The whole process of data collection and processing is one full of potential pitfalls. With human beings doing the collection and processing of the data, there is always a chance of human error that could cause the data to be lost or become worthless. Knowing the steps to take to make sure that the data is collected and processed properly is vital.
What Is This Data For?
Data collection and processing begins with questioning yourself as to why you are collecting this data in the first place. If you know the reasons, then the actual process will be a lot easier to undertake. HRSA.gov offers this quote about the first step in the process,
The development of a plan is essential for successful data collection and analysis. The first step in the planning process is determining why the data is being collected in the first place (e.g., internal quality improvement, funding requirement).
Collect Relevant Pieces
Only relevant pieces of data should be collected. Many firms begin to collect everything in sight believing that the data will someday be relevant to them. In reality, the irrelevant pieces of data should be scrubbed from the record so as to make room for reviewing the bits that really do matter.
Make The Process Easy
In order to do proper data collection and processing, one must make the process easy. Users are not too keen on taking too much of their own time to get or provide data. Instead, streamlining the process yields better results and more data in the end.
Present The Data In A Manner That Makes Sense
How is the data best displayed? That is an important consideration. Visual representation of the data is probably the best way to do things since most people respond to visual stimuli pretty well. That being said, there are many options even within the visual spectrum to choose from. The best route to go is the one that presents the data in the clearest way.
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