ERP’s evolution in 2018

ERP’s evolution in 2018

As computing workloads become ever more demanding, organizations need to find more efficient ways to manage their core business processes. That’s why enterprise resource management software has become essential for almost any company that has graduated from the startup phase.

ERP solutions offer an integrated approach to corporate IT that’s mediated by real-time analytics and modern, cloud-based software. Far from being a single business management tool, modern ERP systems have become highly versatile suites consisting of multiple modules.

Companies Will Continue to Adopt Cloud-Based ERP Modules

Traditionally, enterprise resource planning took the form of complex and integrated platforms stored locally on a business’s servers. For many large enterprises, that’s still the norm, but the on-premises approach simply isn’t practical nor desirable for smaller organizations with limited resources.

Software-as-a-service (SaaS) platforms are now very much the mainstream for most businesses, since they reduce the need for major upfront investments and ongoing maintenance requirements. Although larger enterprises will likely continue to rely on their own proprietary systems for the time being, smaller organizations will become increasingly reliant on cloud-based implementations.

Companies that have invested heavily in their own on-premises ERP solutions will find themselves under increasing pressure to migrate their operations to the cloud over the coming years. Nonetheless, due to the many complexities involved, it’s unlikely that full cloud implementations will happen quickly. Instead, companies wanting to add more features into the mix will likely complement their existing infrastructure with cloud-based modules rather than abandoning their current systems entirely.

Artificial Intelligence Will Play an Increasingly Important Role

Artificial intelligence and automation are among the biggest trends in the world of enterprise computing, and with good reason, too. As data sets become increasingly enormous and harder to manage using manual methods alone, ERP vendors are turning more to AI and machine learning to provide their customers with actionable, real-time information.

AI-powered ERP platforms provide greater interaction between businesses and their customers by predicting future trends and outcomes automatically. With the ability to learn from things like past purchases, support requests, and a multitude of other variables, machine learning helps facilitate constant improvement. At the same time, the reduced risk of human error and the streamlining of many everyday operations helps improve efficiency and free up man hours that may be better spent on more productive tasks.

In-Memory Computing Will Improve Performance

As data sets continue to grow exponentially, it is becoming increasingly important for businesses to upgrade their underlying infrastructure to process all those ones and zeros and turn them into actionable insights. That’s another reason why businesses are migrating to the cloud rather than relying on dated on-premises systems that will need to have regular costly upgrades to keep up.

In-memory computing is another new technology designed to improve the capturing of real-time data and, therefore, greatly improve performance. The approach lets you store data in memory rather than on a hard drive, which makes it possible to analyze large data sets dozens of times faster. Over the coming years, we can expect to see in-memory computing play an increasingly important role in ERP solutions.

ERP and the Internet of Things

The days of ubiquitous computing are here. That’s why ERP systems have moved beyond the boundaries of in-house servers to provide critical functionality across an increasingly wide range of connected devices.
More devices being connected to the internet means potentially more data to feed into the ERP system. After all, one of the main purposes of IoT technology in the enterprise is to capture data, such as real-time performance statistics straight from the production floor. The ability to funnel this data through a machine-learning-driven ERP system will present businesses with many new opportunities.

At White Owl, we live and breathe enterprise resource management. That’s how we help companies like yours with modern computing infrastructures that enable future growth and unprecedented flexibility. Connect with us today to find out more.