The role of data science applications didn’t evolve overnight. Thanks to faster computing and cheaper storage, we can now predict outcomes in minutes. Through the use of data science, companies have become intelligent enough to push & sell products as per customers’ profile. Here’re 5 data science applications that we can’t live without:
1. Search Engines
All search engines (including Google, Yahoo and Bing) make use of data science algorithms to deliver the best result for our searched query in fraction of seconds. Considering the fact that, Google processes more than 20 petabytes of data everyday. Had there been no data science, Google wouldn’t have been the ‘Google’ we know today.
2. Airline Route Planning
If you aren’t aware by now, the aviation industry is known to bear hefty losses. Furthermore, this is exacerbated by the high rise in air fuel prices and need to offer heavy discounts to customers. Therefore, it wasn’t for long before airline companies started using data science to identify the strategic areas of improvements. Airline companies can now:
- Predict flight delay
- Decide which airplane model to buy
- Offer a direct or layover flight
- Select cities to operate in
- Effectively drive customer loyalty programs
Southwest Airlines, Alaska Airlines are among the top companies who’ve embraced data science to bring changes in their way of working.
3. Logistics Delivery
Did you know companies such as DHL and Fedex collects tons of data using the GPS installed onto their delivery vehicles? Using data science, such logistics companies have learnt the best routes to ship, the best time to deliver and the best mode of transport to choose, resulting in cost efficiency.
4. Healthcare
The healthcare sector, especially, receives great benefits from data science applications. Read about the 4 Ways Data Science Transformed The Healthcare Industry.
5. Gaming
EA Sports, Sony and Nintendo are some of the few gaming giants who have led gaming experience to the next level using data science. Games are now designed using machine learning algorithms which improves and upgrades themselves as the player moves up to a higher level. In motion gaming such Wii, the computer analyzes your previous moves and accordingly shapes up its game.
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