DATA COLLECTION
In today's world, to run a business successfully one must have good forecasting skills. Better the forecasting, better the result would be. Forecasting could be done effectively with help of data analysis and we can perform data analysis once we have relevant and business oriented data.
So to perform data analysis we need to collect the data and in this article i am going to tell you the different tools and benefits of data collection.
What is Data collection
Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes.
It’s basically the process of gathering data and evaluating it systematically to obtain insights that solve business challenges and overcome them
Different Data collection tools
There are so many types of tools/methods for the effective collection of data. Few of them are
- Interview
- Focus groups
- Surveys (mail, phones, online)
- Observation
- Documents and records
- Oral histories
Issues related to maintaining integrity of data collection:
The primary rationale for preserving data integrity is to support the detection of errors in the data collection process, whether they are made intentionally (deliberate falsifications) or not (systematic or random errors).
Quality assurance - activities that take place before data collection begins
Quality control- activities that take place during and after data collection
What are the benefits of Data Collection Tools?
Data has changed the very way in which a business faces challenges, tackles them, and overcomes them. However, what’s the role of data collection tools in helping businesses achieve goals and solve hurdles? Here are the various benefits of using data collection tools for your business.
- Solve business problem
- Analyse performance
- Improve overflow
- Analyse market and customers
- Survey Design for Data Collection
While designing the survey we must have to take care of few points for the effective data collection to avoid the risk of failing to identify problems and errors early in the research endeavor.
- Writing Great Questions for data collection
- Avoid loaded or leading words or questions
- Misplaced questions
- Avoid the use of confusing/unfamiliar words
- Question which cover two points
- Avoid use of long point
References
https://surveysparrow.com/data-collection/data-collection-tools/
https://www.softwaretestinghelp.com/data-collection-tools/
https://www.jotform.com/data-collection-methods/
https://ori.hhs.gov/education/products/n_illinois_u/datamanagement/dctopic.html