Data analytics is the process by which raw data is analyzed to reach conclusions. It all starts with the data pipeline, where data is gathered, sorted, and modeled, so it can be used for decision making. Read as Intel describes the four types of Data Analytics and examines three use cases.
Understanding data at a deep level is critical to building a successful organization. Data analytics is the process by which raw data becomes usable knowledge that can be acted on. Intel® technology works at every stage of the data pipeline to make it easier for organizations to collect and analyze data for practically any purpose.
For businesses and organizations of all kinds, transforming data into actionable intelligence can mean the difference between struggling and thriving. Maximizing the value of information requires data analytics: the process by which raw data is analyzed to reach conclusions.
While almost every organization analyzes some data, modern analytics enables an unprecedented level of understanding and insight. How far has your company gone toward a data-led, analytics-driven culture—and what’s the next step?
It all starts with the data pipeline.