Data Driven Decision Making

 From Numbers to Knowledge 


A bird's eye view of the brain with a CPU embedded in it

The demand for data analysts and scientists is hotter than the Caribbean sun! 

And it's not just because we want to make graphs and charts that look fancy. 

No, no, my friend. We need data literacy to survive in the Information Age!


Sure, fight or flight responses helped us dodge deadly predators like marsupial lions and saber-tooth tigers back in the day, but now we must use our brains instead of our instincts. 

We have to know what the numbers are telling us, and we need to ask the right questions to find the answers we seek.

Personally, I've always been a "Why?" kind of person, and it's helped me a lot in my tech career. 

Trust me, annoying your parents and coworkers with that one-word question can be a great strategy for finding answers.

But it's not just about asking questions, we also need to know our field's jargon and what's expected in each area. 

For instance, in machine learning, we use the Mean Squared Error (MSE) to evaluate the performance of regression models. 

The MSE calculates the average of the squared differences between predicted and actual values of the model over a set of test data. 

And the lower the MSE, the better the model is at predicting the target variable.

The average person walking on the street would not know this; hence, they won't be able to make a decision on ways to increase the performance of a regression model. 

With that being said, here are three things to take into consideration when making data driven decisions:

1) Get the Right Data 

If you are thinking about buying a car and you have the option of purchasing an energy-efficient electric vehicle or a traditional gasoline guzzling car, you would collect data on the cost, driving experience and environmental impact of both cars before making a decision. 

Check out my post on Data Collection for further information. 

2) Don't Rely Solely on Your Intuition 

While your gut feelings can be useful in some decision-making scenarios, such as choosing a flavor of ice-cream, when you are making bigger decisions like choosing which gaming console you should buy from Christmas, it is best to approach it rationally. 

You would probably go on Amazon and YouTube for reviews on each product and consider your personal preferences before making your purchase. 

3) Avoid Decision Making Biases 

One of the many biases to avoid is confirmation bias, which involves seeking out information that confirms your preexisting beliefs while ignoring information that contradicts them. 

You can avoid this bias by seeking out alternative viewpoints and carefully evaluating the credibility of your information sources.


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