What are the real data analysts doing?

Data analysis in the actual work of the application of all aspects, small to Excel table, large to data-based decision-making guidance. At present, few companies have a comprehensive data management system, resulting in some of the data analysis of friends feel that work is confined to the chart to do the table, for the business unit for data.

1. User Model Diagram Construction

Purpose: Solve business problems

Because it is the e-commerce industry, users and products are very important research objects, traffic and transformation is very important indicators, so set up a variety of user models, sales model to explore user attributes, using Finebi to establish thematic analysis, analysis of purchase behavior, to develop specific marketing strategies.

2. Data Reporting System construction

Purpose: Improve efficiency

Data reporting System is the most basic data management/information management content of any enterprise, and undertakes the role of collecting, statistic, collating and presenting data. This piece of work is to be handled by Finereport, greatly reducing the workload of the previous development report, unified management data, for the subsequent data analysis work to pave the groundwork.

3. data analysis and monitoring

Purpose: To identify problems

Data analysis monitoring is mainly to assist internal and external management, to ensure the overall operation of the enterprise. For example, marketing activities, which are difficult to quantify but occupy more spending time need strong data analysis to control, the most direct is to calculate the input-output ratio.

4. Industry Market Analysis

Objective: to guide the role

The change in the industry is extremely rapid. The most commonly used is to tap the data of other competitors in the industry, understand the competitor's dynamics and analyze the future trend.

5. Data Analysis Training

Objective: To improve the overall

With the development of the enterprise, the data work if all by the Information Department data Department to undertake, will produce the fragment between the data and the business, so the best way is to let the understanding of the business people will analyze, understand the technical people can solve the problem. So it's easy to understand why it's hard to do basic training for business people.

6. Data Tools/product development

Purpose: Customization + innovation

This framework is a good set of data analysis of the content framework, at present, the data analysis is a relatively new business, the industry and there are not many experienced practitioners, most of them are technology transformation or business transformation to do, so in the future has a great development prospects. From the rising path, it is possible to start with an assistant analyst, then independently with the project execution, in the business ability, analytical skills have a considerable accumulation, become an expert, decision-making or decision support, promote business, guide the team, to achieve the level of planning, complete from business to decision-making leap. This process is also not a logical, it requires you have strong business analysis skills, executive management capacity and industry influence, and constantly accumulate industry experience and sedimentation capacity.

For most data analysts at the stage of career advancement, it is straightforward to say three points: tools to be familiar with, business to understand, and communication to be better. And then have the ability to continue to learn-good at imitation, the courage to innovate.

What are the real data analysts doing?