What is Marketing Analytics? [Detailed Introduction] – Super Heuristics digital marketing analyst

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คุณต้องการเรียนรู้ว่า Marketing Analytics คืออะไร คุณมักจะเป็นนักการตลาด นักศึกษา MBA หรือเพียงแค่คนที่อยากรู้ว่าการวิเคราะห์การตลาดคืออะไรกันแน่ Marketing Analytics ไม่ได้แตกต่างจาก Marketing แต่อย่างใด Marketing Analytics เป็นสาขาของการตัดสินใจทางการตลาดโดยใช้ข้อมูล วิดีโอนี้จะใช้เป็นบทนำสู่ Marketing Analytics นี่เป็นวิดีโอชุดแรกของวิดีโอของฉันใน Marketing Analytics ดังนั้นให้แน่ใจว่าคุณดูวิดีโอทั้งหมด ดาวน์โหลดหนังสือจากห้องสมุดการตลาดฟรีของคุณ: แหล่งข้อมูลที่ดีที่สุดในการเรียนรู้การวิเคราะห์: #Analytics#MarketingAnalytics #DescriptiveAnalytics #PredictiveAnalytics #Marketing #SuperHeuristics

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What is Marketing Analytics? [Detailed Introduction] - Super Heuristics
What is Marketing Analytics? [Detailed Introduction] – Super Heuristics

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What is Marketing Analytics? [Detailed Introduction] – Super Heuristics
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ดูวิธีการทำเงินออนไลน์ล่าสุดทั้งหมด: ดูเพิ่มเติมที่นี่
ดูวิธีการทำเงินออนไลน์ล่าสุดทั้งหมด: ดูเพิ่มเติมที่นี่

22 thoughts on “What is Marketing Analytics? [Detailed Introduction] – Super Heuristics digital marketing analyst”

  1. Hlo sir…I'm a student I want to do markting analytics..but in my bachelors I'm not suppose to choose my specialization so I done my bachelor's in markting so I decided to do markting analytics ..could u PLZZ tell me what things will help me to get perfect my self in this field which courses and which program I have to learn.. your reply will means alot…thank you ..

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  2. Very well explained ..Heuristics is generally an incorrect way of reaching a solution ..using human experience and dimention of feel , perception or gut instinct or something as past background knowledge used in times of uncertainity, its runs contrary to saying that "people dont like to think that is why they judge" . analytics is the thinking part of human side ..judging is heuristics, sometimes question is tough to understand and that is why we use heuristics shorcuts ..it lands you around target question but will never exact ..doubt could still be there..

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  3. Hey darpan excellent information and very well explained, well to answer your question I believe that human intelligence is absolutely necessary because it simplifies the whole web of complications when it comes to data coming from different sources, it makes it easy to understand, data can be used more efficiently, the probability of positive results will be more based on decisions taken

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  4. Yes, human intelligence is required after prescriptive and predictive data analysis in order to provide real context for the results of the analysis. Models can be excellent and very sophisticated but human intelligence is absolutely required to interpret the findings and what actions to take as a result. This process turns the result of the data analysis into something actionable, or an insight.

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  5. Human intelligence is required. It's required because not every entrepreneur/ person can understand what is the analysis trying to say. There can be certain conclusions that we need to derive based on the analysis and conclusions of the tool used. This can properly carried out by a person who has experience with the same.

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