Monday, February 13, 2012

What are the benefits of database approach?

database approach will:
  • Eliminate redundant data;
  • Reduce data storage, administration and management cost;
  • Improve data quality; and
  • Provide better return on information management investment.

Database approach helps us to improve information management. What is it?

The use of a single relational database to store people and organization data. This single database could be accessed and used by any application software from every departments in organizations.

Why is information management important?


People and organizations are involved in many business functions such as:
  • Customers place product orders;
  • Employees take product orders;
  • Products are shipped to customers;
  • Vendors provide products;
  • Companies send requests for quotes or proposals to companies;
  • Employees report time and expenses on projects; and
Organizations and people are involved with contracts and other agreements.
If every application captures and stores people and organization data, then there is a lot of redundant processing. This increases the information management costs e.g.
  • There is cost associated with synchronizing data between management information systems;
  • There are additional data quality issues and costs as different systems may capture data using different rules;
  • There are additional data movement costs as it is necessary to load data warehouses from multi sources and to sort out which data is the correct version and the most accurate version.

synchronization issues is one of the challenge in information system. explain

People information is generally captured in a variety of source applications. This presents some synchronization issues.

Imagine you call your cell phone company and give them a change of address. The customer database may be updated but the next day, a bill is sent to the old address by the billing system, which was not synchronized with the master customer database. This is a common type of data challenge.

Suppose your company gives away free product samples and offers to send them by mail to people who fill out questionnaires at retail stores.

People and organizations share some key information concepts that need to be tracked. Explain

  • Relationships. Persons may have relationships with other persons or organizations. A person may have a relationship as employee with one department and then switch to another; a customer may have a relationship as a client with one sales representative and then switch to a new sales territory or sales representative.

  • Addresses. People and organizations both have addresses;

  • Contact method. People and organizations are both contacted via email; web site URL’s, phone numbers, fax numbers; and

  • Contact information. Most companies have a need to track communications such as email, customer contact, etc.

Describe some individual information management system used to store people and organization information

People information is frequently stored in a variety of individual management information systems such as:
  • Sales;
  • Marketing campaign management;
  • Contact management;
  • Order entry;
  • Billing;
  • Invoicing;
  • Human resource management;
  • Contract management;
  • Project time reporting and management;
  • Customer relationship management; and
  • Enterprise resource management.

Describe typical people and organization information that is captured by information system.

Most companies require information about people and organizations such as:
  • Customers;
  • Employees;
  • Suppliers;
  • Vendors;
  • Contractors;
  • Internal departments;
  • Branch offices; and
  • Subsidiary companies.

What is Enterprise information system

An enterprise information system is generally any kind of computing system that is of "enterprise class". This means typically offering high quality of service, dealing with large volumes of data and capable of supporting some large organization ("an enterprise").

Enterprise information systems provide a technology platform that enables organizations to integrate and coordinate their business processes. They provide a single system that is central to the organization and ensure that information can be shared across all functional levels and management hierarchies. Enterprise systems are invaluable in eliminating the problem of information fragmentation caused by multiple information systems in an organization, by creating a standard data structure.

A typical enterprise information system would be housed in one or more data centers, run enterprise software, and could include applications that typically cross organizational borders such as content management systems.

What is Modeling?

abstraction of a real-life system used to facilitate understanding and to aid in decision making. It has become a popular device in business. The model can be classified into three popular types: (1) physical model; (2) graphical model; and (3) mathematical model. Examples of physical models are childhood toys such as dolls and toy airplanes. Graphical models are abstractions of lines, symbols, shapes, or charts-for example, a break-even chart . Mathematical models are the ones that have stimulated most of the recent interest in models for decision making. Any mathematical formula or equation is a model. Mathematical models are used to solve planning and decision problems and to answer various what-if scenarios. Examples include the break-even model and Linear Programming (LP) .

Source: http://www.allbusiness.com/glossaries/model/4944881-1.html#ixzz1mJlt3HEv

What is WHAT-IF ANALYSIS?

Related Terms:simulation

attempt to represent a real-life system with a model to determine how a change in one or more variables affects the rest of the system, also called simulation . Simulation will not provide optimization except by trial and error. It will provide comparisons of alternative systems or how a particular system works under specified conditions. It is a technique used for what-if scenarios. The advantages of simulation are: (1) when a model has been constructed, it may be used over and over to analyze different kinds of situations; (2) it allows modeling of systems whose solutions are too complex to express by one or several mathematical relationships; (3) it requires a much lower level of mathematical skill than dooptimization model



Source: http://www.allbusiness.com/glossaries/what-analysis/4941923-1.html#ixzz1mJeZF8xn

What is Simulation?


attempt to represent a real-life system with a model to determine how a change in one or more variables affects the rest of the system, also called what-if analysis . Simulation will not provide optimization except by trial and error. It will provide comparisons of alternative systems or how a particular system works under specified conditions. It is a technique used for what-if scenarios. The advantages of simulation are: (1) when a model has been constructed, it may be used over and over to analyze different kinds of situations; (2) it allows modeling of systems whose solutions are too complex to express by one or several mathematical relationships; (3) it requires a much lower level of mathematical skill than do optimization model



Source: http://www.allbusiness.com/glossaries/simulation/4947447-1.html#ixzz1mJeC1GYV

What is Financial Planning Model?

