GPT-5’s ‘Chart Crime’ Shows Why Dashboards Need More Than AI
August 11, 2025
When OpenAI launched GPT-5, it should have been a milestone in AI innovation. Instead, within a day, users were asking for the old GPT-4o back....
Traditional BI vs. Generative BI: Understanding the shift
March 17, 2025
By integrating artificial intelligence (AI) and natural language processing (NLP), GenBI allows users to interact with data in a conversational way. Instead of waiting for analysts to generate reports, anyone, regardless of technical skill, can ask direct questions and receive instant insights. This shift removes traditional barriers, making data-driven decision-making faster, more intuitive, and more accessible to all users.
What is generative Business Intelligence (GenBI)? The future of self-service Business Intelligence
February 7, 2025
Organizations are tired. They’re tired of sifting, sorting, and interpreting data to get no real tangible insights. That’s the point of data, right? To understand why and what is happening. But it’s evident that after years of being in the industry, it’s not as easy as it should be. However, it doesn’t need to be like that. Generative Business Intelligence (GenBI) is the next exciting innovation, saving organizations from getting lost in a sea of data.
What are data insights? Definition, examples and best practices
January 20, 2025
What makes an insight unreliable? While inaccurate or incomplete data can contribute to the issue, it is not the sole factor. Human error is often a significant challenge. Even with high-quality data, if a team cannot interpret or apply it effectively, the resulting insights can lead to misguided decisions. Ultimately, reliable insights are the foundation of sound decisions, and sound decisions are the cornerstone of effective strategies. Let us examine how to transform raw data into insights that deliver tangible value.
Business intelligence vs. business analytics: Understanding the key differences
December 12, 2024
To make intelligent decisions, tackle challenges, and stay profitable, specific tools and strategies are needed to turn that data into actionable insights. That’s where business intelligence (BI) and its close relation, business analytics, come into play. These are methods for managing and interpreting data to uncover valuable insights. But how do they differ, and which is best used in different scenarios?
What is financial analytics? All you need to know
November 22, 2024
Learn how financial analytics improves decision-making, boosts efficiency, and drives strategic planning for a competitive edge in business.
Understanding the 4 key types of data: Nominal, ordinal, discrete, continuous
September 19, 2024
Data is at the heart of so many industries, from finance and healthcare to marketing and technology. It sparks innovation and helps us make smart decisions. While data has always been important, its analysis has become even more crucial in recent years, thanks to tech advancements and the huge increase in data we generate every day.
How big data is transforming the insurance industry
September 11, 2024
Big Data is revolutionizing the insurance industry by enabling brokers to uncover hidden trends, make data-driven policy decisions, assess risks with pinpoint precision, and detect fraud with unmatched accuracy.
Insurtech trends shaping the future of the industry
August 22, 2024
Insurtech, combining “insurance” and “technology,” is revolutionizing the insurance industry by boosting efficiency, enhancing customer experiences, and introducing new products. From digital-only platforms to AI-driven claims processing, Insurtech is changing how insurance is bought, sold, and managed. Delve into the top trends that are shaping the future of the industry.
Embedded analytics vs. business intelligence: What’s the difference?
August 19, 2024
Embedded analytics vs business intelligence: We describe the main differences so you can choose the best option for your organization.