Data Warehouse Concepts

It is useful to establish exactly what data warehousing is and why data warehouse concepts are proving crucial for firms faced with growing banks of structured and unstructured data.

What is Data Warehousing?

Data warehouses contain current and historical data and acts is typically a database that consolidates information from a number of disparate data sources. Data warehouses help business to query their data to help them answer specific business questions as and when they need to. Data warehouses present information in a consistent, searchable format for business users to easily browse and consume.

Business Intelligence – A Date Warehousing component

Business intelligence is a data-warehousing component that completes a ‘decision support system’, involving the analysis of data that provides an insight into the way a business operates or the way customers behave.

Business intelligence, for example, can help firms to establish which products consumers buy together, which customers are most likely to claim on their insurance or who their marketing campaigns should be targeted.

Caserta Uses a Large Range of Data Warehouse Concepts and Methodologies

There is a range of other data warehouse concepts and methodologies including:

  • Logical data model
  • Conceptual data model
  • Physical data model
  • Star Schema
  • Data mining
  • Staging area
  • Multi-dimensional analysis
  • Snowflake schema
  • OLAP tools

Caserta Concepts’ specialists are practiced in using these concepts and data warehousing methodologies in the creation of superior data solutions for our clients.

Talk to us to find out more about data warehouse concepts and how they can be used to gain competitive advantage.