The real world of data science

Data science can be used for almost anything and everything in today's world, why not? Every industry uses a faster computer to generate and collect large amounts of data every day. While data analysis is not a new idea to use complex tools, and using it as a regular business process is a new thing.

In China, last year's analysis of industry revenues was $1.27 billion, a figure that demonstrates how data science is growing exponentially. Thanks to some programming and successful tools, the daily activities of data scientists become easier and more efficient. That's why every department uses analytics to appreciate its business value.

Application of data science

Using analytics for decision making and analysing problem analysis at the right time can optimize business performance by building brand value, communicating with customers and customers, improving customer retention and satisfaction, identifying market opportunities for new products, and checking performance. innovation.

All of these benefits are obtained by the business unit through a variety of applications. Some of them are:

1. health care: from
   
    The department is using analytics to improve many medical branches. Medical imaging uses machine learning, content-based medical indexing, wavelet analysis, etc. to improve the accuracy and efficiency of texture imaging. In addition, genetic research uses it for advanced personalized medicine. Currently, virtual medical support is a new field of medicine, in which data science is heavily used.
2. Internet search engine: from
   
    Google, Ask, Bing, etc. use data science to optimize their efficiency. When anyone searches for anything, the search engine uses the algorithm to find the most appropriate result from a large amount of data in one second and present it to the user.
3. Website suggestion: from
   
    Many digital platforms [such as Amazon, Netflix, Google Play, YouTube, etc.] use it to provide a better customer experience. It uses past searches and activities as a necessity and advises users.
4. Image and speech recognition: from
   
    End users use these technologies to get a better virtual experience. Image recognition recognizes images, photos and screenshots and provides insights about them. In addition, social media platforms use image recognition to tag and search for people. Siri, Bixby, Cortana, etc. use speech recognition to understand and process the user's voice commands.
5. Route route planning: from
   
    Data science helps airlines increase occupancy and operating profit. Analysis can help airlines predict flight delays, plan flight schedules between destinations, purchase aircraft and run customer loyalty programs.
6. Fraud identification: from
   
    Financial institutions are using analytics to detect and mitigate market fraud and risk. It helps identify bad loans, venture capital, and trading and selling time. Analyze the use of customer credit models, spending history, market sentiment, etc.
7. Targeted ads: from
   
    In the field of digital marketing, digital advertising has achieved greater success than traditional advertising technology. Digital billboards to digital banners on the website are all controlled and executed based on data science insights. This is for an audience that is qualified and shows the potential of future customers.

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