What kinds of problems in data collection and/or analysis are likely?
There are many likely problems to be found in data collection. One such problem is undefined events or hidden variables. When a company does research it is often times to hard to see every variable within a given projection. For instance to merge one company with another there is much more than geographic location that factors the success of the venture. One of the biggest downfalls with many companies is the ignoring of corporate culture. In this case May and Federated operate in two different ways, predicting and finding a solution to this dilemma is very difficult to do. Data inaccuracy is another large problem in data collection. Data must be scrutinized and tested to make sure it is reliable enough to build a model off of. • How would you address those needs in a DSS? Creating a DSS which involves stock price minimums, geographic minimums, etc. that each company desires for a merger. And to create simple tables and graphs that would show data … and as inputs change. Can include
