Big Data in Business and Healthcare

 

 

 

 How Big businesses use big data

Today we’re going to talk about how big businesses use data. The collection of data can help companies to improve on existing products.

This is an excellent example of how big businesses use data to improve product development. When a clothing retailer can analyse customer data to identify the popular style, sizes and colours among its customers, this information can inform product development decisions and ensure that the retailer produces products in high demand.

Businesses can also use big data to help understand their customers better in terms of what they want out of service, products they want to buy etc. The ways businesses do this through the use of social media, customer service interactions and online reviews. Which helps to gain a holistic view of the customer sentiment towards the company. Also, they use predictive analyses to anticipate customers’ needs and personalise their experience.

Big data can also help companies make decisions; companies and organisations do this in many ways. They are analysing data from multiple sources to gain good insights into business operations, market trends and customer behaviour. They can use data to predict risks and opportunities. Data scientists in this case, can use visualisation in a dashboard format to make data easy to understand.

 

Here are some great links about what I talk about :

https://publichealth.tulane.edu/blog/data-driven-decision-making/

https://business.adobe.com/blog/basics/customer-experience-and-big-data

 

Big data revolutionised healthcare and its impacts on the sector 

Big Data has the potential to change healthcare as we know it. With the ability to analyse vast quantities of data from multiple sources, healthcare providers can detect early warning signs, gain great insights into patients' health patterns, and identify areas for more efficient resource allocation. This could transform into improved patient care, reduced healthcare costs, and a reduction in wasted resources. The impact of Big Data on healthcare is far-reaching, from predicting epidemics to improving patients' quality of life with personalized healthcare treatments. By analysing health data patterns in patients, healthcare providers like the NHS can help identify high-risk patients and provide preventative personal care before they require emergency treatment. This can not only saves lives but also lessens the burden on emergency services and promotes a more proactive approach to healthcare. Overall, the use of Big Data in healthcare has the potential to save money for everyone while improving health outcomes. Continued investment in big data within the healthcare sector has limitless possibilities that improve the quality of life for everyone.

 

Collecting and managing personal medical data can be a daunting task for anyone, given the extreme high volume of the data involved and the need for secure storage. Unfortunately, there is a  shortage of data science professionals in the UK, which makes the task even more challenging. The scarcity of professionals means that there are not enough individuals available to analyze the data, which is an important aspect of being able to analyse and use the data collected.

 

There are many ethical concerns when it comes to collecting vast amounts of data on individuals. These concerns include issues like privacy, confidentiality, and autonomy. It Is very important to address these concerns to ensure all the data collected on individuals can be used ethically.

 

Despite these challenges, the collection of data and analysis is still crucial in improving the healthcare sector and patient outcomes. By doing so, healthcare professionals can gain insights into patient health trends, identify risk factors, and develop targeted treatment plans. Therefore, it is important to find ways to overcome the challenges that exist in collecting and managing patient data.