Business analytics (BA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods. Business analytics makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, reporting, OLAP, and “alerts.”

Instructional Design (also called Instructional Systems Design (ISD)) is the practice of creating “instructional experiences which make the acquisition of knowledge and skill more efficient, effective, and appealing.” The process consists broadly of determining the current state and needs of the learner, defining the end goal of instruction, and creating some “intervention” to assist in the transition. Ideally the process is informed by pedagogically (process of teaching) tested theories of learning and may take place in student-only, teacher-led or community-based settings. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed. There are many instructional design models but many are based on the ADDIE model with the five phases: analysis, design, development, implementation, and evaluation. As a field, instructional design is historically and traditionally rooted in cognitive and behavioral psychology, though recently Constructivism (learning theory) has influenced thinking in the field.

Emotional intelligence (EI) can be defined as the ability to monitor one’s own and other people’s emotions, to discriminate between different emotions and label them appropriately, and to use emotional information to guide thinking and behavior. Studies have shown that people with high EI have greater mental health, exemplary job performance, and more potent leadership skills, markers of EI and methods of developing it have become more widely coveted in the past few decades.

Technology strategy (Information Technology strategy or IT strategy) is the overall plan which consists of objective(s), principles and tactics relating to use of the technologies within a particular organization. Such strategies primarily focus on the technologies themselves and in some cases the people who directly manage those technologies. The strategy can be implied from the organization’s behaviors towards technology decisions, and may be written down in a document. Other generations of technology-related strategies primarily focus on: the efficiency of the company’s spending on technology; how people, for example the organization’s customers and employees, exploit technologies in ways that create value for the organization; on the full integration of technology-related decisions with the company’s strategies and operating plans, such that no separate technology strategy exists other than the de facto strategic principle that the organization does not need or have a discreet ‘technology strategy’. A technology strategy has traditionally been expressed in a document that explains how technology should be utilized as part of an organization’s overall corporate strategy and each business strategy. In the case of IT, the strategy is usually formulated by a group of representatives from both the business and from IT. Often the Information Technology Strategy is led by an organization’s Chief Technology Officer (CTO) or equivalent. Accountability varies for an organization’s strategies for other classes of technology. Although many companies write an overall business plan each year, a technology strategy may cover developments somewhere between 3 and 5 years into the future.

Enterprise architecture (EA) is a well-defined practice for conducting enterprise analysis, design, planning, and implementation, using a holistic approach at all times, for the successful development and execution of strategy. Enterprise Architecture applies architecture principles and practices to guide organizations through the business, information, process, and technology changes necessary to execute their strategies. These practices utilize the various aspects of an enterprise to identify, motivate, and achieve these changes. Practitioners of EA call themselves enterprise architects. An enterprise architect is a person responsible for performing this complex analysis of business structure and processes and is often called upon to draw conclusions from the information collected. By producing this understanding, architects are attempting to address the goals of Enterprise Architecture: Effectiveness, Efficiency, Agility, and Durability.

Technology management is set of management disciplines that allows organizations to manage their technological fundamentals to create competitive advantage. Typical concepts used in technology management are technology strategy (a logic or role of technology in organization), technology forecasting (identification of possible relevant technologies for the organization, possibly through technology scouting), technology road map (mapping technologies to business and market needs), technology project portfolio ( a set of projects under development) and technology portfolio (a set of technologies in use). The role of the technology management function in an organization is to understand the value of certain technology for the organization. Continuous development of technology is valuable as long as there is a value for the customer and therefore the technology management function in an organization should be able to argue when to invest on technology development and when to withdraw. Technology management can also be defined as the integrated planning, design, optimization, operation and control of technological products, processes and services, a better definition would be the management of the use of technology for human advantage.

The technology adoption life-cycle is a sociological model that is an extension of an earlier model called the diffusion process and which was originally published only for its application to agriculture and home economics. The technology adoption life-cycle model describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups. The process of adoption over time is typically illustrated as a classical normal distribution or “bell curve.” The model indicates that the first group of people to use a new product are called “innovators,” followed by “early adopters.” Next come the early and late majority, and the last group to eventually adopt a product are called “laggards”.