R is a programming language and software environment for performing advanced data mining and segmentation tasks like clustering, classification, and regression. Python is a programming language ...

But how can businesses segment their customers effectively and efficiently, especially when they have large and complex datasets? This is where data mining algorithms can help. Data mining is the ...

In this week’s article, we will start diving into the benefits of data segmentation and how it addresses privacy concerns. This is a 2-week article largely due to reading time and convenience. I’m ...

The technique of customer segmentation is dependent on several key differentiators that divide customers into groups to be targeted. Data related to demographics, geography, economic status as well as ...

In other words, taking advantage of better data enables better customer segmentation. Average is not good enough When it comes to better data, you want quality over quantity. I believe in the 80/ ...

Network segmentation tackles the realities of today’s cybersecurity environment, where it’s critical to isolate any cyber breach that affects your company’s data, infrastructure, or networks.

In the never-ending quest to find a competitive edge, marketers have had to dig deeper into their data and leverage insights creatively. In this sense, behavioral segmentation has provided the key.

We show that for ordered data (e.g., single curves or trajectories) the global optimum segmentation can be found by dynamic programming. The approach is easily extended to handle different segment ...

This week, I’m continuing my topic on data segmentation, concluding with the additional benefits and how it enhances regulatory compliance, anonymization, data sharing, incident response, and trust, ...