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[10] [11] The second quadrant is an e-content which could include e-books, illustrations, Case studies , Open source content , reference links, further reading sources, etc. [ 12 ] The third quadrant is about clearing students' queries where students can interact with each other and faculty; any student or faculty can answer a student’s question.
More broadly, marketing managers work to design and improve the effectiveness of core marketing processes, such as new product development, brand management, marketing communications, and pricing. Marketers may employ the tools of business process re-engineering to ensure these processes are properly designed, and use a variety of process ...
The Common University Entrance Test (CUET), formerly Central Universities Common Entrance Test (CUCET) is a standardised test in India conducted by the National Testing Agency at various levels for admission to undergraduate, postgraduate, and doctorate programmes in Central Universities and other participating institutes. [1]
In marketing, a company’s value proposition is the full mix of benefits or economic value which it promises to deliver to the current and future customers (i.e., a market segment) who will buy their products and/or services.
The Chemistry, Biology, Physics and Design Technology was last updated for first teaching in September 2014, with syllabus updates (including a decrease in the number of options), a new internal assessment component similar to that of the Group 5 (mathematics) explorations, and "a new concept-based approach" dubbed "the nature of science". A ...
In India, the 11th Grade is the first year of higher secondary education and is often considered the third year of high school (Higher/Senior Secondary School or Senior High School). It is commonly known as "Class 11" or "Plus 1" (derived from "10+1") and, in some states, as the first year of Junior College (Intermediate or Pre-University Course).
Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.
Factor analysis is commonly used in psychometrics, personality psychology, biology, marketing, product management, operations research, finance, and machine learning. It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.