3 reasons why engineers should leverage data analytics

Data analytics, or the process of gathering and studying data to make informed decisions, is a necessary skill for several different types of engineers and is becoming more popular in your average workplace environment. Being in an evolving field like engineering requires lifelong learning in order to stay on top of tech trends.

“Data engineering is a job that takes a lifetime to master,” Stephanie Tam, an engineering director for Kyruus told U Ottawa. “Every year there’s something new to learn. You’re never doing the same thing year after year.” Here are the benefits of engineers staying well researched on the topic of data analytics:

1. Addressing risk assessment and management

The role of understanding potential threats to your business is essential for every business. Engineering managers play a huge role in assessing the risk in the projects they’re assigned to oversee.

To increase accuracy in predictions, most engineering managers are constantly monitoring sensor data to keep their projects on track and understand future problems. For example, many engineers are gathering data right now on how to better understand the risk of climate change and other natural or man-made disasters.

2. Increases reporting accuracy

In any mid-to-senior-level engineering role, year-over-year, quarterly and end-of-month reporting are crucial. You’ll be asked to summarize a large amount of data into analysis, informative graphics and executive summary.

When you invest in and study data that’s technology-driven, your business has a better chance of becoming more targeted and profitable in the future. Without the right data technology, you’re at risk of inaccurate data that could lead to faulty predictions and unstable business decisions.

3. Learning AI

In a world that’s focused on artificial intelligence, engineers who leverage their AI skills are in high demand. Engineers who describe their learnings on AI in job interviews are looked at as more desirable candidates.

In fact, “data preparation and engineering tasks represent over 80% of the time consumed in most AI and Machine Learning projects,” according to Cognilytica. AI is notorious for expediting the speed of creating a quality product while also rapidly predicting and resolving product issues.

If you want to stay up with the latest trends in data analytics, we recommend investing in an ACEC Utah membership. Not only will you gain access to world-class seminars and other learning opportunities, but you’ll also be able to regularly network with your peers. Visit our website to learn more about the benefits of membership.