Generative AI Data AnalyticsIn the past, the world of Data Analysis was very complex and time-consuming. Data Analysts and Software Engineers had to spend endless hours writing Code to capture Raw Data and make it Ready for Data Analytics. 

The process of Data Engineering and Visualization was manual and slow with Traditional BI tools which often left Business Users and Decision-Makers waiting for weeks or even months to get the appropriate Data and Reports they needed to make the right Decision which results in Data-Deprived Decision-Making in many organizations.

But today, there’s a powerful technology changing the process of Data Analytics: Generative AI

Generative AI is the future, where anyone in the Organization regardless of their designation or coding skills, can perform complex Data engineering and Visualization tasks. 

Let’s explore how Generative AI is reshaping the world of Data Analytics and how it’s making Data ally to progress.

The Past: Manual and Slow Data Analysis

In the past, when Business Users wanted to make sense of Data, they had to rely on Software Engineers and Data Analyst to write complicated Code to do the job. 

Imagine writing long and complex Code to Capture, Clean, and Analyze Data. This manual coding process requires a lot of effort, and time, and is often full of errors, making Data Analysis a very challenging task for the Organization.

Moreover, as the volume of Data increases, the existing code in the system struggles to keep up with the process. This slows down the process of Data Analysis and often leads to delayed Decision-Making, which could be cumbersome to businesses.

The Present: Generative AI Empowers Everyone

With Generative AI, the world of Data Analysis has fully transformed. Generative AI enables anyone in the organization, regardless of their technical expertise, to perform complex Data Engineering and Visualization tasks without writing a single line of Code.

This shift from manual to automated processes is a game-changer for Enterprises. Now, Business Users and Decision-Makers no longer need to wait endlessly for Data or Dashboards. They can access real-time insights, make informed decisions, and adapt quickly to changes. 

Generative AI has Democratized Data Analysis, making it accessible to all the Stakeholders or Departments of Marketing/Sales/Finance/Operations, etc. within an organization.


Generative AI Data Analytics Future

The Future: Data-Driven Decision-Making Redefined

The future of Data Analysis is Code-Free, and Gen AI is leading the way. Imagine a world where time and resources are saved, where Data becomes an ally of progress rather than a hindrance. 

Generative AI is not just a technology; it’s a transformation that nurtures organizations with the new era of Data-Driven Decision-Making. 

It also offers countless benefits in the field of Data Analytics that can significantly enhance Decision-Making and Data-Driven Insights within an Organization. Here are some benefits of Generative AI:

Automated Data Processing

Generative AI automates Data Capturing, Transformation, and Loading, as well as Data Visualization. It eliminates the dependency on Skilled programmers to write Code for Data Analysis which saves time and minimizes human error.

Improved Data Visualization

Generative AI can create visually appealing representations of Data (dashboards, charts, or reports), making it easier for Business Users, Stakeholders, or Decision-Makers to understand complex trends and patterns, ultimately enabling Better Decision-Making.

Time Efficiency

By automating Data pre processing and other code-driven tasks, speeds up the Data Analysis process, allowing Data Scientists and Analysts to focus on other valuable tasks.

Cost Reduction

Generative AI reduces the need for manual Data collection and exploration, saving resources and lowering the cost of Data Analytics Projects.

Privacy Preservation

Data generated by Generative AI can be used for testing and analysis without risking the exposure of sensitive Data, ensuring Data Privacy and Compliance with regulations.

Introducing NewFangled’s PolusAI: A Generative AI-driven Analytics Platform

NewFangled has invented PolusAI, which is the future of Data Analytics. PolusAI is a Generative AI-driven Data Analytics Platform that gives machines a brain to generate Code for complex Data Analytics Processes, all without any technical knowledge.

PolusAI’s Generative AI engine is like having a personal Data Scientist. It selects the right libraries from an extensive ecosystem and automatically generates the necessary Code based on Business Use Cases, Data Sources, Volume, Storage, and available resources. 


It’s like a super-smart technology that does all the heavy lifting for you. PolusAI is from the future to change the Data Analysis process. It not only saves time and resources but also empowers organizations to harness the full power of their Data for better Decision-Making.


Generative AI is reshaping the future of Data Analytics, making it accessible to everyone in the organization. The transformational approach of NewFangled’s PolusAI redefines the way enterprises Analyze and Visualize the Data. 

With PolusAI, the future of Data-Driven Decision-Making looks brighter than ever before, and we’re on the cusp of an exciting new era in Data Analytics.

Apoorva Verma

Apoorva is a passionate and driven individual who accidentally found her interest in Business Intelligence and Data Analysis while studying Travel and Tourism. Despite her first love for being Content Writer and Blogger, she now creates compelling content on NLP-driven decision-making and a No-Code Data Platform that influences businesses. Her commitment to making Data accessible and Democratized for everyone has led her to work with NewFangled Vision on NLP-based Conversational Driven Data Analysis.

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