Automation & Business Analytics: The Challenges Faced by Professionals

In today’s world the automation doesn’t mean you need to know an automation tool rather you need to know how to automate it yourself, ie. you must know how to code. People often confuse the word automation with a tool as if they only need to learn the tool. Modern automation jobs require coding skills and that is why we will explore with real-world challenges below:

The Skill Gap

There is a tremendous skill gap when it comes to automation jobs. The expectation from the employer side is completely different than what the employees or the potential candidates has in most cases when it comes to automation. The candidates think that employers are looking for someone who knows certain tool but for employers, they’re looking for someone who not only knows the tool but also knows how to code to fill the gap what the tool doesn’t provide. The reason is simple, the tool used to be enough maybe 10 or 15 years ago where the technologies were not changing quick enough but in today’s world the technology or the tools are getting obsolete faster than ever so there is a need for people who understand the tool and has an ability to augment the feature of the tool to meet current requirement because no tool is good enough for any job.

As we are moving more and more towards data-driven automation and artificial intelligence where even the entry level job now demanding a coding skill. Take an example many years ago operational engineers, test automation engineers, system analysts, business analytics and system administrations never had to know a single piece of coding; what all they need to know was how to use a tool. And now the problem with changing technology is that these tools that they were using for decades are no longer good are these tool are still good but they do not provide the current business or technology requirement in such scenarios either they need to learn a new tool or they need to learn something which helps them to augment the feature of the tour I would call it, they have to learn to code.

Test Automation Engineers

Let’s take a simple example of a Test Automation engineers, they have been using certain automation tools to do their job. Tools such HP WinRunner, LoadRunner where you basically setup certain parameters and it will run against a certain system that will give you a pretty good result. The only problem with such tool are that they work well only with certain piece of software what if the software itself, which it tests has gone obsolete, or maybe the interface has changed completely or what about if the software interface is changing on a monthly basis, that is very challenging for any veteran Test Automation Engineer to stay up into their field because it is almost impossible for them to learn a new tool pretty much every month. In such situations how you stay competitive into the current fast-moving job market where technology is changing on a monthly if not weekly basis.

The answer is simple you must learn some or other form of coding language. By programming language, I don’t mean that you need to become a rock star Java or Python Developer, because for Test Automation needs, even with basic programming skills you can dramatically improve your day to day productivity. For example, if you know how to use request library in Python it can dramatically improve your ability to do some kind of Test automation with the rest API based service such as BigData and Hadoop testing or learning basic Java and JUnit test framework and how to integrate it with Jenkins pipeline could set you right for your Test automation career.

We are designed a course material to just address this: https://www.becloudready.com/forum/training/bigdata-test-automation-training-using-jenkins-on-cloud

Business Analysts

Another example that we see in the market for the Business Analyst, Business Intelligence role, these rules have gone through a dramatic change in pass 5 to 10 years. As with any other field the business analytics field has become increasingly data-driven and very technical in nature. Many cases organizations are looking a Business Analyst with some or other form of data background with at least some knowledge of Python. They have a very legitimate reason for asking such skills, because you cannot be a Business Analyst in today’s world if you do not understand and cannot analyze the data and when it comes to analyzing data although there are very good tools like PowerBI and Tableau.

The challenge here is before you could even analyze the data, you need to clean or wrangle is first as data is never clean and we all know nothing cleans Data more easily then Python. As mentioned earlier you don’t have to be a rock star by Apache Spark or Python developer to do data cleaning or wrangling, you need to know enough Python in order to parse a CSV file, at least, do some data exploration with Pandas and Numpy libraries to get your job going.

Our blockbuster Python course address just that: https://www.becloudready.com/forum/resources/python-for-data-analytics

Different needs for different people

The challenge is not only faced by the newbie who is entering just into the job market but also a very skilled veteran worker who has been working for decades using certain kind of tools and now at the almost end or middle of the career they find that their skills are outdated.

Another aspect of learning which is often overlooked is the training requirement for a newbie, who has just graduated from college and an experience veteran employee are quite different. In case of newbie because of lack of any industrial experience we need to have a ground-up approach where you build the theory knowledge followed by the practical, however, in case of experienced employee As they might already have curie knowledge in their training program to replace a little bit part and more and more emphasis is given on practical project experience and real-world challenges driven driven training program.

Here at beCloudReady we specialize in re-scaling program where we train experienced people who have been working for 20-30 years. Because we know re-skilling and experienced worker need different approach compared to a newbie student.