AI has reshaped the analytics stack. What used to require dashboards, manual queries, or days of back-and-forth now happens through simple natural language interaction. Still, not all AI analytics tools work the same way, and some are far more useful for ...
No, the problem is not the budget. It’s not a lack of collaboration. Your marketing team is certainly creative and good at what they do. But there’s about a 1 in 3 chance that they don’t have the analytical skills they need in a data-whelmed world. ...
It is safe to say that most people still have very little knowledge or experience with GenAI. Which leaves us with the task to find good resources that can quickly upskill the team with the right information. I recently pulled together a list of 12 onlin ...
Does “data culture” matter? We polled 300 leaders across business functions and 77% said yes, 18% said no, and the remaining 5% said it was not clear. Of the 77%, they said it has a direct impact on their strategic goals. What is the power o ...
Does it seem like 2024 is starting with more uncertainty compared to previous years? Charts like FRED certainly support that feeling. Economic fluctuations, policy shifts, and geopolitical events dominate headlines, making it crucial for organizations to ...
Your startup is scaling and with the incoming amount of complex and diverse data, you need a team that can find the nuggets of wisdom that can help your startup reach the heights it’s meant to reach. The question is, how do you find the right data talent ...
In digital transformation, the most challenging thing to do is scale. That's where data analytics process comes in. According to a McKinsey survey*, fewer than 28% successfully scale and achieve full business impact. About 14% stall in their pilot phase, ...
The role of data in business The benefits of using data correctly Best practice for handling data The role of data in business Data is important in business, and it can help you make better decisions that lead to more success. However, like ...
There are a lot of talks these days about Auto Machine Learning but does it really powerful enough to eliminate the need for hiring Data Scientists? Some companies believe that they don't actually need data scientists at all - they can instead use auto-ML ...
Machine learning holds the key to solving many industry problems currently, but it's not the only tool for the future. As long as you have simple techniques for a problem that you're solving, machine learning is not necessary. This is important to know be ...
Driving a car without knowing the direction does not make any sense. We will not reach where we want to go. We need to have the right information about the trip so that the journey can be planned accordingly. Imagine running out of gas just because you di ...
Analysts and data scientists can face many hurdles in their work, especially when starting a new project. One such problem is working with such a large amount of data that you lose track of the goal. This happens with data scientists/analysts a lot. And i ...
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