American consumers don’t act and buy the way they did just a few short months ago – at least most of them don’t. The pandemic and the need for social distancing led to an upsurge in online buying. Takeout and delivery replaced, at least temporarily, dining out. Many consumers, worried about the health risks of spending time in grocery stores, turned to services that would do their shopping for them. 

Big data has emerged as one of the leading areas that people hope will give a solution in the fight against the coronavirus pandemic. This is happening at a time when professionals in healthcare and other sectors are trying to bring their heads together to identify the solution to one of the biggest pandemics of our generation. Researchers are banking on big data to help in limiting the spread of the virus even as the number confirmed cases keep rising every minute.

As the world turns to data to solve some of the world’s most perplexing problems – data science has been thrust into the spotlight. Data is manipulated, shifted, and placed into different combinations that produce results, theories, and predictions. In the past, data has been challenged and criticized for the benefit of science to guarantee that the calculations and statistics are correct.  But as governments are heightened amid Covid-19 and governments are anxious to restart the economy – data scientists in the United States are under pressure to produce positive results that show declining infection rates – even if it’s not accurate.

Big data is revolutionizing industries across the world, and one of them is healthcare. It is changing the management of diabetes and helping diabetics get better care, that is tailor-made for each one of them. With the number of people with diabetes growing significantly, the right approach to the management of diabetes is needed to control this new challenge. One in every ten people has diabetes, a number that is double that of 20 years ago. However, although the number of diabetics has nearly doubled up, most of the patients still use manual methods to test their blood sugar and inject insulin after the test like they have been doing for ages.