5 reasons why everybody should learn data analytics
Could data analytics be the new coding? We certainly think so and in this article we'll look at five reasons
why data analytics is a great skill to learn.
There's no doubt about it - analytics isn't just the way of the future, it's the way of right now! Having been adopted in all sorts of different industries, you'll now find analytics being used everywhere from aviation route planning through to predictive maintenance analysis in manufacturing plants. Even industries such as retail that you might not associate with big data are getting on board, utilising analytics to improve customer loyalty and tailor unique offerings.
With such a boom in the use of analytics, having the skills required to work with data isn't just valuable - it's all but a necessity. The importance of these skills is only going to become more important in the future as more industries and businesses jump onto the bandwagon, which is why we're now seeing such a focus on data analytics during higher education. Here at SAS, we believe everybody should have the chance to learn data analytics while studying, and in this article we'll look at five reasons why.
At heart, analytics is all about solving problems.
1. Gain problem solving skills
At heart, analytics is all about solving problems. The problems just happen to be on a much larger scale than what many of us are used to - effecting entire businesses, along with the staff and customers that they serve. The ability to think analytically and approach problems in the right way is a skill that's always useful, not just in the professional world, but in everyday life as well. Venture Beat explains the value of deductive reasoning skills simply, explaining that:
"Being able to look at various pieces of data and draw a conclusion is probably the most valuable skill for any employee to have, and surprisingly it's something that's too often missing from otherwise technically advanced employees."
2. High demand
This is the obvious benefit to learning data analytics, and the one most often focused on by students in higher education. Put simply, data analysts are valuable, and with a looming skills shortage on the horizon as more and more businesses and sectors start working with big data, this value is only going to increase. In practical terms, this means graduates with analytics skills will be able to command higher salaries and enjoy their pick of the available jobs.
3. Analytics is everywhere
Aside from the financial benefits that the high demand for data analytics can provide graduates, the big data boom has also meant that there are all sorts of new opportunities cropping up for talented employees. This could be working in a variety of different industries such as aviation or government, or simply having the opportunity to travel the world. With so many organisations looking to capitalise on data to improve their processes, it's a hugely exciting time to start a career in analytics.
The opportunity to leverage insight from data has never been greater.
4. It's only becoming more important
As we've touched on, now is something of a boom time in the world of analytics. With the abundance of data available at our fingertips today, the opportunity to leverage insight from that data has never been greater. This will have a few impacts but primarily the value of data analysts will go up, creating even better job opportunities and career progression options. This makes now the perfect time to start a journey into the world of big data analytics, with many education experts pushing the topic's importance as so vital that it should be taught in secondary schools as well as higher education institutions.
This is similar to what we've seen surrounding coding in recent years, and while it may be a few years before we see data analytics as a common school subject, there's no denying how critical the discipline is likely to become in the very near future.
Your data scientist hiring guide
Ask the right interview questions and compare your candidates to our data scientists
Free data scientist hiring guide eBook
5. A range of related skills
The great thing about being an analytics specialist is that the field encompasses so much more than simply knowing how to work with data and solve problems. Yes, those are undoubtedly crucial elements, but data analysts also need to know how to communicate complex information to those without expertise. These communications skills are a vital part of any career, and with the added benefit of being a central part of an organisation's decision-making processes, analytics experts often pick up strong leadership skills as well.
Ultimately, there really isn't any doubt that analytics is going to be a huge element of enterprises in the future. Getting ahead of the curve by learning analytics now provides a pathway to success, as well as transferrable skills that can help in every facet of life.
Here at SAS, we have a range of services such as SAS Analytics U that are designed to make learning how to work with data easier. Get in touch with us today to find out more.
Recommended reading
- Article Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
- Article frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
- Article Resilience in the face of unpredictabilityUnpredictability can “shatter and reshape” a society. And in these unpredictable times, it is important to remain resilient and be prepared to bounce back. This article explores what it truly means to be resilient, how to build it, and how analytics can help you act when your resilience is tested.
- Article Saving lives during a global pandemic through medical resource optimizationCleveland Clinic is operationalizing analytics to combat COVID-19, creating innovative models that help forecast patient volume, bed capacity, medical equipment availability and more.