Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

On August 28, Alibaba's Lingyang launched its first data analysis Agent, upgrading the 'Smart Xiao Q' in QuickBI to a 'Super Data Analyst' composed of three core Agents: 'Ask Data', 'Interpret', and ...

Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a few things to do. First, because of the noise in the model, it’s ...

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

In this edition of Data Spotlight, we focus on using industry-specific data for sector analysis and how supply chain data helps understand the impact of regions on operational risk.