At the end of the year and the beginning of the year, in addition to reviewing and summarizing the overall performance of the previous year, the boss is most concerned about: "What is the sales forecast for the next year?" This question seems simple, but But let the subordinate supervisors scratch their bald heads, because this prediction is not finalized by slapping their heads. If you say it is high, you will dig a hole for yourself. If you say it is low, the boss will diss you that you do not understand the current situation of the business. But what about predictions? To see such complex data, you must use very high-end tools, right? Python or SPSS? I will not ah! ! ! In fact,
We can use Excel, yes, that's right, we can mobile number list use Excel, which we usually think is very low, to complete such high-level operations without any statistical and programming knowledge, simply drag and drop, and the prediction is completed. Let's start our Excel forecasting journey with a real case! In this article, we'll take a very interesting case study of an established dessert shop. We have sales volume data for previous years and will forecast sales for the remaining months of 2020. As mentioned earlier, forecasting is one of the most basic techniques for data .
Analysts and can help companies predict future performance trends and opportunities. Both large corporations and startups rely on forecasts to make critical decisions. Use forecasting to predict the number of users of products, services, and operate at the right point in time Use forecasts to forecast sales and plan budgets accordingly, develop KPIs, etc. Use forecasts to forecast labor costs and therefore suggest future hiring plans other These are the forecasting cases that data analysts will often encounter in their actual work. If you plan to become a data analyst, definitely learn predictive analytics.