Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…

This paper presents a learning unit that addresses quality design in relational data models. The focus on modeling allows the learning to span analysis, design, and implementation enriching pedagogy across the systems development life cycle. Thriving Systems Theory presents fifteen choice properties that convey design quality in models integrating…

Data integration is a crucial element in mixed methods analysis and conceptualization. It has three principal purposes: illustration, convergent validation (triangulation), and the development of analytic density or "richness." This article discusses such applications in relation to new technologies for social research, looking at three…

Information systems increasingly provide options for visually inspecting data during the process of information discovery and exploration. Little research has dealt so far with user interactions with these systems, and specifically with the effects of characteristics of the displayed data and the user on performance with such systems. The study…

The Securities and Exchange Commission (SEC) has recently announced a proposal that will require all public companies to report their financial data in Extensible Business Reporting Language (XBRL). XBRL is an extension of Extensible Markup Language (XML). Moving to a standard reporting format makes it easier for organizations to report the…

Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…

Text analytics refers to the process of analyzing unstructured data from documented sources, including open-ended surveys, blogs, and other types of web dialog. Text analytics has enveloped the concept of text mining, an analysis approach influenced heavily from data mining. While text mining has been covered extensively in various computer…

Data integration is one of the single most challenging tasks any district can face. Fortunately for school districts throughout the country with data scattered in disparate systems, an open specification known as the Schools Interoperability Framework (SIF) is mitigating that challenge. SIF has emerged as a cornerstone of K-12 data warehousing,…

Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The…

This manual on microcomputer-based database management programs provides a description of the key characteristics of database software as well as guidelines for designing a database, uses of database programs, and selecting the right software. Three sets of concepts related to database management are listed and explained: creating a database,…

Many of the information security appliances, devices, and techniques currently in use are designed to keep unwanted users and Internet traffic away from important information assets by denying unauthorized access to servers, databases, networks, storage media, and other underlying technology resources. These approaches employ firewalls, intrusion…