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Market Research and Data Analysis

Market Research

Market research is any organized effort to gather information about markets or customers. It is a very important component of business strategy.The term is commonly interchanged with marketing research; however, expert practitioners may wish to draw a distinction, in that marketing research is concerned specifically about marketing processes, while market research is concerned specifically with markets.

Market research is a key factor to get advantage over competitors. Market research provides important information to identify and analyze the market need, market size and competition.
Market research, includes social and opinion research,is the systematic gathering and interpretation of information about individuals or organizations using statistical and analytical methods and techniques of the applied social sciences to gain insight or support decision making.

Market research began to be conceptualized and put into formal practice during the 1920s, as an offshoot of the advertising boom of the Golden Age of radio in the United States. Advertisers began to realize the significance of demographics revealed by sponsorship of different radio programs.

Market research for business/planning

Market research is for discovering what people want, need, or believe. It can also involve discovering how they act. Once that research is completed, it can be used to determine how to market your product. Peter Drucker believed[4] market research to be the quintessence of marketing.

There are two major types of market research. Primary Research sub-divided into Quantitative and Qualitative research and Secondary research.

For starting up a business, there are some important things:

Market information

Through Market information one can know the prices of the different commodities in the market, as well as the supply and demand situation. Information about the markets can be obtained from different sources, varieties and formats, as well as the sources and varieties that have to be obtained to make the business work.

Market segmentation

Market segmentation is the division of the market or population into subgroups with similar motivations. It is widely used for segmenting on geographic differences, personality differences, demographic differences, technographic differences, use of product differences, psychographic differences and gender differences. For B2B segmentation firmographics is commonly used.

Market trends

Market trends are the upward or downward movement of a market, during a period of time. The market size is more difficult to estimate if one is starting with something completely new. In this case, you will have to derive the figures from the number of potential customers, or customer segments.

Besides information about the target market, one also needs information about one's competitors, customers, products, etc. Lastly, you need to measure marketing effectiveness. A few techniques are:

Customer analysis
Choice modelling
Competitor analysis
Risk analysis
Product research
Advertising the research
Marketing mix modeling

Data Analysis

Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical or structural models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.

Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling.

 
 

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