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Data warehousing and Data mining - Coggle Diagram
Data warehousing and
Data mining
Data mining is the process of finding anomalies, patterns, and correlations in large data sets to predict outcomes.
Why is data mining important?
Understand what is relevant and then make good use of that information to assess likely outcomes.
Accelerate the pace of making informed decisions.
Filter out all the chaotic and repetitive noise in your data.
Who uses it?
Data mining lies at the heart of analytical efforts in various industries and disciplines:
Retail
Communications
Banks
Insurance
Manufacture
Education
A data warehousing is a unified repository for all the data collected by the various systems of a company.
The importance of the cloud for the data warehouse is directly linked to three key factors:
Better cost control
Co-location
Increased agility
Main advantages to move a data warehouse to the cloud:
Faster monetization of data in the cloud
The cloud offers better protection
Easier consolidation and rationalization
Which enables?
Enables business executives to organize, understand, and use their data to make strategic decisions.
