Over the last two decades, the U.S. has been plagued with high rates of prescription drug overdose. About 142 American citizens die every day from drug overdoses, many of which are caused by prescription medications obtained legally. Additionally, the number of opioids prescribed as of 2015 is three times as high as the number of prescriptions given out in 1999. Due to these staggering statistics, doctors and data scientists are working towards using predictive analytics to reduce the number of prescription drug overdoses.
Hundreds of hospitals and other healthcare organizations have started to realize the benefits of custom software development. After all, generic healthcare software is incapable of handling the demands of a modern organization, and they create operational inefficiencies that slow companies down.
In 2018, the national per capita healthcare expenditure in the U.S. is projected to be about $11,193. This number has been steadily growing over the years. What’s most alarming about this figure is that it’s double what other ‘rich’ countries are spending per person. Surprisingly, this high expenditure does not come with better health outcomes and hospital revenues have plateaued.
With supply chains becoming larger and more complex, it is becoming more difficult to improve service through a reduced order-cycle time while enhancing inventory availability and reducing operating costs at the same time. Big data is revolutionizing the optimization of supply chain and inventory management by improving visibility. It is telling a compelling story that is making leaders listen. Companies that have adopted predictive analysis see up to a 50% reduction in non-performing inventory and a 25% reduction in inventory holding costs, thus freeing up working capital.
Machine learning (ML) is one of the most powerful tools in today’s professional world. The technology consists of algorithms that allow devices to learn patterns and trends from large datasets. Then, a company can leverage an ML mobile app that uses this data to develop valuable business insights.
Have you ever gotten caught up on Facebook clicking one after another on the videos and articles it throws up on your page? Or possibly on Amazon where you end up buying something you didn’t even know you needed 10 minutes ago? Many online sites are using predictive analysis to target and retain customers by creating personalized content for them.
The enterprise software development process is complex because the developer must understand an enterprise’s needs from top to bottom. Such an application should contain functionalities that enhance the lives of the company’s employees and solve problems across the organization. The software may have tools to improve the role of salespeople, streamline communication, reduce inefficiencies in the finance department and more.
Despite the introduction of more secure chip technology, credit card fraud is still one of the biggest concerns of banks and credit card companies. After all, fraudsters continually change their tactics to get around any security measures that are put in place. A recent Nilson report projects that global total loss due to credit card scams and fraud will be a whopping $32.96 billion by 2021. Many financial companies are now looking at predictive analysis to see if they can depress these numbers.
Selecting a system integration services provider is an important decision, as you will want to work with a company that can deliver the highest quality work possible. System integration refers to the process of unifying digital components into a single system, updating outdated legacy systems and transferring systems to the cloud.
The app design process requires both technical expertise and creativity. Naturally, functionality is the most important part of the app design, but you can still highlight key features by using certain colors to represent different actions or to draw attention to important buttons. In this way, the color scheme you select for your user interface (UI) design can have a big impact on user experience (UX).