DataGPT (Page 3)

Cultivating a Learning Culture: The Value of Continuous Growth at DataGPT

At DataGPT we believe continuous learning is an essential asset. We deeply understand the transformative power of knowledge and have focused on creating a culture that places high emphasis on learning.

Blog

7 Most Common Mistakes in Data Analytics

Avoid these costly data analytics mistakes! Learn about the 7 most common pitfalls that can hinder your insights and how to avoid them.

Blog

Key Differences Between Data, Analytics, and Insights

Understand the differences between data, analytics, and insights, to make better decisions and improve business performance.

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8 Key Data Visualization Tools in 2023

Discover the most popular data visualization tools and learn how to overcome common challenges they bring.

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Decoding Data Discovery: Essential Tools and Techniques for Business Intelligence

Explore data discovery, its significance in business intelligence, the various tools available, and how it can transform raw data into actionable insights.

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Looker vs DataGPT: A Comparison of Traditional BI and The New Era of Conversational Data Analysis.

The expertise, time, and resources required to extract insights from Looker presents considerable challenges. That's why a new category of conversational AI data analysis has emerged that can complement Looker.

Case Studies

How Plex, A Leading Streaming Provider, Reinvented Their Data Culture and Saved Their Analysts Hours of Time

By choosing DataGPT, Plex empowered their team of analysts and business users to instantly identify meaningful changes in their data and upgraded the way their business teams interact with data on a daily basis.

Thought Leadership

The Art and Science of Data Analysis, Chapter 2: Uncovering the Common Errors in Data Analysis

Data distributions can help identify patterns and trends and provide insight that is used to design and implement an effective data analysis strategy. That’s why many mistakes in data analysis start with wrong data distribution evaluation.

Thought Leadership

The Future of Data-Driven Decision Making: DataGPT vs Traditional BI Tools

Traditional BI tools such as Tableau, PowerBI, Looker, etc. are unable to keep pace with the needs of business's today. We delve into the limitations of these conventional BI tools, and unveil how DataGPT can offer your company a distinct advantage for accelerated growth.

Thought Leadership

The Art and Science of Data Analysis, Chapter 1: Deciphering Outliers - Noise or Informative?

Everyone who ever did data analysis knows how outliers can affect results. Therefore many analysts are trying to identify and remove them from the dataset.

Thought Leadership

Business Intelligence: Where it's Failing and How to Keep Up

DataGPT is a the world’s first Conversational AI Analyst. For business users, it revolutionizes data analysis by letting you talk directly with your data, delivering instant, analyst-grade insights for smarter business decisions.

Blog

5 Things You're Probably Doing Wrong with Data Analysis and How to Fix It

Every organization wants to make data-driven decisions, but if you’re anything like 76% of businesses today, you’re probably not doing a good job at it. Here’s why you may be struggling to build a data-driven organization and tips on how to fix it.