Blog Categories

Understanding the concepts of data and analytics is only a stepping stone to the benefits received from applying them correctly. So how can you leverage these technologies and methodologies to help your organization? In this section of the article, we discuss why enterprises that intend to stay relevant in the coming decade need data and analytics.

The best way to gain business knowledge is to study and analyze vast quantities of analytical data. The process and goals of data analysis may differ for different types of organizations. A manufacturing company may use data analysis to eliminate redundancies in the supply chain and streamline all of their operational processes. A logistics company may use data analysis to enhance its scheduling and routing or to enhance delivery times to cut costs and save millions. Similarly, data analysis in healthcare can help you predict patient behavior to understand what relevant action needs to be taken.

A legacy application (app) refers to any outdated technology that needs to be replaced or updated. According to a recent study, one-third of all businesses continue using legacy apps that are over a decade old. Also, one-fifth of all companies have specific applications that haven't changed for over 15 years.

There’s a lot that your workplace needs to do to prepare for IoT and automation. Enterprises need to clearly understand their business needs and how IoT and automation can give them real value. Furthermore, enterprises also need to take several security measures when incorporating IoT because the risk of a data breach is particularly high with unsecured IoT networks.

Having the right data at the right place, at the right time, can help you discover market opportunities, improve quality, speed up production or delivery, and help you outmaneuver the competition. The right data can help you do so more efficiently - thus more profitably. The problem with these seemingly simple goals is that they get a lot of lip service without driving action.

For the past couple of years, businesses across the globe have been using Azure Internet of Things (IoT) in the development of groundbreaking applications for various industries. However, ushering a successful digital transformation also means having a deep understanding of our physical world and the interactions between objects, people, and locations.

Technology continues growing at an exponential rate — and so do various technology trends. When it comes to software development, certain trends come around for a few years while some become mainstays of the developmental landscape. In some cases, it’s years before a technology trend can become mainstream — after it has been adopted by enough industries. In this article, we discuss the next big trends in software development.

In recent years, there has been an explosion of the amount of data being generated by all organizations across the globe. As such, manually handling all of the operational processes and workflow isn’t just a herculean task, it’s an impossibility. Manufacturers and businesses no longer have an option — they have to go digital.