Information system

Information system

Introduction

I believe that tough information has become one of the most valuable assets of modern corporations; development of information systems (IS) faces many problems. Among the most important are low productivity, a large number of failures, and an inadequate alignment of ISs with business needs. There were essentials for business information system development success that return many times the cost. While business information systems can be implemented without these essentials, they cannot be accomplished in an integrated, non-redundant, and cost-effective manner without them. All the above problems are further aggravated by the increasing complexity and size of software products. Each generation has brought new application areas as well as extended functionality leading to larger systems, which are harder to design, construct and maintain. Moreover, because of a large number of new technical options and innovations available - like client/server architectures, object-oriented approaches, and electronic commerce - novel technical aspects are transforming the practice of ISD faced somany prbems during the the Knowledge Worker Framework was an overarching framework within which all work products that were key to the development of business information systems were organized and categorized. (Giachetti, R.E., 2010)

The framework provides a well-ordered column and row structure, along with work product integration, non-redundancy and inter-cell relationships. This enables a do-once, use-many-times environment that saves time, money and promotes understanding and exchange. A data-driven methodology for business information systems development is essential for success because it has been shown that the data-driven approach reduces the quantity of items that have to be developed through information technology. Coupled with the Knowledge Worker Framework, there was certain knowledge of what needs to be specified, and in what sequence to reduce or eliminate duplication, and to reduce or eliminate semantic conflict. (Giachetti, R.E., 2010)

I believe that database Object Classes were highly engineered and well-formed collections of data and embedded processes that relate to business-defined states along a highly engineered life cycle. Business information systems almost always focus on the database objects within one or a few Database Object Classes. Database Object Classes were critical to business information system specification and development as a way to achieve non-redundant, integration, and semantic conflict elimination. It was important to have Database Object Class encapsulated in database management systems wherever possible to eliminate the need to have them redundantly defined in different business information systems. This saves time, reduces cost, improves productivity, and dramatically increases the consistency of process execution. All in all, it seems to be commonly recognized that ISD was not satisfying organizations' needs, whether they are technical, economical, or behavioral. Consequently, companies world-wide are facing challenges in developing new strategies for ISD as well as in finding supporting tools and ways of working (Giachetti, R.E., 2010)

I believe that data architectures had two dimensions. The first, database architecture classes, were the different types of databases implemented across the enterprise. There were five discrete database architecture classes. Examples include those that originally capture data such as order processing systems and data wwerehouse ...