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Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally defined meanings. In some fields of study, the term has more formally defined meanings.
A market trend is a perceived tendency of the financial markets to move in a particular direction over time. [1] Analysts classify these trends as secular for long time-frames, primary for medium time-frames, and secondary for short time-frames. [ 2 ]
The literature defines several areas in which market analysis is important. These include: sales forecasting, market research, and marketing strategy. Not all managers will need to conduct a market analysis. Nevertheless, it would be important for managers that use market analysis data to know how analysts derive their conclusions and what ...
Sales data, presented in a graphic format, can provide regular sales trend information and highlight whether certain customer types need to be targeted or focused. Price information by product line, compare with competitors, can monitor market trends; analyzed by customer type, it can check price trends in customer groups.
Market research is an organized effort to gather information about target markets and customers. It involves understanding who they are and what they need. [1] It is an important component of business strategy [2] and a major factor in maintaining competitiveness.
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.
Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered tends to increase or decrease over time or is influenced by changes in an external factor.
It is important to note, however, that the accuracy and usability of results will depend greatly on the level of data analysis and the quality of assumptions. [1] Predictive analytics is often defined as predicting at a more detailed level of granularity, i.e., generating predictive scores (probabilities) for each individual organizational element.