Business intelligence (BI) involves gathering, storing, and analyzing data to help users make better business decisions. BI applications include decision support systems, reporting, online analytical processing, statistical analysis, forecasting, and data mining. BI occupies a crucial position in companies by enabling a new way of thinking to solve problems, face challenges, and see market opportunities faster than competitors. Effective BI requires addressing data issues by extracting and loading data into a data warehouse or data mart for analysis to support immediate, profitable decision making.

1. Studetns :
Issam , Graciela

2. Business intelligence (BI) is a broad category of applications and
technologies for gathering, storing, analyzing, and providing access to data
to help enterprise users make better business decisions. BI applications
include the activities of decision support systems, query and reporting,
online analytical processing (OLAP), statistical analysis, forecasting, and
data mining.
Business intelligence applications can be:
•Mission-critical and integral to an enterprise's operations or occasional to
meet a special requirement
•Enterprise-wide or local to one division, department, or project
•Centrally initiated or driven by user demand

3. The crucial position that BI occupies in a company or an organization is dramatically
increasing everyday as new competitors are rising and new inventions are made.
the need for a new way of thinking to solve problems and face challenges is essential in order
for a company to survive in the market.
Studying the most important keys for a profitable decision to be made after speculative
analysis and supported knowledge driven by information of the existing market as well as its
new structure in the short future .
An immediate decisions must be made at the moment of facing a given problem with capacity
of being able to absolutely be ready in executing it.
BI opens the eyes on the advantage of new market opportunities by seeing things faster than
Their competitors and being able to act on them.

4. To achieve the benefits of analytical competition, IT
and business experts must tackle their data issues by
Answer some questions .
Which goes through sequence of stages :
Extract information load of data ETL which is
based on saving and loading data from ODS which
stands for Operating Data store which is basically a
datawarehouse which job is to connect the source
system with the destination one , as well as not
allowing the servers to be fully saturated .

5. It is the name given to a type of data base dedicated to serve only one department
In the enterprise , a DATAMART can be fed with data from the Datawarehouse
And can also be used for analysis purposes in solving problems when found .
OLTP (On-line Transaction Processing) is characterized by a large
number of short on-line transactions (INSERT, UPDATE, DELETE). The
main emphasis for OLTP systems is put on very fast query processing,
maintaining data integrity in multi-access environments and an
effectiveness measured by number of transactions per second. In OLTP
database there is detailed and current data, and schema used to store
transactional databases is the entity model (usually 3NF).

6. OLAP (On-line Analytical Processing) is characterized by relatively low volume
of transactions. Queries are often very complex and involve aggregations. For OLAP
systems a response time is an effectiveness measure. OLAP applications are widely
used by Data Mining techniques. In OLAP database there is aggregated, historical
data, stored in multi-dimensional schemas (usually star schema).

7. Dashboards often provide at-a-glance views of KPIs relevant to a particular
objective or business process (e.g. sales, marketing, human resources, or
production).[2] The term dashboard originates from the automobile dashboard
where drivers monitor the major functions at a glance. Dashboards give signs
about a business letting you know something is wrong or something is right.
The corporate world has tried for years to come up with a solution that would
tell them if their business needed maintenance or if the temperature of their
business was running above normal. Dashboards typically are limited to show
summaries, key trends, comparisons, and exceptions. There are five Key
elements to a good dashboard:.[3]
1. Simple, communicates easily
2. Minimum distractions…it could cause confusion
3. Supports organize business with meaning and useful data
4. Applies human visual perception to visual presentation of information
5. Comforting to the eye

8. Business Intelligence is not about IT , it is about People .Improving their abilities to
make better decisions ,intercommunications and negotiation .
It happens by collecting all possible information , store them call them when need to
make a rational connections which then we call knowledge. This information gives
people the power to manage and maximize their opportunity of success .