Post by account_disabled on Feb 11, 2024 9:36:44 GMT
Companies that invest up to of their marketing budget in analytics are more likely than others to focus on self-service BI () and increasing the number of analysts (). “The faster you can find a solution to your problem in data, the more data-driven decisions will be made per unit of time. Obviously, if marketing does not need to go to analysts and developers for such tasks, and they can use self-service solutions, the time-to-market implementation of solutions will be higher.
The business will be able to earn more.” Marina Pisarenko, Retention Antarctica Email List Lead at Eat Derevenskoe At what stage of data collection and analytics would you like to improve your work? The answers are grouped into three equal logical blocks: Decisions and reports, Analyst work, Data collection. Most often, respondents would like to increase the percentage of data-driven decisions (), improve customer segmentation () and user data collection.
Companies that make a lot of data-driven decisions (>) are more likely to: Get answers faster ( vs.), get accurate forecasts ( vs.), improve attribution () and modeling (). For them, these are clear areas of growth, while in Data Collection they are clearly less concerned. Most likely, these problems have been solved and do not interfere with growth. budget of up to are paying more attention to customer segmentation, data collection and trying to increase the percentage of decisions made based on data.
The business will be able to earn more.” Marina Pisarenko, Retention Antarctica Email List Lead at Eat Derevenskoe At what stage of data collection and analytics would you like to improve your work? The answers are grouped into three equal logical blocks: Decisions and reports, Analyst work, Data collection. Most often, respondents would like to increase the percentage of data-driven decisions (), improve customer segmentation () and user data collection.
Companies that make a lot of data-driven decisions (>) are more likely to: Get answers faster ( vs.), get accurate forecasts ( vs.), improve attribution () and modeling (). For them, these are clear areas of growth, while in Data Collection they are clearly less concerned. Most likely, these problems have been solved and do not interfere with growth. budget of up to are paying more attention to customer segmentation, data collection and trying to increase the percentage of decisions made based on data.