Data Collection in 4 simple steps

CrowdForce
MobileForms Series
Published in
2 min readOct 23, 2018

Given that businesses need accurate information to arrive at an informed decision, data collection is of utmost importance. The details are gathered from many sources, such as online programs, surveys, mobile apps etc. The information is then processed to outline a full picture of potentials of the future. Outsourcing data collection services assist businesses in improving decision-making, ensuring quality assurance and maintaining research integrity. There are various steps commonly involved in the Data Collection process.

  1. Identifying opportunities/issues for data collection

It involves identifying the particular opportunities/issues for collecting data. An in-depth analysis of external and internal processes is vital for getting a clear picture of all that occurs within an organization. By identifying and exploring specific issues in the data collection process, you can get the flexibility to make decisions about when and how you should collect information.

2. Set objectives

Once you consider the important questions, you have to set clear goals individualized for every issue based on the collection analysis and techniques. Every opportunity or issue is reviewed in this step from the external and internal evaluation that is carried out earlier. A specific issue is chosen to start with.

3. Collecting Data

Once every question is clearly defined and the goals are properly set, information is collected. A committee is set up and specific people are chosen. These people are likely to be held accountable for every important decision that is taken regarding the collection process including finances, coordination, logistics, and designs. The logistics, resources, and technology needed for the implementation of data collection, as well as the people in charge of the data collection, are identified and determined.

4. Data Analysis and interpretation

Based on the qualitative or quantitative data collection techniques, data analysis could be intimidating at times. Businesses need to determine whether there are sufficient expertise and internal capacity for in-house data interpretation or whether a professional consultant should be hired for the task.

Often times, traditional data collection does not progress as fast as one would generally prefer, which is why it is important that CrowdForce provides access to fast and reliable data. Our network of field agents makes it possible to collect real-time data in different locations simultaneously. The hassle associated with data collection is drastically reduced as we combine steps 3 & 4 to reduce the amount of time used to gather the required data.

--

--