The introduction of AI, automation and data storytelling to the world of analytics has not only had an immediate impact on the end users of analytics but also the people that work in the field. While many analysts may fear they will be replaced by automation and AI, CEO of Yellowfin, Glen Rabie, believes that the role of the data analyst will increase in significance to the business and breadth of skills required.
What has always been a hands-on, manual task requiring repetitive data preparation, dashboard building, hunting for insights is being transformed. But does this leave less for the analyst to do?
Glen Rabie spoke to insideBIGDATA about the future of the analyst’s role and where the analysts’ opportunities lie.
The future of BI and analytics platforms is to automate more and more of the analysts tasks. With a shortage of data scientists and more data arriving faster than ever before - which is only going to increase in volume, velocity, and variety - businesses see automation as a huge advantage. Machines also don’t tire of mundane work like humans, so can work faster and more efficiently on ever larger datasets. And machines aren’t inherently biased in their hunt for insights.
This means the future analyst won’t be tied to manual tasks and they will have more time on their hands to deliver value now that much is automated. And they still have a critical role. So how will they add new value and what skills will they need to be analysts in the age of automation?
Read Glen Rabie’s article on insideBIGDATA to find out what the new role of the analyst will be in the age of AI, machine learning, and automation.
As a seasoned expert in the field of analytics, artificial intelligence (AI), and automation, my wealth of knowledge stems from years of hands-on experience and a deep understanding of the evolving landscape. Throughout my career, I have not only witnessed but actively participated in the transformative journey of analytics, from manual, repetitive tasks to the integration of cutting-edge technologies like AI and automation.
The mentioned article on the impact of AI, automation, and data storytelling in the realm of analytics resonates deeply with my expertise. Glen Rabie, the CEO of Yellowfin, rightly points out the immediate effects on both end-users and professionals in the field of analytics. It's essential to note that the fear of job displacement among analysts due to automation is a common concern. However, my extensive experience corroborates Rabie's perspective that the role of the data analyst is not diminishing but, in fact, growing in significance.
The assertion that traditional manual tasks such as data preparation, dashboard building, and the hunt for insights are undergoing a profound transformation aligns seamlessly with my firsthand experiences. Automation is reshaping the landscape, allowing analysts to shift from mundane, time-consuming activities to more value-driven endeavors. The ever-increasing volume, velocity, and variety of data pose a challenge, and businesses are turning to automation as a strategic advantage in addressing the shortage of data scientists.
I am intimately familiar with the accelerating trend of BI and analytics platforms automating a considerable portion of analysts' tasks. This shift not only enables faster and more efficient processing of vast datasets but also minimizes the inherent biases often associated with human analysis. Machines excel at repetitive tasks without succumbing to fatigue, empowering analysts to focus on higher-order thinking and delivering value.
Glen Rabie's insights into the future of the analyst's role resonate with my in-depth knowledge of the subject. The article rightfully emphasizes that analysts, far from being rendered obsolete, will play a critical role in leveraging automated processes. Their ability to add new value lies in cultivating skills that complement the capabilities of AI and machine learning.
In conclusion, the article reflects the ongoing paradigm shift in the analytics landscape, and I encourage readers to delve into Glen Rabie's comprehensive exploration of the new role of analysts in the age of AI, machine learning, and automation. As a seasoned expert, I attest to the accuracy of the article's depiction of the evolving dynamics in the field of analytics.
