When it comes to Self-Service Analytics, two key features have emerged as real game-changers - Semantic Layers and LLMs. But what exactly are these and why should you, as a data enthusiast, care about them?
In today's world, data takes center stage, driving strategies, influencing outcomes. Self-Service Analytics tools makes this possible, ensuring that everyone can extract insights from data - let's look at how.
Let's talk dashboards. They've been discussed thoroughly by many data and business experts, but in this post, we'd like to share our take on them.
B2B marketing tools are everywhere today, but which ones are right for you? We've handpicked 10 different tools here that help with various aspects of marketing and hope they make your life a tiny bit easier as well.
Data reporting is an essential part of any marketer's job today. But if you aren't comfortable with math, or analysis tools, it can seem a bit overwhelming. We've put together a guide to help you navigate this world.
How sales optimization can help your team close more accounts in a faster, more efficient manner and how to choose the tools that help you do it.
Self Service Analytics could be exactly what your business needs to stay agile in times of unpredictability. Making data accessible to all functions of your organization is not just an option anymore, but could be what gives you an edge over the competition. Here's our take on it.
Veezoo was founded with the mission to make access to information as easy as just asking for it. Traditional Business Intelligence (BI) solutions have recently decided to take a similar approach, so we are now taking a look at how they compare with Veezoo.
We founded Veezoo with a core belief: "Accessing information should be as easy as just asking for it." And while this has always been our north star, it is more than just a belief - it’s a mission, a mission to fundamentally change the way organizations and individuals use, think about, and manage data.
If there is one thing we can all probably agree upon, it is that data-driven organizations, by combining the company’s historical data with the insights of employees, typically make better decisions. And this ability to make better decisions can be democratized by making the organization’s data accessible (and understandable) for everyday employees - i.e., data democratization.