This is my fourth original article \

What are the cornerstones of data analytics?

Answer: The cornerstone of data analysis is data, followed by methodology, followed by various analysis models, and then advanced by various algorithms, machine learning, and AI.

The specific process is as follows:

1. Understand each business link based on business;

2. Collect and sort out data around a specific problem, clarify indicators and dimensions;

3. Follow various analysis routines to explore and discover data from various dimensions;

4, according to the abnormal points found, layer by layer, find the root cause of the problem;

5, to analyze the root cause, a preliminary listing of solutions;

6. Analyze the pros and cons of each solution, select one, and make an action plan;

7. Monitor the execution process, review the execution results, and continue to optimize.

How would you rate the above answer?

I give to 0

Yes, that’s what all data analysts do on a daily basis. Most of the daily work of data analysts is just to raise numbers and make reports. Once there is no data, blind from top to bottom.

Someone said, data analyst, analysis of course is the data, from the perspective of the data to observe the results of business behavior, and then make a decision.

That’s true, but not quite true.

In their eyes, data = database, tables, reports, beer diapers, data center, and then what? Making decisions against these reports?

These are the cornerstones of data analysis

What should data analysis analyze?

Analysis is information, process, organization and relationship.

What insights should data analytics have?

Insight is intelligence, is the system, is the individual, is human nature.

What is the data? That’s all it says. What you can collect is only a fraction of all the data. But to take part of the information, to speculate about the real world, to make decisions, is like seeing the wood for the trees.

This is the data

This is the data

This is the data

This is still data

A vegetable market in the eyes of white-collar workers

Real world food markets

The real situation

A group of white-collar workers have never seen a real trading scenario sitting in the office, on the data collected over part of the various channels, in a variety of labels, with all kinds of data analysis methods, models, algorithms and the database platform, reporting platform, BI tools, algorithm, data on stage, in the analysis of a pile of unexplained bluff type fall as a result, scold by operation. Had to look for a few good explanations from other angles, the operation took the report to beautify it, looking for leadership to take credit.

Ha ha… \