10 Ingenious Practical Applications Of Data Analytics
Data Science is changing industries, and from healthcare to disaster management, all sectors are waking up to the significance of data analytics. But what is data analytics, exactly? And how does it help the tech giants? Data Analytics refers to collecting and examining data, which the data scientists then process to extract information. Right now, the success of companies like Facebook, Amazon and Google depends on predictive analytics and are investing more and more money to recruit data engineers and scientists.
When we broach the question, 'what is data analytics?' we must also talk about its practical approach and how it helps us and makes our lives easier. Tech professionals who acquire a data science certification are headed for a very lucrative career path, but how does data science help us who are not pros at analytics?
So, what are some of the practical applications of data analytics?
All those helpful suggestions Amazon offers whenever looking for alternate options during online shopping are mainly thanks to data science. Data analytics gives the site access to your preferences, needs, location, and purchase history and offers you items you are likely to go for. This happens when a range of data is analysed and processed to arrive at a shortlisted conclusion. This doesn't just improve the user's experience but also helps them make an informed decision, and this area primarily uses predictive analytics.
How does picture recognition work?
You might have noticed when you upload an image on Facebook that you get a suggestion to tag your friends on it. This automatic feature mainly uses an algorithm based on recognising physical characteristics. The same algorithm also applies to other types of recognition of inanimate features, perhaps. For instance, when you log into WhatsApp on your web, the barcode you need to scan also uses the same algorithm. Google also uses this algorithm to look for an image from other sources if you command it.
Data science has transformed gaming
From single-player games to interactive ones, data science has brought about incredible breakthroughs in gaming. The algorithms used by gaming companies mainly study user behaviour and history and enhance the player experience, depending on the game's purpose. For example, in single-player games, the computer, which is often your virtual opponent, examines your moves and technique to interact with you accordingly.
What impact does it have on education?
How can you work in the education field after you acquire a data analytics certification? Data science helps schools and educational organisations equip themselves with the strengths of data science by studying student preferences and assessing their needs. Data science is, of course, also convenient for evaluating their students' talents and scores.
The beneficial delivery tracking systems you check when you place an order online are mainly the work of data science. The tracking of the item from dispatch to its entire transit to its delivery time and status depends on the assimilation of data about real-time information about schedules, weather, traffic etc. Alternatively, it also helps retail companies improve their user experience as it can tell you exactly when your product will reach you.
Advertising makes use of analytics
The advertising world also uses data analytics by studying user behaviour and after studying whatever data they have. Your location, for instance, your search history, previous orders or downloads. Then, it uses algorithms to determine what ads you might like to see. This would explain the ads you stumble upon on Facebook, which show you precisely what you were searching for and other options from the same site.
Your media needs are controlled by it
Whenever you browse through Netflix, you will see it recommends movies or shows based on your previous searches. This is one of the most practical data analysis uses you'll see now. The streaming portal studies what you are watching and clicking on to recommend content that matches your interests. For instance, Netflix tells you that it recommends shows X, Y and Z because you watched a specific show in the same genre or language.
In what ways does it benefit sports?
Sports have a history of data analytics, as teams have often used analytics to prepare for major league tournaments. With help from data analytics, data is assimilated by the sports teams to prepare their players better and to equip the team against a specific team by studying the opponent's behaviour.
It has improved healthcare
Data analytics has revolutionised the world of healthcare, not just for the medical industry but also for patients. Just like hospitals and doctors have access to their patients' data and preferences and the history of their patients, people seeking medical services too have access to a sea of information when making decisions about their healthcare or their medical policies.
Banking is made easier with it
Banks collect and study the data about their customers, from their credit scores to their economic preferences. They also use data science tools to find ways to benefit their clients so that they can use more innovative policies and faster loans. It also uses the data to improve its personalised marketing services.