Business Intelligence is the process of transforming related business data into information, information into knowledge and with repetitive identification turning knowledge into Intelligence. Data: It is a raw data i.e. it represents reality, facts and figures. Information: It is a data that is processed and interpreted. Knowledge: After the information is processed, it becomes more sensible containing some meaning and understanding. Business Intelligence (BI) is a wide category of applications and technologies for collecting, storing, analyzing, and providing access to data to help the enterprise users make better decision making. BI applications supports the activities decision support systems, querying and reporting, online analytical processing (OLAP), statistical data analysis, forecasting and data mining. Some important definitions of Business Intelligence are: Business Intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and Continue reading
Business Information Systems
Data Mining and Privacy Concerns
In data mining, the privacy and legal issues that may result are the main keys to the growing conflicts. The ways in which data mining can be used is raising questions regarding privacy. Every year the government and corporate entities gather enormous amounts of information about customers, storing it in data warehouses. Part of the concern is that once data is collected and stored in a data warehouse, who will have access to this information? Oftentimes a consumer may not be aware that the information collected about him/her is not just shared with who collected the information. With the technologies that are available today, data mining can be used to extract data from the data warehouses, finding different information and relationships about customers and making connections based on this extraction, which might put customer’s information and privacy at risk. Data mining necessitates data arrangements that can cover consumer’s information, which Continue reading
Social Engineering Attacks – Explanation with Examples and Prevention Tips
The rise of 21st century marked the transition phase of the most global businesses towards a paperless office environment, where the focus shifted the manual to the computerized form of work culture. But at the same time, change brought a number of threats and menace in terms of one of the biggest issues of the current businesses, the social engineering used among the hackers for cracking techniques that rely more on human weaknesses rather than technology itself. The aim or motive of such attacks was getting access to passwords or other relevant information by tricking people for carrying out illegal or criminal activities. FBI and other security experts hold a firm view that majority of threats originate from the internal working environment or employees who have been granted additional privileges or authorities to company’s information. People who have an urge for power and control over other individuals exhibit the social Continue reading