A Complete Guide to Data Warehouse Training in 2024

Companies increasingly adopt cloud-based technologies for streamlined data collection, reporting, and analysis in today's business landscape. Data Warehousing is pivotal in business intelligence, helping organizations to enhance performance. It's crucial to grasp the data repository concept and its significance in the global marketplace.

Data and analytics are now indispensable assets for any business striving to maintain competitiveness. When monitoring business performance, decision-makers depend on reports, dashboards, and analytics tools to extract insights from data sourced from various channels.

What is a Data Warehouse? What are the Key Features

A data warehouse collects an organization's data and information from internal and external sources. Information is regularly extracted from internal applications like sales, marketing, finance, customer-facing applications, and external partner programs. This data is utilized for analysis by data scientists to make predictions.

Now, what exactly is a data warehouse? Initially, it is an extensive repository of current and historical information strategically crafted to enhance organizational performance.

The key features of a data warehouse include the following.

1. Subject-Oriented: The database focuses on specific topics, providing more insightful information on the subject rather than consisting of the entire business process. Topics may include marketing, promotions, glossary, etc. For instance, when analyzing a company's sales data, a dedicated sales database offers crucial insights like 'Who was the best customer last year?' or 'Who could be the best customer next year?'

2. Integrated: The data repository consolidates information from diverse sources into a standardized format. Data is stored securely and uniformly, ensuring a universally accepted naming, format, and coding repository. This integration facilitates effective data analysis.