When analyzing this result if you do not know that there is a time lag tween demand and expenditure in the household budget survey such as electricity bills and there are expenses that are record in the next month you can derive the result that electricity consumption is the highest in February. It may get lost. Points of data utilization.
The most important thing in data
Utilization is to clarify the purpose at the ginning. In order not to fail in data utilization let s clarify the purpose at the ginning. Also if the owner is not you first hav Colombia Phone Number List e a firm understanding of the purpose with the owner. This is cause in data analysis hypotheses are set according to the purpose for example hypotheses for discovering the factors involv in achieving goals etc. . Then by verifying the hypotheses we will derive those solutions from the data. If you start data analysis without deciding the purpose it will difficult to get the expect results even if you put in a lot of man hours. However since it is difficult to immiately formulate a hypothesis when actually analyzing data it is recommend to start by setting outcomes according to the purpose. low is a brief description of the data analysis procure.
determine the outcome Outcomes are
Defin as “results that lead directly to a goal”. In other words an outcome candidate is something that we are happy to improve . And it comes a strong Y axis cand Email Data idate in data analysis. Example Sales conversion rate etc. . Determine the analysis unit Decide what units you want to analyze your outcomes in. Example Sales by product sales by store etc. . Decide on explanatory variables First let s talk about explanatory variables and objective variables. Explanatory variables Factors that influence results.