About KA
Editorial Information
Submission Rules
Current Issue
Past Issues
 
 
 
 
Volume 27, Issue 1


No Flipbook Available

Wilfred John Plumbe, F.L.A.
Janaki Sinnasamy,
   
N/A

The Importance of Identifying the Right Data Collection to Facilitate a Better Decision Making
Che Rosnah Ngah,
   
In a knowledge management setting, data is placed at the bottom of the hierarchy as the initializer before data is converted to the next hierarchy level which is called information. Although data and information are easily available, their usefulness may diminish if they are not handled carefully. This may be due to the method of data collection or the degree of its originality. A researcher is aware that the decision making process is based on having both facts and figures which are complementary to each other. However sometimes, people have a tendency to keep lots of unused data for the sake of ‘just-in-case’ needs. This happens when precise needs are not properly identified and creates wastage of energy and resources, not to mention improper decision making. In the knowledge based society that we are aiming for, data and information must be used optimally and a good knowledge repository must be created. A solution to acquire a good set of storage and retrieval data, apart from prior determination, is to have proper skills of data interpretation and analysis using appropriate ICT tools which include statistical sampling method. The ultimate aim is to overcome information explosion where people are drowning in information but starving for knowledge. Examples are outlined showing how data can be manipulated to reflect false pictures due to wrong decision making based on meaningless and doubtful non-quality data. Knowledge workers are responsible for embedding prior value the moment data is collected or used. Proper actions taken by the knowledge workers will result in a good knowledge repository which contributes positively towards a knowledge society.



Last update: 14-08-2014