Data Mining and Knowledge Discovery

Information is the essence of the modern business environment. It plays a vital role in operations, management decision-making, product analysis and marketing strategy. Information is a set of data or facts that are generally of unprocessed or incomplete nature. This may include date, prices, names, addresses, locations, titles, and so on. One major use of information is in business process modeling, which helps in deriving various models that can be implemented for decision-making.

In simple terms, information is structured, organized and processed information. It gives context to other data and allows decision making about different activity. For instance, a single customer’s sale at a particular restaurant is complete information-it becomes important information if the business can identify the best or least common dish. In this context, it becomes necessary to provide enough useful information for decision making; otherwise, the decision-making process may never progress. Business Process Modeling (BPM) and Knowledge Discovery (KDD) help in providing accurate, complete and up-to-date information to improve business process modeling, data processing and knowledge extraction.

Decision-making about an important activity requires unbiased information, which can only be acquired through data analysis, knowledge acquisition, and data processing. In the case of the criminal charge, Straw Vote, which is a form of information gathering, is used for influencing public opinion. According to Wikipedia: “A Straw Vote is a procedure for selecting candidates from a list of candidates, which are recommended by party officials for the election. Although there may be some concern about the fact that votes are being selected using a subjective process, this method has been used for many years and is widely considered fair by most countries.”