Big data lessons: 5 things COVID-19 has taught us

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As challenging as it’s been to weather the COVID-19 crisis, there are valuable big data lessons we can gain from it. Here are a few.

Big data lessons- We have learned a lot about big data in action during the COVID-19 crisis. Going forward, these lessons will make it easier for enterprises and vendors to deliver better big data projects and products.

Here are five big data lessons learned from the COVID-19 crisis:

1. Visualization is paramount

By now, most of us are very familiar with seeing COVID-19 spread maps on TV and the internet. The maps identify hot spots throughout the world and report the state of the virus state by state in the US.

These geographic pictorial maps were facilitated by placing statistical data on mapping engines, thereby combining both structured statistics and unstructured map-based visuals to create an overall result.

The maps work because we can easily relate to the geography that maps represent, as well as the statistical data on the virus that are superimposed on them. In this case, a “best case” visualization of information is being used by presenters that ensures that the messages they are communicating about COVID-19 spread, and hot spots can be easily understood by audiences.

2. Big data is an enabler

Sometimes the value of big data is not so much in the data it presents, but in the capabilities it offers.

During the COVID-19 crisis, we have seen big data play an important role as an enabler because of its ability to process video, audio, and other types of non-standard information in ways that structured data processing can’t.

A prime example is the widespread use of telemedicine that has facilitated virtual doctor appointments between home-bound patients and their healthcare providers. Businesses with home-bound employees are also using video conferencing as a means of staying in touch and conducting virtual meetings.

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Article Credit: TechRepublic