Question
In todays world, companies are faced with making decisions quickly. However, many factors go into making those decisions and there are usually many data points
In todays world, companies are faced with making decisions quickly. However, many factors go into making those decisions and there are usually many data points to consider. The information can become overwhelming and lead to people being frozen and not being able to make a decision due to too much information.
One approach to deal with this dilemma is to use the power of computing to categorize data based upon groupings that are predefined. Then, apply a scoring model to each category. That way a single score can be computed based upon the criteria which are set, and a decision can be made based upon the overall score.
For this discussion consider that you are creating a scoring model for Find-A-Job.com. The model should help match potential employees with employers so that the search criteria they enter will match the most qualified candidates with the job posting. For this scenario, you are in the formative stages of gathering the inputs for the scoring model.
For your initial post, describe your approach to this problem, the inputs you will need and why they are relevant to the scoring model.
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