Final answer:
Data in a warehouse is described as accumulative because it consolidates historical data from various operational databases across multiple fiscal periods to facilitate analysis and strategic decision-making.
Step-by-step explanation:
Data in a warehouse is accumulative because they pull data from each of operational databases for many fiscal periods. Data warehousing involves the extraction, transformation, and loading (ETL) process where data is taken from operational databases and put into a warehouse.
A warehouse holds a vast amount of historical data which is used for analysis, reporting, and making informed decisions. This data is then available for users and analysts to query and examine trends over different fiscal periods, track performance, and make strategic decisions based on long-term data.
Data in a warehouse is a collection of information that is stored and organized in a central location. It is considered 'pulled' because it is extracted or retrieved from various operational databases. This allows for the consolidation and analysis of data from different sources and time periods.