How to Get the Most Out of It
Posted: Tue Jan 21, 2025 4:24 am
This will make the presentation of information clear and accessible to employees. In the future, it will be possible to standardize the forms of data presentation for the most popular scenarios. This will save time on data design and will relieve end users from the need to clarify and correct the presented data.
Another practical example: in one large company, consisting qatar telegram number database of about 50 branches, the CEO participated in creating reports. I would even call him a genius - he had a phenomenal memory and masterfully understood even the most complex data sets.
But the problem was that the managers simply couldn't cope with the level of reporting that the boss was involved in. Even though it all seemed obvious to him.
As a result, only the manager himself works with them - because such a level of complexity is beyond the team’s capabilities.
Analytics for Business:
Implement analytics systems gradually: from simple solutions to complex ones.
Set data collection parameters so that the system collects only the numbers you need.
Check the quality and correctness of the data.
Store historical data.
Format your data in a way that is understandable not only to experts but also to a wider audience.
Another practical example: in one large company, consisting qatar telegram number database of about 50 branches, the CEO participated in creating reports. I would even call him a genius - he had a phenomenal memory and masterfully understood even the most complex data sets.
But the problem was that the managers simply couldn't cope with the level of reporting that the boss was involved in. Even though it all seemed obvious to him.
As a result, only the manager himself works with them - because such a level of complexity is beyond the team’s capabilities.
Analytics for Business:
Implement analytics systems gradually: from simple solutions to complex ones.
Set data collection parameters so that the system collects only the numbers you need.
Check the quality and correctness of the data.
Store historical data.
Format your data in a way that is understandable not only to experts but also to a wider audience.