"𝗾𝘂𝗶𝗰𝗸 𝗮𝗻𝗱 𝗱𝗶𝗿𝘁𝘆" 𝗼𝗿 "𝗳𝗮𝘀𝘁 𝗮𝗻𝗱 𝗳𝘂𝗿𝗶𝗼𝘂𝘀"? 𝗡𝗼 𝗧𝗵𝗮𝗻𝗸𝘀. 𝗜 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲! Optimizing the generation of periodic reports means standardizing. The new and increasingly powerful data analysis tools and the "democratization" of the process itself shift the focus on the "analytical" aspect of the tool, often leaving out the "reporting" functions: the tool is often used to perform "quick analysis" and dirty "(which at times seem more "fast and furious") neglecting the production and sharing of "institutional" reports that periodically show updated information of interest. But, if you need to create reports to be updated periodically, you will necessarily have to address the issue of the standardization of the process. Using these 10 steps in the design, in addition to standardizing the production process, the user-side data interpretation process is also facilitated and optimized as, over time, they become familiar with the data they receive periodically. # # # #dataviz ####
"𝗾𝘂𝗶𝗰𝗸 𝗮𝗻𝗱 𝗱𝗶𝗿𝘁𝘆" 𝗼𝗿 "𝗳𝗮𝘀𝘁 𝗮𝗻𝗱 𝗳𝘂𝗿𝗶𝗼𝘂𝘀"? 𝗡𝗼 𝗧𝗵𝗮𝗻𝗸𝘀. 𝗜 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲! Optimizing the generation of periodic reports means standardizing. The new and increasingly powerful data analysis tools and the "democratization" of the process itself shift the focus on the "analytical" aspect of the tool, often leaving out the "reporting" functions: the tool is often used to perform "quick analysis" and dirty "(which at times seem more "fast and furious") neglecting the production and sharing of "institutional" reports that periodically show updated information of interest. But, if you need to create reports to be updated periodically, you will necessarily have to address the issue of the standardization of the process. Using these 10 steps in the design, in addition to standardizing the production process, the user-side data interpretation process is also facilitated and optimized as, over time, they become familiar with the data they receive periodically. # # # #dataviz ####