Jun 22, 2022
In General Discussion
At the end of another year, companies are formulating work plans for 2021. When it comes to the data analysis work plan, many students scratch category email list their heads in confusion. How to write a data analysis work plan? Today we will explain the system. 1. Common pits in category email list the work plan If you let other departments write work plans, the high probability is the following style: Sales: Generate 2 billion revenue for the company throughout the year, plan to target XXX per month Operation: 10 events were organized throughout the year, and the double eleven sales hit 500 million! Supply: Guarantee the supply of 2 billion revenue, and reduce the loss rate to... Development: 10 events are guaranteed to be online, and the system runs category email list stably for more than 300 days So how to write data analysis? Writing method 1: Write 2000 lines of sql every day and complete 500,000 lines in 250 working days in a year Writing method 2: Establish 20 prediction models category email list to achieve a prediction accuracy of 99.99999% Writing method 3: Establish 10 data systems to promote the company's digital transformation in depth Writing 4: Provide 10 activity reports with 100% data accuracy. Which of the four spellings above is OK? It is about performance in 2021, readers must stop and think for a minute. answer: Written in sales and category email list operations, it is closely related to the company's efficiency and financing progress, and is directly related to category email list everyone's wallet! Although supply and development do not directly make money, they cannot earn a penny without them, and they are rigid supports. The only category email list thing that data analysis does is neither rigid nor making money, and it is optional. In the above four ways of writing, 1, 2, and 3 are seriously failing. Because 1, 2, and 3 are all about data analysis, that is, it has nothing to do with performance and incom.