Efficiency Analysis

Efficiency concerns how to generate as much output with minimum input. Here is an indication that a system can be said to be inefficient:

1. Much time is wasted on the activities of human resources, machines, or computers.
2. Data is input or copied to excess.
3. Data processed in excess.
4. Information is generated in excess.
5. Effort required for these tasks are too excessive.
6. Material required for these tasks are too excessive.

Control Analysis

Business tasks need to be monitored and corrected if found sub-standard performance. Control system installed to improve performance, prevent, or detect system errors, ensure data security, information, and requirements. The things to note are:

1. Security or controls are weak

• Input data is not edited enough.
• Crime (eg, embezzlement or theft) of the data.
• Ethics violations in the data or information. For example, data or information accessible to people who do not berwenarig.
• Data stored in redundant, inconsistent in the files or different databases.
• Breach of data privacy rules or guidelines.
• An error occurred while processing (by humans, machines, or software).
• An error occurred while making a decision.

2. Excessive control or security.

• Bureaucratic procedures slow down the system.
• Control of excessive disturbing customers or employees.
• Excessive control causing delays in processing.

Economic Analysis

Economic reasons is perhaps the most common motivation for a project. Basic foundation for most managers is the cost or dollars. Economic issues and opportunities related to problem costs. As for the things that can be listened to note the following:

1. Cost

• The cost is not known.
• Costs can not be traced to the source.
• The cost is too high.

2. Profit

• New markets can be explored.
• Marketing can now be repaired.
• Orders can be improved.

Information Analysis

Information is a crucial commodity for end users. Evaluation of the ability of information systems to produce useful information needs to be done to address the opportunities and deal with problems that arise. In this case did not improve the quality of information by increasing the amount of information, because too much information will actually create new problems. Situations that require increased information include:

1. Decision or lack of information about the current situation.
2. Lack of relevant information about the current situation or decision.
3. Lack of timely information.
4. Too much information.
5. Informasj inaccurate.

Information can also be a focus and a restriction or policy. While the system output check information analysis, data analysis examined the data stored in a system. Problems faced include:

1. Redundant data. The same data is captured and / or stored in many places.
2. Stiffness data. Data captured and stored, but organized in such a way that the test report and can not or hard to do.