Making the digital shift has always been of key importance, but even more so in the last few months. As organizations across different verticals navigate a new landscape post-pandemic, it has become critical to reevaluate priorities and strategies for digital adoption. But enabling digital transformation requires a solid foundation, and cloud computing plays an integral role in this regard.

Across industries, the COVID-19 pandemic has made digital transformation an urgent necessity. With global calls to stay at home, businesses have gone digital, employees are working remotely, and consumers’ shopping preferences have shifted due to worries of disease transmission and the need for social distancing. In the retail world, this means catering to shifts in buying patterns, rethinking the distribution process, and transforming the sales pipeline as it is.

We are proud of our Core Team for building an interactive, live COVID-19 global report on Analance. During this challenging time, Ducen presents researchers, public health authorities, and the general public a dashboard that precisely displays key pandemic statistics at a glance. It is accurate, timely, and easy-to-digest. The pandemic data set has been consolidated to report key worldwide statistics at a single glance, including the total numbers and data added in the last 24 hours.

Advanced analytics has shaped the healthcare industry in significant ways. It has shown to impact the way healthcare is delivered and received by streamlining workflows, improving the patient experience, and lowering overall costs. Now, not only is the use of advanced analytics widespread—47% of providers are currently using the tool—but 93% of healthcare executives also consider it important to the future of their business.

The healthcare space has much to gain from adopting advanced analytics, a fact that’s becoming more and more apparent during the coronavirus pandemic. In an industry where evidence-based decision-making and proactive intervention can save lives, it has become critical to analyze massive sets of data to streamline clinical and administrative workflows, enhance diagnostic accuracy, improve patient outcomes, and even lower overall expenditures.

In hospitals around the world, ICU hospital beds and ventilators are reserved for patients—regardless of age—who are in critical condition and require mechanical support to keep their bodies functioning and to fight the onset of sepsis. This condition is a complication caused by the human body’s response to infection, and it can lead to organ failure and death, accounting for 1 in 5 deaths globally.

Streamlining patient workflows through predictive analytics can enable efficient, proactive treatment for patients at risk of sepsis. The real heroes in this pandemic are the frontliners—the medical professionals and staff risking their lives and giving their all to provide care for those who need it. They play the most crucial role of addressing pressing healthcare needs, but they’re also key to early intervention for any disease, not just COVID-19.

Analyze, identify, and treat patients at risk of sepsis-associated mortality and morbidity as a result of respiratory failure. Every few years, we are faced with strains of antibiotic resistant bacteria—SARs, Ebola, MERS, H1N1, and most recently COVID-19. Are we prepared to handle this kind of pandemic as COVID-19 will not be the last one to put a strain on the healthcare system.

With the technology today, electronic financial transactions offer a degree of convenience that simply cannot be provided by physical institutions. It’s a matter of being able to transfer money, make payments, and complete similar transactions—all without having to go to a bank or wait in line. While this brings immediacy to financial transactions, sometimes this convenience comes with a risk. The complicated nature of mobile money has the potential to compromise security.

The data science discipline has been around for quite some time now, but you may have noticed the field gaining traction in recent years. This is due to a number of factors: technology is rapidly developing, digital adoption is consistently increasing, and the amount of data available is growing in volume and complexity. All these and more have built a foundation that has made decision intelligence vital for organizations today.