Service Description

Data Analytics is the process of examining, cleaning, transforming, and interpreting raw data to uncover meaningful patterns, trends, and insights that support decision-making. It involves techniques such as descriptive analytics (summarizing past data), diagnostic analytics (identifying causes of outcomes), predictive analytics (forecasting future trends), and prescriptive analytics (recommending actions). Tools like Excel, Python, R, and specialized platforms like Power BI and Tableau are commonly used. Data analytics plays a critical role in industries such as finance, healthcare, marketing, and supply chain management, helping organizations make data-driven decisions to improve efficiency and achieve strategic goals.