Business Intelligence A1 1
Business Intelligence A1
Student’s Name
Course Name
Tutor’s Name
Institution Name
City (State)
Date
, Business Intelligence A1 2
Business Intelligence A1
Introduction
The fast changing business environment affirms the organizations to stay updated and
ready for any challenges as well as available opportunities (WORTHINGTON, 2015). Moreover,
the current global environment also moves the consumers and government decisions influencing
the decision-making process adopted by the organizations. In such an environment business can
be adaptive, reactive, anticipative or proactive to the environment regarding the future
expectations. However, to meet the suitable business needs, a high percentage of the
organizations use a computer based system which generates abundant data (GUPTA, 2010).
Afterward, the data captured is utilized by businesses in order to make informed decisions.
Altogether, the business architecture combines the analytics, data warehousing, performance, and
user-interface. As well, data management architecture brings together three key components,
namely, warehouse, Data Lake, and data mat.
Data Warehousing
First, data warehousing is defined as the process of accepting raw data, processing it into
useful information and later presenting it to the businesses (INMON, 2016). Eventually, the
businesses use the information to make firm decisions. Moreover, a data warehouse can also be
termed as a subject based collection of long-term data that varies according to business decisions
(MOHANIA, 2014). Precisely, a data warehouse is a system subject to capturing, reporting, and
analyzing data.
Business Intelligence A1
Student’s Name
Course Name
Tutor’s Name
Institution Name
City (State)
Date
, Business Intelligence A1 2
Business Intelligence A1
Introduction
The fast changing business environment affirms the organizations to stay updated and
ready for any challenges as well as available opportunities (WORTHINGTON, 2015). Moreover,
the current global environment also moves the consumers and government decisions influencing
the decision-making process adopted by the organizations. In such an environment business can
be adaptive, reactive, anticipative or proactive to the environment regarding the future
expectations. However, to meet the suitable business needs, a high percentage of the
organizations use a computer based system which generates abundant data (GUPTA, 2010).
Afterward, the data captured is utilized by businesses in order to make informed decisions.
Altogether, the business architecture combines the analytics, data warehousing, performance, and
user-interface. As well, data management architecture brings together three key components,
namely, warehouse, Data Lake, and data mat.
Data Warehousing
First, data warehousing is defined as the process of accepting raw data, processing it into
useful information and later presenting it to the businesses (INMON, 2016). Eventually, the
businesses use the information to make firm decisions. Moreover, a data warehouse can also be
termed as a subject based collection of long-term data that varies according to business decisions
(MOHANIA, 2014). Precisely, a data warehouse is a system subject to capturing, reporting, and
analyzing data.
