Analytics
Maslow of Data Analytics
If you are wondering how to start your Data Analytics Journey, Davoy.tech would like to present you Maslow Hierarchy of Data Analytics. Step:1 Physical Need
March 8, 2021 No Comments
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If you are wondering how to start your Data Analytics Journey, Davoy.tech would like to present you Maslow Hierarchy of Data Analytics. Step:1 Physical Need
Getting started with Data Analytics Data is garage in, garage out, good data and bad data, useless data and data with value. With digitalization, data
Not all people will purchase once they see the product, this blog explains how consumer journey through the purchase decision
In questionnaires, it is very common to see the questionnaire asking you “From 1 to 5, how much would you rate…?” (1 is totally negative and 5 is totally positive or vice versa).
ome cases, you might wonder why you couldn’t get the graph or chart you wanted from your raw data. The fact is that sometimes you might need to ‘shape’ your data before visualization. This is what PowerBI is really strong at.
Thailand PDPA Law was enacted in May 2019 and is going to be effective on 27 May 2020. Here are some key highlights from the EDTA workshop.
So-called ‘Dashboards’ are heard in our analytics driven world but what exactly is dashboard and why we should do it?
The easiest way to explain your data to someone else is actually to visualize it. Data Visualization could be considered as story-telling or how to tell your story to your audiences or as analysis tool to make you understand your data better.
To be able to visualize data, there is a very useful knowledge called ‘Semiology of Graphic’ which many seems to overlook and go to what chart I should use. Semiology of Graphic deals with how we can actually play with different aspects of the chart to reflex the differences in data.
Segmentation is to split the market into different groups – each group with similar characteristics. Why do we do this? Because, STP or Segmentation, Targeting, Positioning will help the company select the right segment to target with right positioning. You could not sell your product or services to all people on earth. For example, not all people will buy fruit juices, only those who concerned about health will be interested.
With the raise of Data Analytics, the most common concept we have heard about from Marketing side of Data Analytics is ‘CLV’ and ‘CAC’. So, what are CLV and CAC?
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