The value of a data analysis report is self-evident. Famous consulting firms such as McKinsey, Roland Berger, or Boston can earn hundreds of thousands or millions of dollars just by virtue of the report. But such a valuable data analysis report, not everyone can do out of the next I will combine some of their own experience, the data analysis report for a great analysis.
1) How to make a data analysis report?
Whether it's data, or big data that's so hot right now, the analysis process is the same. The complete data analysis process includes the following parts: business problem understanding, data grooming, data cleaning, data analysis, report production, and problem solving.
This is a closed-loop, continuous optimization process, as long as the final problem is not fully solved, the process will continue to iterate the cycle.
How do you understand each of these steps?
First, the understanding of the business problem: this module is to clarify the analysis of ideas and goals, what is the purpose of our report, what kind of analysis needs to be used, is to think in this module.
Second, data sorting: this stage is the stage of data preparation work, the main thinking is, what data sources are needed, what kind of specific data sources to what kind of fields as well as thinking about the collection method.
Third, data cleaning: the so-called data cleaning, is the data collection, organization and processing, and ultimately get the form of data suitable for analysis. Data organization and processing include many aspects and perspectives, such as de-emphasis, processing of missing values, outliers and so on.
Fourth, data analysis: including two parts, the first part is the basic statistical analysis, such as comparative analysis, cross-analysis, time series analysis. The second part is modeling mining, of course, this part depends on the specific needs. If necessary, the corresponding modeling algorithms should be operated, so as to draw relevant conclusions.
Fifth, the production of the report: here is the relevant data analysis results will be obtained for the visualization of the operation, the final output can be in a variety of forms, but the common or PPT, Dashboard-based, and here to write a specific conclusion.
Sixth, to solve the problem: any report is not self-heightened, but also need to solve the actual problem, so that the value of the report can be highlighted, such as understanding of consumers, to guide the precise marketing.
2) Types of Data Analysis Reports
Data reports are generally categorized into four types: market/industry analysis, user profiling insights, competitor research, and analysis of specific operational or business issues.
1. Market/industry analysis: analyze the current situation of a market or industry and forecast future trends. Specifically, it includes macro environment, typical enterprises, analysis of major events, development trends, etc.
2. User Portrait Insight: Insight into target users, including basic attributes, behavioral attributes, and attitudinal attributes.
3. Competitor monitoring: analyze the status quo of similar products or brands, including market share, functional requirements, and user satisfaction analysis.
4. Specific operation or business issue analysis: to analyze a detailed business issue or operation issue, such as XX put the effect of marketing analysis.
3) Report data sources
Report data sources are many, the most common include the following cases:
1. Web crawler data, such as microblogging review data, public comment review data.
2. Public Internet data, such as data from the Bureau of Statistics and major associations.
3. Market research data, which is based on the purpose of their own reports, through the relevant questionnaires to get some data samples, so as to analyze and get valuable information.
4. Internal data, mainly customer data, mostly seen in specific operational or business issues in the analysis report.
5. Operator data, if there is cooperation with the operator, you can get the data in this area, the value is high, but the price is also expensive.
4) data analysis report learning advice
Want to make a good data analysis report, in addition to the above, but also need to you usually read more consulting, data reports, learning people's framework, data analysis The first thing you need to do is to look at some of the consulting and data reports, learn the framework, the angle of data analysis, and the results of the visualization, then summarize and imitate them more often. When you are familiar with the set of data analysis report, congratulations, you will be a small success.
Here are some recommended URLs:
1. 199IT Internet Data Center:/
3. eGuarantee:/
4. Ali Research Institute:/
5. CBNDATA:/report
Also, you need to pay more attention to McKinsey, Boston, Roland Berger, Accenture, Nielsen, and other companies' WeChat public numbers and published report views.
That's what I want to say to you, I hope it will be useful to you.