Nobody needs to be told that data is becoming more complex. Every user realises that all forms of information are becoming richer, faster and more fine-grained. These truths of course mean that ...

The Cross-Industry Standard Process for Data Mining, better known as CRISP-DM, has been around for more than a decade, and it’s by far the most widely-used analytics process standard.It’s an ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results.

AI data analytics software can process and analyze massive and complex datasets. The tools can handle structured, unstructured, and semi-structured data, extracting insights and patterns from ...

The total volume of data in the world has grown exponentially in recent years. We explore the developments behind this ...

Companies are scrambling right now to respond to a rapidly changing context, and they’re using data to navigate the necessary transformations. But too often, they’ve failed to make needed ...

In following this process, you can have a better idea of how to reap the benefits of big data analytics in your own work life and business. 1. Identify the area and gather large-scale data ...

Excel is a versatile and powerful tool for data analysis, offering a range of features that simplify complex tasks. Among its most valuable capabilities are its logical functions, which are rooted ...

De Rozairo has briefed SearchDataManagement.co.UK on two occasions this year about data warehousing and “big data” analytics.What follows is an edited version of those conversations.