tools for data analysis in research methodology

See how the analyzed data can help you answer the questions you wanted answers to.Modern businesses have more data available to them now than ever before.

Once the data has been analyzed, it’s time to interpret it.

Invite your teammates to collaborate on the visuals via Creately real-time collaboration features.

Or enable the relevant shape library to quickly create the chart or diagram you want to represent your data with.

Select a relevant template from Creately to start visualizing your data.

For example, if it includes numbers you can use pie charts or bar charts, or if your data is on your customer’s view on competitor products, you can use perceptual maps to visualize it.

Based on the type of data you have, select a data analysis method.

Also check for the authority of data sources and measure the quality of data.

Next step is data scrubbing, where you will be removing wrong, duplicate or incomplete data.

You can create a database in Creately to store your data. Once you have gathered the data from your research, check it for accuracy.You can use research methods such as surveys, focus groups, interviews etc. Now that you know what you want to gather and how you are going to measure it, start collecting the data in a systematic way.Then decide on the criteria you should use to measure that data. Understand the type of data you want to gather to find answers to the questions you set earlier.Base the questions you ask during the research on these goals.

Set measurable, realistic and attainable goals prior to starting your research process.Research data analysis is the process of applying logical or statistical methods to understand, summarize, illustrate and assess data gathered from research.

Tools for data analysis in research methodology