The Internet of Medical Things (IoMT) is a connected system of smart medical devices and applications that have the capability to stream and process data wirelessly in the cloud. These connected devices remotely monitor patient vitals and activities, which can then be used by medical officers to administer proactive care with personalized treatment plans through stream analytics in healthcare.

Organizations across various industries capitalize on business opportunities with the help of advanced analytics that work to capture and convert data into value-creating insights. Capturing value from data needs a disciplined focus on data quality management to ensure the organization only harnesses good data for analysis to inform decisions and drive positive outcomes. However, failure to manage data quality will impose unwanted costs, risks, and reputation damage.

In the realm of healthcare, data and reports have always played a significant role. Medical charts, electronic health records, health surveys—doctors, nurses, pharmacists, and hospital personnel have long relied on these to base their diagnosis and make their decisions. But a fast-paced industry will need more than just the basic patient intelligence and visualizations to keep up with the growing patient base and scientific demands.

What do data analysis and baking a cookie have in common? Well, aside from the fact that they both produce something valuable—one being insightful information and the other being a sweet treat—both also involve following a couple of steps before the final outcome. In the case of data analysis, there are three key tasks that need to be achieved before one can start analyzing data: data collection, data preparation, and data cleaning.

Gone are the days when marketers can simply claim that they have the leading product or service in the industry and then just hope for the best. These days, the effectiveness of marketing is maximized by focusing on the customer—planning around them, addressing their needs, and making them feel valued and heard. And incorporating data analytics in marketing is one way that businesses can discover insights into their preferences and trends to improve the customer experience.

Artificial intelligence—you’ve read about it in science fiction novels, you’ve heard tech personalities talk optimistically about it, and you’ve seen headline after headline mention its potential and benefits. As a widely discussed concept, the technology is hard to miss, but how exactly does it work and what does it mean for businesses?

When was the last time operations came to a halt due to an unplanned server downtime? Do you remember the moments when you had to work extra hours to make up for productivity loss? Well, those are the times we point fingers at the Infrastructure team for the unexpected server failures or for not being more prepared.

Customers are always expecting more and more from businesses, including financial institutions. They expect their needs to be met, their complaints heard, and their experiences optimized for their benefit. To keep up with customer demands at a pace that they expect, it has become essential to incorporate data science in banking for on-demand customer intelligence and insights. This allows for better decision-making and the capabilities to transform asset and facility management.

Ducen is pleased to announce that we have added ElasticSearch to our growing fleet of data connectors. Elastic search will be the next big thing in our group of live connectors for real time dashboarding and analysis in Analance™, our Data Science and Reporting Platform. Analance has been built to integrate and analyze data from any source and in any format, making Analance truly data agnostic.