Consolidate data

Researchers can easily copy data from a survey only if it has the same question format. The consolidate data function helps researchers run multiple studies across various geographies or demographics and gather data to make comparisons. A single report can be generated from two different sources by consolidating data.

Example of consolidate data

For example, the HR of a company runs an employee satisfaction survey among two groups in the organization. One survey is fielded to the employees while the other to the supervisors. The studies may be different but may have common questions like 'How satisfied are you with the support you receive from your boss?' If HR wants to look at the overall support received by the employees, he/she can consolidate the responses received in both the surveys to get a more comprehensive understanding of the concerned topic.

Uses of consolidate data

Researchers primarily use the consolidate data function to combine responses from two surveys. Sometimes, researchers run surveys in batches due to various reasons. At the end of the data collection phase, they need to consolidate the data captured. Manually merging data can be very time consuming and can compromise the accuracy of the research. Consolidate data is a safe option for researchers to use when they need to combine responses from multiple surveys.

Advantages of consolidate data

Here are the advantages of consolidate data:

• Data accuracy: The tool helps the researcher to consolidate data, thus maintaining the level of accuracy.

• Time-saving: Manually combining data is a time-consuming task that can be sped up with the help of the consolidate data function.

• Gives a better picture: Combining data from two surveys give the researcher a broader view of the subject.

• Save efforts: Researchers can avoid merging the data manually and focus on the other essential aspects of the research.

How to consolidate data?

Learn how to set up and use this feature with our help file on consolidate data.