Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

"Data is the new oil," a truth the world has embraced, but Bangladesh is still learning to harness its potential. From banks ...

The main reason behind the rising popularity of data science is the incredible amount of digital data that gets stored and processed daily. Usually, this abundant data is referred to as “big data” and ...

In today’s customer-centric market, addressing customer churn is no less than a battle. It requires in-depth data-led customer insights for proactive identification of churn risks, driving timely ...