Sumya Medhat Ismail MIS English Section

3rd year

Enterprise Resource Planning System & Data Warehousing

Implementation

Sumya Medhat Ismail MIS English Section

1

ERP System : is software solution that addresses the enterprise need .It takes the process view of an organization goals and tightly integrates all functions in that organization.

It is also defined as : a large computer system that integrate all facets of

an operation, including, development, manufacturing, sales and marketing.

Enterprise Resource Planning System

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Enterprise Resource Planning System

This integration is accomplished with through a database shared by all the application programs.

An ERB is “ do it all” system that performs everything from entry of sales orders to customer service.

The purpose of ERB is to facilitate the flow of information between all business functions inside the boundaries of the organization and manage the connections to outside stakeholders.

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Enterprise Resource Planning System

Why ERP? ERP offers solution for all Business

function Packages available for organization

of all sizes and types Global nature (multi currency)

Disadvantages of ERPElimination of costly inflexible legacy systemvery complex , Expense and time in implementation

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Data Warehousing Implementation

Data Warehousing ImplementationData Warehousing Implementation Is an integrated, subject-oriented, time-variant, non-volatile database that provides support for decision making.Integrated :

the data warehouse is a centralized, consolidated database that integrates data retrieved from the entire organization.

subject-oriented :the data warehouse data is arranged and optimized to provide answers to question coming from diverse functional areas within a company.

time-variant :the warehouse data represent the flow of data through time it can even contain projected data.

non-volatile :once data entre the data warehouse, they are never removed.the data warehouse is always growing.

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Data Warehousing ImplementationData Mart : is a small, single-subject data warehouse subset that provides decision support to a small group of people.

The seven principles data warehousing :

(Business principles) Organizational consensus Data Integrity Implementation efficiency User friendliness Operational efficiency.

(It principles) Scalability compliance with IT standards.

Solving Business problems and Adding Value with data warehouse-based solutions.

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Data Warehousing Implementation

Numerous constraints :• Available funding. • Management’s view of the role played by an IS department and of the

extent and depth of the information requirement.• Corporate culture .

No single formula can describe perfect data warehouse development

Implementing a Data warehousing

Factors common to Data warehousing Data warehouse is not a static database. Dynamic framework for decision support that is always a work in

progress. Data warehouse data cross department line and geographical

boundaries. Must satisfy :

• Data integration and loading criteria. • Data analysis capabilities with acceptable query performance• End-user data analysis needs.

Apply a database design procedures.

Thank you