The role of the data analyst is to solve problems using data analytics and statistical models, but for a business intelligence analyst the role is to discover business-specific insights.

What is the difference between data mining and data science? Data mining is a critical component of data science, a broader field encompassing various techniques and practices for analyzing and ...

However, that doesn't mean that you should forget about Data Mining and divert your entire analytics budget to Predictive Analytics. I'll explain why in another blog post in future.

Before marketers commit to and execute their AI strategy, they need to understand the opportunity and difference between data analytics, predictive analytics and AI machine learning.

Data Science and Data Analytics are the buzzwords in the job market today. But most of the people due to their sharing of similar word “data” often assume that these two fields are similar and ...

Deriving inferential statistics from recurrence plots: A recurrence-based test of differences between sample distributions and its comparison to the two-sample Kolmogorov-Smirnov test.

However, there are some fundamental differences between these concepts in scope and function. BI is an overarching framework for analytics and AI.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

There are many similarities between data migration and data integration, but they also have some key differences. Learn what they are.