Data Mining is the practice of using a wide range of algorithms to search and analyze large stores of data to predict trends and patterns that can influence the outcomes. You can use this data to mitigate risks, increase revenue, capitalize on new opportunities and improve customer relationships by using a broad range of techniques.
High-quality data is one of the greatest drivers of revenue for a modern business in this era of digital disruption. Data-driven companies are highly dependent on the latest technologies and artificial intelligence to be able to process and get the best out of their data assets.
Data Lake is a system where we can store unstructured and structured data and also a method helpful in organizing huge volumes of diverse data from multiple sources.
Reference data is the subset of the master data which is used for data classification and is the most shared class of data in an entire organization.