Related Terms: financial model

functional branch of a general corporate planning model. It is used essentially to generate pro forma financial statements and financial ratios. A financial model is a mathematical model describing the interrelationships among financial variables of the firm. It is the basic tool for budgeting and budget planning. Also, it is used for risk analysis and what-if analysis experiments. Many financial models use spreadsheet programs such as excel and LOTUS 1-2-3



Source: http://www.allbusiness.com/glossaries/financial-planning-models/4951364-1.html#ixzz1mJdldrbr

What is Linear Programming?

mathematical approach to the problem of allocating limited resources among competing activities in an optimal manner. Specifically, it is a technique used to maximize revenue, Contribution Margin (CM) , or profit function or to minimize a cost function, subject to constraints. Linear programming consists of two important ingredients: (1) objective function and (2) constraints, both of which are linear. In formulating the LP problem, the first step is to define the decision variables that one is trying to solve. The next step is to formulate the objective function and constraints in terms of these decision variables. For example, assume a firm produces two products, A and B. Both products require time in two processing departments, assembly and finishing. Data on the two products are as follows:

Products
A B Available
Assembly (hours) 2 4 100
Finishing (hours) 3 2 90
CM/unit $25 $40
The firm wants to find the most profitable mix of these products. First, define the decision variables as follows:

A = the number of units of product A to be produced
B = the number of units of product B to be produced

Then, express the objective function, which is to maximize total contribution margin (TCM), as:

TCM = $25A + $40B

Formulate the constraints as inequalities:

2A + 4B < 100
3A + 2B < 90
and do not forget to add the non-negative constraints:

A > 0, B > 0


Source: http://www.allbusiness.com/glossaries/linear-programming-lp/4942501-1.html#ixzz1mJdRngMo

What is Regression Analysis?


statistical procedure for estimating the average relationship between the dependent variable (sales, for example) and one or more independent variables (price and advertising, for example). It is a popularly used method for estimating the cost-volume formula (y = a + bx). simple regression involves one independent variable, e.g., direct labor-hours or machine-hours alone, whereas multiple regression involves two or more independent variables. Assuming a linear relationship, the simple regression model indicates that the relationship is y = a + bx, where a, and b are unknown constants, called regression coefficients. The multiple regression model is y = a0 + a1x1 + a2x2 + ... + akxk, where a's are coefficients and x's represent the number of independent variables.

In estimating the cost-volume formula, regression analysis attempts to find a line of best fit. To find the line of best fit, a technique called the least-squares method is widely used.



Source: http://www.allbusiness.com/glossaries/regression-analysis/4954162-1.html#ixzz1mJauvICl

What is Decision Support System?

Branch of the broadly defined Management Information System (MIS) that provides answers to problems and that integrates the decision maker into the system as a component.

The system utilizes such quantitative techniques as regression analysis Linear Programming (LP) and financial planning models. DSS software furnishes support to the accountant in the decision-making process. It analyzes a specific situation and can be modified as the practitioner wishes. Models are constructed and decisions analyzed. Planning and forecasting are facilitated.

Source: http://www.allbusiness.com/glossaries/decision-support-system-dss/4952711-1.html#ixzz1mJaemyLl

What is Management Information System?

Computer-based or manual system that transforms data into information useful in the support of decision making. MIS can be classified as performing three functions:

1) To generate reports-for example, financial statements, inventory status reports, or performance reports needed for routine or nonroutine purposes.

2) To answer what-if questions asked by management. For example, questions such as "What would happen to cash flow if the company changes its credit term for its customers?" can be answered by MIS. This type of MIS can be called simulation .

3) To support decision making. This type of MIS is appropriately called Decision Support System (DSS) . DSS attempts to integrate the decision maker, the data base, and the quantitative models being used.


Source: http://www.allbusiness.com/glossaries/management-information-system-mis/4944371-1.html#ixzz1mJaHCRxH

What is Information System?

system of transforming raw data into useful information for a decision maker.

What is System?

A system is a collection of elements or components that are organized for a common purpose.