Data Analytics

Data analytics is the process of examining large datasets to discover patterns, trends, and insights. It involves using techniques such as statistical analysis, machine learning, and data mining to extract valuable information from data. Data analytics is essential for understanding customer behavior, optimizing business processes, and making data-driven decisions.

Data quality, data visualization, and ethical considerations are important factors to consider in data analytics. The collection of techniques used in data analytics directly relates to the discipline of data science, and the ability to efficiently move and manage unstructured data at scale is crucial for accelerating innovation in data-driven projects.