Single source of truth
Decision makers know that using data in a right way means staying competitive on a market. Data Warehouse is a subject oriented, integrated, time variant, non-volatile collection of data, which provides company with one version of truth. It is key component of Business Intelligence, hence Data Warehouse represent source for data analysis and data reporting.
Data Warehouse captures relational data from line of business applications and transactional systems. Meaning, that data is generated during execution of company’s operations at various business levels, such as financial transactions, retail sales, order management and other.
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The four main characteristics of Data Warehouse:
It is centralized data repository, which holds data from all organizational sectors. It groups multiple data sources or databases in one place with standardized interface for accessing and reporting.
Data is stored and categorized by business topics, such as products, marketing, customers, production and other.
Mostly, data is only added in Data Warehouse. It is almost never deleted or modified. Data Warehouse only grows in time.
Data Warehouse stores all past data that is generated during business processes, so it supports data analysis of past data (previous week, month, quartal, year), while adding data that arrive daily. That way it keeps the history of the data.
As technologies evolve and new models of storing data appears, these days most companies are integrating Data Lakes with their Data Warehouse solution, as this integration enable diverse query capabilities, data science use-cases, and advanced capabilities for discovering new information models.