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Top 7 Data Science Applications & Use Cases For Powerful Businesses

Top Data Science applications and use cases for businesses

From optimizing our search history on Amazon to providing us with the best Netflix movie recommendations, you will encounter Data Science applications all around you. Now, think of a simple application in healthcare or something in E-commerce; we are sure you will find some Data Science elements there.

So, Data Science applications are creating a buzz with their wide bandwidth of curated features. So we see that Data Science has emerged in Tech and is evolving.

Now, let us dive deep and track down some popular applications with Data Science incorporated.

From optimizing our search history on Amazon to providing us with the best Netflix movie recommendations, you will encounter Data Science in almost any application you use. Now, think of a simple application in healthcare or something in E-commerce; we are sure you will find some Data Science elements there. 

So, Data Science applications are creating a buzz with their wide bandwidth of curated features. So we see that Data Science has emerged in Tech and is evolving. 

Now, let us dive deep and track down some popular applications with Data Science incorporated.  

Data Science Applications and real-time businesses

1. Healthcare: 

One of the most vividly transforming sectors worldwide is healthcare. With Data Science bringing in a revolt, a few trends for the next decade are evident: 1) More technology, 2) Clear insights and more information, 3) innovative healthcare solutions 4) Better health for the consumers. 

Role and importance of data collection in Healthcare

 

Data science can pinpoint and predict diseases with personalized healthcare recommendations. For example, Pharmaceutical industries heavily rely on data science. Furthermore, Data Science and Machine Learning algorithms are revolutionizing the drug discovery sector. Medical Imaging, Genomics, Predictive Analytics, etc., are a few sections creating wonders in healthcare due to Data Science implementations. 

UnitedHealth Group, McKesson Corporation, Health Catalyst, Microsoft, IBM Corporation, etc., are some healthcare sectors advancing with Data Science applications.  

2. Transportation: 

Have you heard of Route optimization, Predictive Fleet Maintenance, and Real-time Vehicle tracking? Applying Data Science to logistics has incredible benefits that can change our commutation ways! 

IoT and Data Science are creating Smart Transportation in Europe -  OpenBusinessCouncil Directory

Top companies like IBM Corporation, Microsoft Corporation, Amazon Web Services, SAP SE, Oracle Corporation, Splunk Inc., Hewlett-Packard Co., etc., visibly have benefitted by implementing Data Science in their Transportation sector. 

Tracking shorter distances and consolidated shipments stand out as the best ways of making the supply chain greener to minimize the environmental impact of global sourcing.

When you get out of that Uber, you scroll down your mobile to find the cost of your commutation. Uber calculates fares automatically using street traffic data, GPS data and algorithms that make alterations based on the time of the journey. It also analyses external data like public transport routes to plan various services.

Data science applications can also optimize shipping and flying routes in real time. Isn’t that very valuable?

3. Sports: 

We had an intriguing blog on Data Visualization in Cricket. In case you have not read it yet. We recommend you go back and finish reading that one first! Check Here. 

Data Science behind IPL | Understand how Data is Leveraged in IPL

Data science can accurately evaluate athletes’ performance, and weather conditions, and analyze teams’ recent wins/losses.

Manchester United & Real Madrid are great examples of businesses widely using Data Science technology to transform their operations, performance, and fitness and forge innovative solutions to build relationships with their global fans. 

There are a number of Data Science applications that are making the sports world more data-driven and insightfully fun!

4. Government: 

Whether it is fraud detection or tax evasion, governments these days stick around data solutions and data analytics. 

Even in the field of defence, the significance of big data is massive. Furthermore, Big data analytics, machine learning algorithms, and text mining are widely applied to detect terrorist activities, witnessed on a rising front these days.  

Cybersecurity measures, as we often speak about, national security, and smarter surveillance are some of the advanced security measures for which the Government hugely relies on Data Science.  

Data Science application in Government sector

That is not all! Real-time analytics also helps Governments to produce rapid judgments under stressful conditions. 

There are more spaces where Governments rely on Data Science applications for health and human services, law enforcement, de-registered firms, etc.

5. E-commerce: 

Do you often thank Myntra for showing you the top picks specially made based on your precious purchase history?

Then you should be thanking Data Science no less! From product discovery to customer demographics & organic traffic metrics, data science sees its widespread applicability in the E-commerce field too.

Data Science permits business owners to derive value from data and make informed decisions. Data analytics in e-commerce help company owners better understand their clients, forecasting consumer behaviour patterns to increase revenue.

Data science can also automate digital ad placement.

Google, Amazon, Netflix, and Flipkart, among others, are the popular brands that are widely using Data Science.

6. Gaming:

I remember writing a blog on games to improve your Data science skills; Check here. Well, we can consider it and vice versa too. Some Data Science skills added to Data Science can enhance the gaming features and make the games more challenging. Data Science improves online gaming experiences.

Data science applications

Data-driven gaming technology assists in the identification of meaningful relationships, patterns, trends, and user behaviour models from complex data sets to guide service roadmaps. The development of automated anomaly detection systems and the continuous monitoring of their performance increase user engagement, too.

What say, wanna try some Data Science gaming today?

7. Social media: 

Have you wondered how finding friends on Facebook or Instagram is so easy? In fact, you get friend recommendations all the time, don’t you? Data science can create algorithms to trace friends of friends who could be your friends too! Fancy? Yes, it is!

Another example that you can relate to? Say you watch a set of reels today; Do you find similar reels coming up all the way for you the next day too? Yes! Another machine learning task in there!

Big Data and AI technologies are used to derive analytical insights into user behaviours.

So, that was some of the Data Science applications for you!

Oh! The list can go on to fill a book or two. The idea here was to provide you with some top glimpses of the practical use of Data Science. Well, the top businesses, you name it, would have Data Science at the core of their applications. That said, the Data Science platform has several hats with no heads filling in. If you are that data-minded geek ready to mend your way to Data Science, then most welcome you are!

Explore our Data Science course here and ace your data science career with a buzz as big as itself.

Do you have any bright Data Science applications in your mind? Why not share with us? We would be glad if you could share in the comments below!

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Author Bio

Archana
Archana
A traveler, and explorer, Archana is an active writer at GUVI. You can usually find her with a book/kindle binge-reading (with an affinity to the mystery/humor).

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