Accept shortcomings
Posted: Sun Dec 15, 2024 9:12 am
4. Don't be afraid of numbers
In today's world, we are inundated with numbers. If you do not consider yourself data-savvy, this can lead to misunderstandings and even number anxiety. Fortunately, interpreting numbers can be learned! When data analysts use complex techniques to analyze data, do not expect everything to be easy to explain. Data analysis often requires complex models to analyze a large amount of data. Such a black-box model does not mean that a study is not reliable, but it does mean that it is very difficult to explain in detail. The exact operation of the models is not the question you should want to answer. But try to better understand the purpose of the models and the choices or assumptions that are made in this .
This helps with the interpretation of the results. It can also help to immerse yourself in the world of numbers and data analysis. If you already have a better idea of what is and is not possible with data analysis, understanding and interpreting the numbers will also go better. A reading tip to get a better feel for this: the book Data bedrijven marketing (affiliate) by Danny Oosterveer (read the book review on Frankwatching here, ed.).
Not everything that's counted counts, and not everything that counts is counted.
Last but not least: accept shortcomings of data. With data analysis you can analyze many hypotheses and draw interesting conclusions, but remember that not everything is possible . A data new zealand telegram data analysis will never tell the whole story. It paints a picture of reality, but the picture will never be complete. Missing factors or poorly logged columns can quickly cause you to miss certain aspects of the research.
You also need to take into account a portion of missing factors that cannot be explained by the data. For example, if someone reads on the news about possible fraud by a company, this can affect their satisfaction. But this will not be reflected in your data. The fact that there are factors that are not detected in the data is not an obstacle to the results of the research. With the help of data analysis, you can find the portion of factors that do have a significant impact and can also be influenced . From here, you can now take the first steps to implement improvements by linking actions to the conclusions of the data analysis.
Bonus tip: podcast about numbers
Our psychology determines the value of numbers. What about us, the number consumer? In chapter 6 of The most listened to book ever (with this title) by journalistic platform De Correspondent , Sanne Blauw delves into the psychology behind our use of numbers. Even though others make mistakes, we are not innocent ourselves. Listen to this podcast too.
Hopefully these tips will help you on your way to becoming a 'swimming pro' in data analysis. Any questions? Ask them in the comments below.
In today's world, we are inundated with numbers. If you do not consider yourself data-savvy, this can lead to misunderstandings and even number anxiety. Fortunately, interpreting numbers can be learned! When data analysts use complex techniques to analyze data, do not expect everything to be easy to explain. Data analysis often requires complex models to analyze a large amount of data. Such a black-box model does not mean that a study is not reliable, but it does mean that it is very difficult to explain in detail. The exact operation of the models is not the question you should want to answer. But try to better understand the purpose of the models and the choices or assumptions that are made in this .
This helps with the interpretation of the results. It can also help to immerse yourself in the world of numbers and data analysis. If you already have a better idea of what is and is not possible with data analysis, understanding and interpreting the numbers will also go better. A reading tip to get a better feel for this: the book Data bedrijven marketing (affiliate) by Danny Oosterveer (read the book review on Frankwatching here, ed.).
Not everything that's counted counts, and not everything that counts is counted.
Last but not least: accept shortcomings of data. With data analysis you can analyze many hypotheses and draw interesting conclusions, but remember that not everything is possible . A data new zealand telegram data analysis will never tell the whole story. It paints a picture of reality, but the picture will never be complete. Missing factors or poorly logged columns can quickly cause you to miss certain aspects of the research.
You also need to take into account a portion of missing factors that cannot be explained by the data. For example, if someone reads on the news about possible fraud by a company, this can affect their satisfaction. But this will not be reflected in your data. The fact that there are factors that are not detected in the data is not an obstacle to the results of the research. With the help of data analysis, you can find the portion of factors that do have a significant impact and can also be influenced . From here, you can now take the first steps to implement improvements by linking actions to the conclusions of the data analysis.
Bonus tip: podcast about numbers
Our psychology determines the value of numbers. What about us, the number consumer? In chapter 6 of The most listened to book ever (with this title) by journalistic platform De Correspondent , Sanne Blauw delves into the psychology behind our use of numbers. Even though others make mistakes, we are not innocent ourselves. Listen to this podcast too.
Hopefully these tips will help you on your way to becoming a 'swimming pro' in data analysis. Any questions? Ask them in the comments below.