Since Data Analytics as a field has been pretty much talked about lately, there is hardly anyone who isn’t aware of its relevance in the present-day world.
However, the areas where it is being used currently remain largely unrecognised, and its potential remains highly underestimated.
Whenever we think about the applications of Data Analytics, how many scenarios can we enumerate?
OTT platforms suggest shows according to our taste, companies come up with new product suggestions, and Google shows us quite accurate search results. That’s it.
We might be aware of the industries in which Data Analytics plays a crucial role. But, can we exactly describe this role?
Take the example of the healthcare industry. Data Analysts look at clinic attendance data to help hospitals and doctors predict when rush hours will hit so they can be ready for them.
Your local city hospital is a great example. Let’s say there have been complaints about long wait times making it difficult for patients to get the care they need. So Data Analysts use data about the hospital’s daily foot traffic to facilitate more informed decisions regarding how many doctors are needed on staff at any given time.
This leads to a reduction in wait times, improves patients’ experiences and makes better use of healthcare workers’ time too.
Take the case of one city zoo.
The City Zoo and Aquarium realised that on rainy days they were seeing huge drop-offs in attendance, but they had no way to accurately predict when those rainy days would hit.
This made staffing a real challenge. Some days they were overstaffed, and on other days they were unprepared for the rush of visitors.
As a solution, Data Analysts took years of weather records from the zoo and used that data to make accurate future weather predictions.
This made it easy for the zoo to estimate how much staff they would need and when.
Because the zoo could predict and manage its staffing needs more accurately, they were able to provide a better experience for visitors and dedicate more resources to creating a better experience for the animals too.
Thus, it can be concluded that Data Analysts aren’t only leveraged by top-notch companies and trending industries. Small businesses everywhere are also taking advantage of data-driven insights to better understand their customers’ buying habits, create more effective social media messaging, etc., to improve their operations and make better decisions.
This blog aims to provide a comprehensive understanding of the roles and responsibilities of a Data Analyst, the skills that they need to acquire, and how they can acquire those skills.
By the end of this article, you will have a crystal-clear picture of how to get started in this field, which makes you an asset to the company you will be joining in the future.