How GenAI is Making Data Analytics Smarter and Faster Than Ever
With its ability to automate and enhance data analysis, GenAI is poised to disrupt traditional analytics practices. Dive into the world of GenAI to understand its impact on data analytics and how it’s setting new standards for data-driven success.
As the use of early computers became prominent in the 1940s, so did the use of predictive and data analytics. While initially used by governments, analytics soon became a way for organisations to understand and forecast trends and behaviour patterns.
For decades, organisations have been able to analyse data and make predictions using tools like data modelling, data mining, statistics, artificial intelligence (AI), and machine learning (ML).
If data analytics and AI have been around for a while, why does it matter? Generative AI (GenAI), apart from being the year’s catchphrase, has implications in the data analytics world.
The question now arises: how can GenAI transform the world of data analytics? With the growing volumes of data, organisations have begun using predictive analytics and data to increase profit margins and improve their competitive edge.
In addition, GenAI fundamentally alters how organisations process, analyse, and derive insights from their data. By leveraging advanced AI models, businesses can significantly enhance their analytical capabilities, streamline workflows, and unlock new opportunities for innovation and growth.
So now, GenAI in data analytics refers to the ability to analyse, visualise, and summarise business outcomes without requiring a data analyst to code each use case, translating it into dashboards or reports. But will this disrupt the field of data analytics? The answer is both yes and no.
“Yes, if you are a traditional data analyst who performs routine tasks and writes analytics code without understanding the domain and business strategy,” explained Khaishma Absar, Data Specialist at Omnix International. “No, if you have domain expertise, focus on business outcomes, and embrace Gen AI to write the codes for you, aligning them with your business goals.”
This duality means that while GenAI will disrupt traditional data analytics roles, it will also create opportunities for data analysts to evolve.
Those who adapt and leverage AI tools effectively will be in high demand, transforming into Data Analyst 2.0—professionals who blend technical proficiency with strategic insight.