Skip to main content

Information & Types of Management Information


WHAT IS INFORMATION?

Information is data presented in a form that is meaningful to therecipient. It adds to knowledge and is relevant for the situation.

Two types of information are accounting information and management information.

Data becomes information when they are transformed to
communicate meaning or knowledge, ideas or conclusions. By
itself data is meaningless.

The attributes of an item of information are: accuracy, form,
frequency, breadth (scope), origin, time. horizon. Attributes of a
set of information are relevance, completeness and timeliness.

TYPES OF MANAGEMENT INFORMATION

Seven types of information are necessary for top-level managers.

1. Comfort information: informs about current situation or
achievement levels that are tuned to expectations. (Clients
served, target achieved, patients treated, operations conducted,
etc.)

2. Status information or progress information: keeps abreast of
current problem and crises and changes.(progress on office
construction, status of research study, labor negotiation, grant
application)

3. Warning information: signals that change for good or worse are
occurring (stock price, turn over, client complaints, etc.)

4. Planning information: descriptions of projects/programs due in
future, knowledge of anticipated developments(future of
funding, future of federal/provincial support )

5. Internal operations information: indicators on how organization/
program is performing.

6. External intelligence: information, gossip, and opinions about
activities in the environment of the agency. Competition,
funding policies, political changes, emerging social policies,
etc.

7. Externally distributed information: annual report before release,
quarterly progress report for donors, press releases about the
agency, publicity material before printing, etc.

Among these, the first five are internal to the organization. Two
are external to the organization.




NOOPUR GARG
BBA/4536/07

Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p