Data Mining and Research Process

Data Mining and Research Process

A structured approach tailored to each project

Validity and reliability of your data is our biggest priority. Our process consists of the following steps:

  1. Systematic discussion and problem definition. During this stage you are going to discuss your project and its requirements with the project manager.
  2. Development of the research design. After the detailed analysis of the project, a team of professionals is formed and the research method(s) are selected.
  3. Compilation of the appropriate data. Our professionals use a variety of sources, based upon your project requirements, to gather the appropriate data.
  4. Analysis and/or enrichment of data. If needed, data is analyzed in order to extract business intelligence from it. During this phase, a wide variety of statistical methods can be used. Data is cross referenced for each project by utilizing different sources, and enriched in order to ensure validity and reliability.
  5. Insights/Answers/Intelligence. At the end of the engagement, our findings are presented, and our observations and conclusions are discussed.

Most Projects Include these Quantitative & Qualitative Methods

However, we are always willing to go custom tailor our research methods based on your projects requirements.

  • Internet Research
  • Telephone Surveys
  • Web Surveys
  • One-on-One Interviews
  • Telephone Interviews
  • Usability Testing
  • Internet data acquisition
  • Data acquisition from existing datasets
  • Data acquisition from web pages
  • Data and intelligence extraction from business and academic publications
The WBD Guarantee

We aim to build things right the first time every time. You deserve peace of mind and should feel confident about your new software. We guarantee our work. Period.

Before we write a single line of code, we make sure we understand your data challenges so we can build a solution that meets your specific needs. We want to get everything right, from the software look and layout to the coding and framework that supports it. We take the time to learn who needs access to which types of data, so we can build in role-based permissions to restrict access and protect sensitive data.

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