Data Mining refers to a process to turn raw data into useful information. It depends on effective data collection, warehousing, and computer processing. It is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques we can use this information to increase revenues cut costs improve customer relationships reduce risks and more. This paper gives a lightning overview of data mining, its tools and techniques, challenges, advantages, and disadvantages and puts some light on the scope of data mining.