Research Methodology on Data Warehouse as a Service Market
Research Design:
This project will employ an exploratory research approach to uncover insights concerning the global Data Warehouse as a Service (DWAAS) market. The research design embodies qualitative and quantitative research methodology, which will act in concert to develop a deep understanding of the market.
Quantitative Research Methodology:
The quantitative research methodology for this project will involve the procurement of secondary data sources pertaining to the market, as well as geographic regions of interest. The data will be sourced from relevant and reliable third-party organizations, such as the World Bank, International Monetary Fund (IMF), World Trade Organization (WTO) and other government bodies. Additionally, aggregate data from key industry players, such as IBM, Microsoft, Oracle, and other leading vendors will be collected. The gathered data will be analysed to uncover key insights about the dynamics and structure of the global DWAAS market in terms of value and volume over a specific period of time.
The study articulates the descriptive data with the help of graphical representations such as pie charts, histograms, bar charts, pictographs, etc. The overall market statistics are characterized by the facts and findings sourced from past trade analyses and events along with estimates for the forecast period 2023 to 2030.
Qualitative Research Methodology:
The qualitative research methodology for the project will involve in-depth interviews and focus group discussions with leading vendors in the DWAAS market to gain a comprehensive overview of the market’s overall development. The collected information is validated with primary interviews and surveys of key industry participants. The interviews and surveys were conducted with the help of digital tools such as emails and phone calls.
The collected information is further analyzed with the help of industry and market-specific software and tools to assess the impact of various factors on the global DWAAS market. Interviews with subject-matter experts and analysts with a background in the market were also used to assess the future trend of the market. Additionally, the collected information is further validated through a panel of industry peers.
Sampling Design:
A random sampling approach was used to identify interviewees for the study. The list of interviewees includes key stakeholders and industry experts from the DWAAS market involved in the entire value chain. This approach was taken to ensure a balanced participant pool representing the various segments of the global market.
The population size was 112 and the required sample size was 17 participants from the various market segments who agreed to take part and provided their consent, making the sample size sufficient for the study.
Data Analysis Methodology:
The collected qualitative data is coded for better analysis. The coding process follows a validated move pattern that covers all the information received from the interviewees. This helps in better separation of the relevant information without any bias and in a systematic way.
The analysis was conducted by using the thematic analysis approach and is a crucial step in determining the market dynamics and implications of future changes. The analysis included analytical statements combined with interpretive tools to provide insights into the market.
The collected data is further analyzed using statistical techniques such as frequency analysis, regression technique, linear logistic regression, factor analysis, and cluster analysis. The analysis was performed using the appropriate statistical software such as SPSS, SAS, and Stata to provide the best information.
