Application of big data techniques to a problem

 Big Data examples in Health care


With a variety of data analytics tools and methods, healthcare analysts use big data to inform health prevention, intervention and management. Efforts such as these can help enhance the patient experience, improve efficiency and quality of care and lower healthcare costs. Big data analytics for healthcare makes it possible to get a more complete picture of something to make smarter decisions.


Big data in healthcare can benefit patients and providers alike in many different ways. Here are just a few other big data examples in healthcare: 

Patient outcomes. Big data can be used in healthcare to identify individual and community trends and develop better treatment plans or predict at-risk patients. 

Staffing and operations. Healthcare analytics can use big data to forecast patient admissions trends at specific times of the day and schedule the right number of staff during peak or slow periods. 

Product development. Big data in healthcare can help drive innovation and reduce the time it takes to bring a new product, such as prescription meds, to market.


Big Data in marketing.


Big Data can be understood by any data expert and can provide really insightful conclusions hence derived which can be implemented in the marketing strategies and processes to get the maximum output from them. 


1. Optimizing Prices: Big Data can enable the companies to have the details about the price of the competitors and inflation rates over the years, also this can help the companies understand the purchasing power of the users of the brand so that they can subtly stick to that without incurring any losses


2. Build better customer relationships: Knowing the customer and
their preferences can enable the marketing team to understand the decision-making of the customer before choosing any particular brand. This can enable the marketing team to make the customer journey suitable and smooth. 



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