Importance of Data Warehousing and Business Intelligence

Importance of Data Warehousing and Business
Intelligence
The One line difference between Data Warehouse and Business Intelligence
is: Data Warehousing helps you store the data while business intelligence
helps you to control the data for decision making, forecasting etc. Many of
the tool vendors who sell their products or softwares call it business
Intelligence software rather than Data warehousing software. However,
word generally associated with data warehousing is Business Intelligence.
Business Intelligence is a generic concept in which a business initiates
different operations to obtain consumer information from today, which often
involves information about its competitor.
It simplifies information discovery and analysis. In this way the company
will have a competitive advantage of business and intelligently using the

available data in strategic and effective decision making. It has the ability to
bring disparate data under one roof with a meaningful information and ready
for analysis. Dimitry Braverman has the perfect knowledge upon these two
terms. He is expert in making understand the real use of Business
intelligence, data warehouse efficiently.
So what has Data warehousing to do with Business Intelligence?
Business intelligence usually refers to the information that is available for
the enterprise to make decisions on whereas the data warehousing system is
the backend, or the infrastructural, component for achieving business
intelligence. Business intelligence also includes the insight gained from
doing data mining analysis, as well as unstructured data. In the path of Data
warehousing, all the source data from unrelated sources are used to
load/Stage data. Different sources can be flat files, another database or some
other process. In order to load into its setting, data storage can extract the
data. This is extraction. Your business requirements are different or your
business organisation is different. The demands are distinct. So the business
process has to modify the data or better word is to transform the
incoming data to meet requirements and objectives. This is called
Transformation. After, this data is ready for loading into the target tables.
This process is called Loading. In short we call this ETL.
There are lots of tools available in today's market which does help in
achieving the ETL process. Once this data is loaded in to the database, this is
ready for next processing. We call that database as Data warehouse database.
There are lot of tools/software available for reporting/analysis. Some call it
business reporting or analysis tool. But if you see the whole process has

intelligence involved in business. We can call this as Data warehousing and
the system involved from end to end is called business intelligence system.
For achieving the more information about these keywords, Dimitry
Braverman will surely help you in increasing the perfect knowledge upon
them. Dimitry Braverman also helps the businesses to let them understand
about the Business intelligence and data warehouse and why it is necessary
for them.