Various types of reports, but few if an
Feb 20, 2024 2:21:54 GMT -8
Post by account_disabled on Feb 20, 2024 2:21:54 GMT -8
offer insight that can be converted into results. Too much investment in tools and little in people The search for real-time analytics causes companies to hire tools and professionals in the wrong way. A good analyst can provide valuable information to your decision making simply by using free tools , such as Google Analytics, for example. Most of the time companies take the opposite route, hiring robust tools like Chartbeat and Piano
and delegating the analysis of the incoming data to an intern. The chances of them receiving good reviews are very low. On the other hand, a good professional is able to get the most out of free tools at a much lower cost. Read also: Analysis tools: 5 reasons not to use them Greater complexity of systems and processes Here is a point that most companies do not pay attention to. Capturing and processing all the data in real time requires a much more complex and robust Rich People Phone Number List structure and processes. The collection, processing and storage of this data requires a much larger and better structured infrastructure. Making wrong but safe decisions The terrible false notion of trust . Many think that having data in real time will make them more prepared for the competition. This is not always true, as it can be quite the opposite. Companies do not realize the real cost of being able to work with real-time data and the return on investment. So far we have seen the reasons why I don't consider
real-time analytics to be that important. However, that doesn't mean you can never benefit from real-time data. If you think your company is ready to analyze data in real time, check if you meet the points below. When is real-time scanning recommended? Statistical significance Do you receive enough visitors for a real-time analysis to represent, with a good level of accuracy, the behavior of a segment? Does your site have enough real-time conversions for action to be taken? If you have 100 visitors a day on your site and 2 conversions, real-time is probably not a good fit for your analytics strategy. That doesn't mean you need thousands or millions of visitors to the site, but at least a significant number of visitors with expected behavior that can be used for analysis. Analytical capacity To analyze data in real time, it is necessary to have at least one full-time
and delegating the analysis of the incoming data to an intern. The chances of them receiving good reviews are very low. On the other hand, a good professional is able to get the most out of free tools at a much lower cost. Read also: Analysis tools: 5 reasons not to use them Greater complexity of systems and processes Here is a point that most companies do not pay attention to. Capturing and processing all the data in real time requires a much more complex and robust Rich People Phone Number List structure and processes. The collection, processing and storage of this data requires a much larger and better structured infrastructure. Making wrong but safe decisions The terrible false notion of trust . Many think that having data in real time will make them more prepared for the competition. This is not always true, as it can be quite the opposite. Companies do not realize the real cost of being able to work with real-time data and the return on investment. So far we have seen the reasons why I don't consider
real-time analytics to be that important. However, that doesn't mean you can never benefit from real-time data. If you think your company is ready to analyze data in real time, check if you meet the points below. When is real-time scanning recommended? Statistical significance Do you receive enough visitors for a real-time analysis to represent, with a good level of accuracy, the behavior of a segment? Does your site have enough real-time conversions for action to be taken? If you have 100 visitors a day on your site and 2 conversions, real-time is probably not a good fit for your analytics strategy. That doesn't mean you need thousands or millions of visitors to the site, but at least a significant number of visitors with expected behavior that can be used for analysis. Analytical capacity To analyze data in real time, it is necessary to have at least one full-time