective data analysis services. Data collection is typically the first step in any data analytics project. DART provides the following data collection techniques:

Data collection using online search engines: We use online search engines such as Google, Yahoo and Bing to identify the right sources for information in addition to the info available with paid websites. We have built specific keyword- targeted searches for specific industries and topics so we can produce results quickly and efficiently.

Telephone interviews: We study the requirements of the project and devise relevant questions to extract specific information from the interviewee. Our team is experienced in modeling questions and handling questions from the interviewees.

Web surveys: Web surveys follow the similar methodology as mentioned in the telephonic interviews. We develop simple and self-explanatory questions so that the interviewee is invited to answer the questions with the least amount of difficulty possible.

Data Cleansing: The data cleansing stage involves performing "correctness" checks. Statistics such as means, standard deviations, and ranges are used to screen values that are erroneous. The incorrect data are removed and the refined data are properly tabulated.

We analyze the data and provide valuable conclusions which will help clients in their decision making process. We use the following statistical techniques for analyzing the data:

Linear and multi-variate regression analysis
Correlation
Anova (Analysis of Variance)

The analyzed data is presented in a report form, and the conclusions are provided in a format that is easily understood by the client. DART employs a formal review process to ensure quality results are produced in each step of the process.

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