Distributed Data Processing (DDP)

Distributed database system technology is the union of what appear to be two diametrically opposed approaches to data processing: database system and computer network technologies. Database system have taken us from a paradigm of data processing in which each application defined and maintained its own data to one in which the data is defined and administered centrally. This new orientation results in data independence , whereby the application programs are immune to changes in the logical or physical organization of the data. One of the major motivations behind the use of database systems is the desire to integration the operation data of an enterprise and to provide centralized, thus controlled access to that data. The technology of computer networks, on the other hand, promotes a mode of that work that goes against all centralization efforts. At first glance it might be difficult to understand how these two contrasting approaches can Continue reading

Introduction to Quantum Computing

Quantum computing is a branch of computing that is based on the principles of quantum mechanics. Unlike classical computers, which operate on binary digits (bits) that can be either 0 or 1, quantum computers use quantum bits, or qubits, which can exist in multiple states at once. This allows quantum computers to perform complex calculations much faster and more efficiently than classical computers. The history of quantum computing can be traced back to the early 1980s, when physicist Richard Feynman first proposed the idea of using quantum mechanics to solve mathematical problems. In 1985, mathematician David Deutsch developed a theory of quantum computing that showed how a quantum computer could perform certain calculations faster than a classical computer. Since then, the field of quantum computing has rapidly evolved, and today, researchers are developing a range of quantum algorithms and applications, including cryptography, drug discovery, machine learning, and optimization problems. Quantum Continue reading

Information Systems and Business Forecasting

The business provided support for using Decision Support Systems (DSS) and addressed the following issues: techniques within the DSS, corporation needs and limitations, the forecast cost effectiveness, and the appropriate software system. Sales forecasting is an integral part of marketing DSS. The DSS contains tools to help   the forecaster prepare better forecasts; tools are data, records of previous forecasting, and techniques. Forecasts assist marketing managers improve decision-making. In an organizational design context, forecasting should not be regarded as a self-contained activity, but should be integrated within the planning context of which it is a part. When an organization has its own forecasting expertise (prepares its own forecasts) that expertise should not be separated into a self-contained department. Forecasting and planning functions should be combined. Involvement of the forecasters in planning enables them to select criteria for evaluating forecasting methods that are meaningful within the planning context. Managers must go Continue reading

Software Development Processes

Software development processes are the structures or processes imposed on the development of a software product. To produce a successful and qualitative software product certain processes management criteria need to be considered. A process is a particular method of doing something, generally involving a number of steps or operations. A software development project will have at least development activities and project management activities. The development process focuses on the activities directly related to the production of software that is design, coding, and testing. Project management processes focus on planning, estimation, scheduling and taking corrective action when things do not go as per plan. Configuration management processes focus on change and configuration control, so that the correct, tested and approved version of software component are put together for delivery. The process management processes focus on the management and improvement of these processes. The four named processes will be discussed in detail; Continue reading

Role of Information System in Business Process Reengineering (BPR)

Business process reengineering concepts comes from management theories and introduce in 18th century. The purpose of business process reengineering is to make the business in best condition. The companies use the reengineering process to make the business in best position and to achieve the company goals. Business process reengineering means not only change but structural change. What kind of structural change in the organization, managing system, employee responsibilities, reward system, and information technology. Many organizations want to change the management of the organization but they not identified which part of work is to be changed. But the business process reengineering (BPR) is the concept of management and that has been formed by practical experience. BPR is not only impact inside the organization but also the external supplier and customer as well. BPR is help to increase the organization financial report and customer satisfaction and also find out the way how Continue reading

Uses and Risks of Personal Data in Big Corporations

Big Data has taken a huge role in art in creating today’s Technological Revolution. It is a phrase coined to describe the exponential volume of data we currently hold. Data is collected from a number of sources including cell phones, applications, databases, servers, etc. In return, it can then be used to find trends, patterns, and connections specifically related to how humans behave along with their interactions. This information includes likes, dislikes, preferences, and search and buyer history and is not limited to personal data such as birthdate, social security number, home address, and much more. Corporations across the globe have found new ways to use this data in everyday business functions. The collection of Big Data can be used to a company’s advantage in marketing, finance, and Government. Despite the fact that in a few situations Big Data can be hard to control, it can possibly enable organizations to Continue reading