Answer to each of the following questions is either True or False.
1.A sales report showing revenue against forecast targets along with projections for the next two quarters is an example of an EIS output.
2. An EIS is a special type of DSS designed to facilitate the analysis of information to support strategic decision-making.
3. In the structural perspective of the EIS development framework, the focus is on people and data as they relate to the EIS.
4. Sparcity can significantly increase the storage requirements of a MOLAP hypercube by requiring that space be allocated for all cells rather than just the ones that contain data values
5. The knowledge base in an EIS is the sum of what the executive knows about using the system and all of the support mechanisms designed to assist in its use.
6. The classification approach to data mining searches all details or transactions from operational systems for patterns with a high probability of repetition
7. The clustering approach to data mining is useful when there is a need to create partitions in order to discover patterns in the data
8. The ROLAP structure contains a large number of normalized tables
9.A well designed EIS will replace the need for MIS applications.
10. Data mining does not use statistical techniques because the complex patterns in data do not lend themselves to linear regression analysis