Why Do We Need Data Warehousing?

If you want to get information on all the techniquesand provides basic data to different systems at
of designing, maintaining, building and retrieving data,higher levels.
Data warehousing is the ideal method. A dataHere are some of the benefits of a data
warehouse is premeditated and generated forwarehouse:o With data warehousing, you can provide
supporting the decision making process within ana common data model for different interest areas
organization. When the production databases areregardless of data's source. In this way, it becomes
copied in the warehouse, it becomes easier toeasier to report and analyze information.o Many
answer all the queries without hampering theinconsistencies are identified and resolved before
consistency of the production system.loading of information in data warehousing. This
A data warehouse is actually a set of new conceptsmakes the reporting and analyzing process simpler.o
and important tools evolved into a technology. WithThe best part of data warehousing is that the
the help of data warehousing, it becomes easy forinformation is under the control of users, so that in
an organization to counter all the problems facedcase the system gets purged over time, information
during providing key information to concerned people.can be easily and safely stored for longer time
Over the last two decades, a number of experiencesperiod.o Because of being different from operational
and technologies incorporated together to evolve thesystems, a data warehouse helps in retrieving data
new field of Data warehousing. You can say it as awithout slowing down the operational system.o Data
well organized and resourceful method of managingwarehousing enhances the value of operational
& reporting data non uniform and scatteredbusiness applications and customer relationship
sourced throughout an organization.management systems.o Data warehousing also leads
Because of hundreds of gigabytes of transactions, itto proper functioning of support system applications
is necessary for a data warehouse to be vast.like trend reports, exception reports and the actual
Therefore, "data marts" are often designed forperformance analyzing reports.
individual department or a product line. A dataPrecisely, a data warehouse system proves to be
warehouse system is an influential and necessaryhelpful in providing collective information to all its
platform for merging data from old and newusers. It is mainly created to support different
applications. You can transfer rules to a warehouseanalysis, queries that need extensive searching on a
without making much efforts. The prime features oflarger scale.
a data warehouse is that it records, collects, filters