How the Role of Analytics and Data Visualization Tools

Thanks to the rise of AI and Machine Learning (AI and ML), we are witnessing a dramatic change in the state of business analyst market. Job advertisements for business analysts are now more likely to inquire about Programming, Computing and Problem solving skills.

Traditional business analyst skills are just a pass, and often taken for granted. In some companies, the obsolete business research and analyst skills are falling out of favor, creating a sense of panic and anxiety in certain sections of the IT and MBA communities.

In such a chaotic scenario, it’s safe to place your bet on advanced analytical skills such as AI and ML, data visualization and so on.

In this article, we would highlight the key areas in BI that are aggressively transformed with the evolution of AI ML and data visualization training abilities.

The Play of Data: Science versus Visualization

Many programmers and IT professionals are confused initially between the two specializations in data management and analytics. The confusion between data science and data visualization capabilities in your formative IT years can throw your career out of track even before you have started here.

In simple terms, data science is the specialization dealing with the interpretation of data –structured and unstructured, for deriving better insights and action-focused decision-making.

On the other hand, data visualization is the art of representation of data in the form of visually interactive dashboards, reporting tools and correlated charts. When you use AI ML in data science to automatically derive insights and convey it in the form of Computer Vision, robotic automation, machine learning algorithms, speech recognition and voice conversation, it’s more or less likely to be using data science. When these actions and their outcome can be plotted as analytics in the form of charts, bar diagrams, heat maps, pins, etc, it’s data visualization.

As a BI analyst, you would be trained in data science course for both data science and visualization.

So, what to train for in 2020-2030?

The next ten years would be excruciatingly tough on traditional IT programming and analyst skills. While most analysts would be reading from the same hymn sheet, the specially crafted Data Visualization training course would bring out the best talent who use AI ML to make intelligent connections and conclusions.

We will see the arrival of new job titles in BI market such as Chief IT Analyst, Head of BI – AI ML, Head of Programming for Business Analyst, Chief Data Designer, Head of Marketing- Data Visualization, AI Engineer for Data Science and Visualization techniques, and so on. The median salary of these professionals is pegged at ~INR 450,000 per month, depending on experience in the industry, intelligence tools and analytical skills.

If you have a keen eye for crunching numbers and data visualization, you may well find yourself gliding past the competition with a shinning career ahead. Let AI ML and data visualization do it for you today.

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