If you are a doctor, and I ask about maths, you will be confused! Right?
If you are an engineer, and I ask you about biology, you will be surprised! Right?
Data and its theory might be at some point scary and confusing too! But it is not.
Let us start our discussion with a meaningful and useful definition of Data that I have understood as a Data lover.
What is Data?
Data is a meaningful collection of information to support your decision making.
But you might think, why Data carries do much of importance in the present era. Let me tell you the top 5 reasons why Data is important!
Top 5 reasons why Data is so important
Make Informed Decisions at the right time
Data is equal to knowledge. The meaningful information which we receive from Data which is fetched on the basis of previous experience, evidence, assumptions, and observations will help you make a proper decision at a proper time.
Get the expected results
When you are opting for any strategy, the result might vary. The effectiveness of any strategy can be judged from the data obtained at the end of the procedure. A few necessary changes in the procedure can lead you to the expected results.
Stop the guessing game
Guessing games can be at times worst. You may fall into a big blunder if your guess goes wrong in front of your stakeholders. Whether or not a strategy has an outcome, whether your decision is right, all this information can never be just judged on. It should always be supported with a backing of solid data.
Know what you are doing well and continue with the same approach
Data allows you to understand which strategy has resulted in a positive note and which has not. Once you know the correct strategy, you can just follow it for the betterment of your tasks.
Find solutions to your problems
Data is king! When you have a solution to any problem, it should always be backed with some data or examples. Having this situation may help you to bring the right solution to the problems you are facing.
Adding to it, I would say from my experience, industry and the world looks for qualitative work in this era and not the quantitative work. You can achieve the quality in your output only when the steps you take for the betterment are on the basis of the data i.e. information you have stored.
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