Glossary

Data analytics is important in revealing insights for informed, data-driven decision-making. It allows you to investigate trends, outliers, and hidden patterns that careful exploration will turn into valued insights. This phase can help you gain much deeper insight into their data, which is critical in making informed decisions that will drive growth and efficiency.

It also helps you ask better questions about your data, allowing you to produce more focused and effective analyses. This also enables you to explore problems related to data quality in the process: missing values, outliers, and inconsistencies, which can be corrected before further, more complex analyses can be conducted. 

Exploring data ensures that predictions are accurate, strategies are well-thought-out, and a clear picture is drawn to drive better business performance.