What is Data and Analytics? (D&A)

Data and Analytics (D&A) refers to the practice of gathering, managing, analyzing, and interpreting data to gain insights, drive decisions, and improve performance across an organization. It includes techniques such as descriptive, diagnostic, predictive, and prescriptive analytics, utilizing advanced tools like data visualization, statistical modeling, and machine learning.

Effective use of D&A enables businesses to uncover hidden patterns, understand customer behaviors, forecast trends, and optimize processes. By embedding data-driven insights into strategic planning and daily operations, organizations improve decision-making, achieve greater efficiency, enhance competitive advantage, and accelerate growth.