Data Analysis Methodology
Marketing: 4P, user behavior, STP theory, SWOT, etc.
Management: PEST, 5W2H, life cycle, logic tree, pyramid model, SMART principles, etc.
4P theory
From product (Product), price (Price), channel (Place) and promotion (Promote) these four aspects to analyze the market. Analysis applies to the company's overall business conditions.
User behavior
Trial --- --- --- familiar with the cognitive use --- loyalty. Applicable to research and analysis of user behavior.
STP theory
Market Segmentation (Segmentation), select the appropriate target market (Targeting) and market positioning (Positioning), it is the core of strategic marketing. STP theory is an enterprise on the basis of certain segments of the market, determine their target market, and finally the product or service in the target market positioning to determine the location of the.
SWOT analysis
From the advantages of (Strength), disadvantages (Weakness), opportunity (Opportunity), threat (Threat) analysis of these four aspects of internal and external factors. Business strategy analysis applies.
PEST analysis
From a political (Politics), the economy (Economy), social (Society), technology (Technology) four analyzes internal and external environment. Applicable to the analysis of the sector macroeconomic environment.
5W2H analysis
From Why, When, Where, What, Who, How, How much of this seven-dimensional analysis of common problems. Wide range of uses.
Life cycle
Divided into product life cycle (see: https://www.cnblogs.com/HuZihu/p/11446603.html ) and user lifecycle (see: https://www.cnblogs.com/HuZihu/p/11439054 .html ).
Logical tree
Also known as the problem tree, the tree or the interpretation of decomposition trees. All sub-problems it will issue a hierarchical list from the top to start, and gradually extended downward. Thematic analysis applied to business problems.
Pyramid Model
It is a kind of hierarchy. See: https://www.cnblogs.com/HuZihu/p/11422711.html .
SMART principle
SMART principle (Specific Specific, Measurable Measurable, Attainable be achieved, Relevant reality, Time-based time-bound) targets is a management method, worked out in accordance with this principle can be implemented in order to ensure objective, can follow up, the assessment, and easier to implement.
Data Analysis
Basic Analysis Method: A comparative analysis, packet analysis, cross analysis, structural analysis, funnel analysis, multidimensional decomposition, factor analysis, matrix analysis, etc.
Advanced analysis methods: correlation analysis, regression analysis, cluster analysis, discriminant analysis, component analysis, factor analysis, time series, etc.
These are some of the traditional statistical methods, analytical methods and some new entrants developed: cohort analysis , user and user hierarchical clustering , A / B testing , RFM model , the user path analysis , and so on.
Comparative analysis (Comparative analysis)
Comparative analysis refers to two or more data are compared, their difference analysis, which reveals the development of the law of things and the changes of the data represent. Comparative analysis can be divided into static and dynamic comparison drawn between the two.
Static Compare : Compare at the same time for different conditions of the overall index, such as different sectors, different regions, different countries compare, also called horizontal comparison, referred to as horizontal ratio;
Dynamic Comparison : under the same conditions for comparison indicator values generally different periods, also known as longitudinal comparison, referred to the aspect ratio.
These two methods may be used either singly or in combination.
One example is the relatively static contrast space , that is, the contrast between the different parts of the data, such as North China and South China comparison. Another example is the plan to compare , and contrast that is the standard program, which is very important to track the sales of a ring, such as sales reach the amount of actual and planned sales amount reached contrast, sales to see if the specified completion of the original plan, if not completed where reason.
It is a comparative example of a dynamic trend analysis , i.e. comparison of the same index at different time dimension. The year, the chain, fixed base ratio. Up is carried out with the same period last year of comparative analysis can be a quarter, month, week, day; the chain is and on a period of time to compare (there and the next time period of comparison, also after the call ratio), for example, this month and last month, this week, last week and contrast.
Structural Analysis
Structure analysis method is a method of analyzing a comparison between the general portion and is analyzed within the overall, i.e., the proportion of each part of the overall population, are relative indicators. Generally the greater the proportion of a part of, the higher the degree of importance, the greater the impact on the overall.
Multidimensional decomposition
Multidimensional decomposition means starting from business needs, will be split indicators from multiple dimensions. Why do we need a multidimensional dismantling? Sometimes a very general or ultimate indicator of what you can not see the problem coming, but after the split, many details will emerge.
Funnel Analytics
Funnel analysis is a process data analysis, it can reflect the scientific status and user behavior from the beginning to the conversion of the various stages of the end user. See: https://www.cnblogs.com/HuZihu/p/11357799.html .
A / B test
A / B test is to achieve a goal, take two options, a set of users using the program A, program B uses a group of users. Experimental results were observed by the data program, determine the quality of the two programs.
RFM model
From the most recent consumption (Recency) --- customers last time from now, consumer, consumption frequency (Frequency) --- the number of customers purchase within a fixed time (usually a year), the amount of consumption (Monetary) --- customers in a period of time (usually a year) the amount of consumption in these three areas to measure customer value and profitability.
Data analysis and data analysis methodology difference methods:
- Data analysis methodology is a broad framework for data analysis follow.
- Data analysis methods for different goals, different data sources chosen details tool, a work will help a variety of different analytical tools to analyze.
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