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 ...
