Chapter 13 : EBUSINESS

E- commerce and E-business :

Industries Using : E business Example

E-business Models :

• an approach to conducting electronic business on internet.

E-business Tools :

E-business Benefits and challenges :

1. E business Business:

• highly accessible
• decreased cost
• increase convenience
• increase global reach

  

     2. challenges :

• protecting consumers
• leveraging existing systems
• increasing liability
• providing security
• adhering to taxation rules.

Chapter 12 : ENTERPRISE RESOURCE PLANNING

Enterprise Resource Planning (ERP) : ERP systems is a database,when a user enters or update information in one module,it is immediately and automatically update throughout the entire system.

ERP PROCESS FLOW

The Evolution Of ERP :

Integrating SCM , CRM and ERP :

• SCM,CRM and ERP are the backbone of e business.
• Integration of these application is the key to success for many companies.
• Integration allows to unlocking of information to make it available to any user, anywhere and anytime.

• General audience andpurpose of scm crm and erp:

Integration Tools :

Chapter 11 : Customer Relationship Management

Customer Relationship Management : enable an organization to provided better customer service,make call centers more efficient and help sales staff close deals faster.

Benefits of CRM :

• CRM Predicting technology help organization predict customer behavior.

Operation and Analytical CRM :

Chapter 10 : SUPPLY CHAIN MANAGEMENT

Supply Chain Management : carry flow of information about raw material and product.


Basics of Supply Chain : organization must embrace technology that  can effectively manage supply chains.

Information Technology Role in the Supply Management : its primary role is to create integration or tight process and information linkages between function within a firm.

Factor Driving Supply Chain Management :

Supply Chain Planning and Supply Chain Execution :

Supply Chain Management Success Factors :

1. the factor fostering speed

  

  

  2. 7 principles of supply chain management.

Chapter 9 : Enabling The organization - Decision Making

MAKING BUSINESS DECISIONS

The Decision Making Process

•  The process of making decision plays a crucial role in communication  and leadership for operational,managerial and strategic project.

Decision Making Essentials

• A few key concepts about organizational structure will help our discussion of MIS decision making tools.

Operational

• Operational decision are considered structured decision,which are in situations where established processes offer potential solution. 

THE SIX STEP DECISION MAKING PROCESS

Common Company Structure

Operational :

• Employees develop, control and maintain core business activities required.
• Also considered structured decision ,arise in situations where established process offer potential solutions.
• Made frequently and are almost repetitive in nature.

 Managerial :

• Employees are continuously evaluating company operations  to hone the firm's abilities to identify, adapt, to and leverage change.
• Cover short and medium range plans, schedules and budget along with policies, procedure and business objectives for the firm.
• Semistructured decision occur in situation few established process help to evaluate potential solutions.
• EXAMPLE:decision about producing new product changing employee benefits range from unstructured to semistuctured

Strategic:

• Managers develop overall business strategies, goals, and objectives.
• Monitor strategic performance and its overall direction in political,economic and competitive business environment.
• Unstructured decisions,in situation in which procedures or rules exists to guide decision makers.

Transaction Processing Systems

• online  transaction processing (OLTP) =The capturing of transaction and event informative using technology.
• online analytical processing (OLAP) = The manipulated of information to create business intelligence in support of strategic decision making.

Strategic Support Systems 

1. Consolidation
2. Drill Down 
3. Slice and Dice

Artificial Intelligence

Intelligence Systems :

• various commercial application of artificial intelligence.

Artificial Intelligence (AL) :

• simulates human intelligence such as the ability to a reason and learn 

 Categories of AL include :

1. EXPERT SYSTEM : imitate the reasoning processes of expert in solving difficult problems.
2. NEURAL NETWORK : attempt emulate the way the human brain work.
3. GENETIC ALGORITHM : an AI system that mimics the evolutionary, survival of the benefits process to generate increasingly better solution to a problems.
4. INTELLIGENT AGENT: have knowledge of based information systems that accomplishes specific tasks on behalf of its users such as multi agent systems and agent based modeling.  

Chapter 8 : Accessing Organization Information- Data Warehouse

                  HISTORY OF DATA WAREHOUSE

• Data warehouses extend the transformation of data into information

• In the 1990’s executives became less concerned with the day-to-day business operations and more concerned with overall business  functions

• The data warehouse provided the ability to support decision making without disrupting the day-to-day operations

               DATA WAREHOUSE FUNDAMENTALS

Data warehouse – a logical collection of information – gathered from many different operational databases – that supports business analysis activities and decision making  tasks

Extraction, transformation, and loading (ETL) – a process that extracts information  internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse

Data mart – contains a subset of data warehouse information

     MULTIDIMENSIONAL ANALYSIS AND DATA MINING

•        Databases contain information in a series of two-dimensional tables.
•        In a data warehouse and data mart, information is multidimensional, it contains layers of columns and rows
•        Dimension – a particular attribute of information
•        Cube - common term for the representation of multidimensional information. 
•       Data mining – the process of analyzing data to extract information not offered by the raw data alone

      INFORMATION CLEANSING OR SCRUBBING

•       An organization must maintain high-quality data in the data warehouse
•       Information cleansing or scrubbing – a process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information

CONTACT INFORMATION IN AN OPERATIONAL SYSTEM

INFORMATION CLEANSING ACTIVITIES

BUSINESS INTELLIGENCE 

• Business intelligence – information that people use to support their decision making efforts

• Principle BI enablers include:

              –Technology

               –People

                –Culture