The collection of data is a crucial stage in any research process, but it is only beneficial if the information is of value to your company. To make sound, data-driven decisions that move your business forward, you require quality data that you can be able to comprehend and use. That means that you need to properly collect your data using a method that is accepted.
Step 2: Put your design into operation
After you’ve determined how to collect the information you require, it’s time to execute your plan. This will be contingent on the type of information that you’ll need. It could involve administering surveys conducting interviews, or observing participants in your study, or conducting experiments and testing.
You might have to perform additional mathematical operations to prepare your data for analysis. For instance you might calculate medians, the averages, medians and modes. You may also need to record your quantitative data as it occurs or, ideally, shortly afterward, so that the data doesn’t disappear or be forgotten.
It could be as simple to write down the number or count in the notebook. It could require software that allows you to observe and record your performance on computers. In any circumstance, it’s an essential step to ensure that your information is accurate and reliable. Even if the results are not exactly what you expect having a record of your data will help you identify and correct any mistakes that may have been committed inadvertently.
