Data Mining - Data Mining Concepts and Applications

5 important questions on Data Mining - Data Mining Concepts and Applications

On which factors does succes of companies that employ analytical decision making depend?

Very good understanding of its customers, vendors, business processes and supply chain.

What is an important source for understanding the customer?

The analysis of the vast amount of data a company collects.

Why did data mining suddenly gain popularity in the business world?

  • More intense competition at a global scale
  • Recognition of the potential value hidden in data
  • A single view of the customer, vendor, transaction by integration of data
  • Consolidation of databases in data warehouses
  • Improved data processing and storage technologies
  • Reduced storage and processing cost
  • Movement toward de-massification
  • Higher grades + faster learning
  • Never study anything twice
  • 100% sure, 100% understanding
Discover Study Smart

Data mining could better be called what? Why?

Knowledge mining or knowledge discovery because the mining analogy would imply that data mining aims at the dirt instead of at the gold.

What is data mining in the technical sense?

A process that uses statistical, mathematical and artificial intelligence techniques to extract useful information and patterns (business rules, affinities, correlations, trends, prediction models) from large sets of data.

The question on the page originate from the summary of the following study material:

  • A unique study and practice tool
  • Never study anything twice again
  • Get the grades you hope for
  • 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
Trustpilot Logo