Big data analysis is proving to be highly beneficial to businesses. The patterns are beneficial to business practice and can improve the efficiency and effectiveness of managing disasters and emergencies in organizations. Thanks to the availability of mobile devices such as smartphones, disasters can be measured in real-time and information relayed to people for rapid, efficient and accurate response. The use of big data to predict and help with disaster relief comes after centuries of struggle. Therefore, agencies can respond to disasters quickly and effectively by adopting and analyzing big data. Here are some ways that big data is helping in disaster relief.

The healthcare industry has come a long way. From the time when herbal and indigenous medicine was everything we had to the modern era where the use of modern technologies characterizes treatments. Technology has led to the introduction of concepts like telemedicine, electronic registers and records, the use of robots and enhanced medical imaging. One thing is visible in these technologies – the use of data to inform decisions. Big data has revolutionized the healthcare industry- helping save countless lives, reduce costs and enhance the efficiency of operations. All we can say is that healthcare patients benefit substantially from big data. Although the global pandemic has accelerated the adoption of digital technologies in healthcare, especially big data and analytics, it also exposed the industry and its weaknesses. Here are some key benefits of big data and analytics in healthcare and some applications.

Big data has a massive potential to revolutionize businesses by offering business intelligence. However, big data is often incomplete, incorrect, unsegmented, or poorly categorized. This prevents companies from taking advantage of data from different sources to deliver good customer service and implement strategies. Amid the competitive clutter in the business world, having the right insight can propel your company to the top and give it a competitive advantage. Taking advantage of big data to improve decision-making is easier said than done. While big data analytics is a good thing, it sometimes becomes costly. This calls for approaches to eliminate costs associated with gathering, accessing, sorting and analyzing data. Finding the right ways to collect and process information enables streamlining production, sales and customer service. To ensure big data analytics does what is intended, the cost needs to be minimized as much as possible; here are ways to cut down the costs of your big data efforts.