DBA 627 - Automotive wholesale & distribution

Running head: DATA ANLYTICS AND BUSINESS INTELLIGENCE 1
Data Analytics and Business Intelligence
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Institution Affiliation

DATA ANLYTICS AND BUSINESS INTELLIGENCE 2
Abstract
Business analytics has become an integral part towards the success of many organizations.
Accordingly, business analytics is therefore regarded as the process of transmuting data into
activities through analysis and perceptions in the context of organizational decision
making and problem solving. As a result, business analytics is regarded as an
essential elements which offers managers with significant information for use in
predicting the future of the organization. Thus, business analytics uses a range of
methods such as descriptive analysis, predictive and perspective analysis to help in predicting
organization’s operations. The descriptive data analysis help companies in figuring out its
past, and present performance and then make decisions accordingly. On the other hand,
predictive data analysis uses to the current patterns of data so as to predict the future of the
company. Similarly, perspective data analysis make use of optimization to ascertain the
suitable alternative to maximize or minimize some of the company objectives.
Keywords: Business analytics, predictive data analysis, descriptive data analysis and
predictive data analysis.

DATA ANLYTICS AND BUSINESS INTELLIGENCE 3
Introduction
Business analytics is the study of data using operations and statistical analysis.
Therefore, business analytics calls for quantitative approaches and evidence-based data for
decision-making and business modelling (Evans, 2016). Basically, from the business and
managerial perspective, business analytics is a vital element which is used by managers to
gain knowledge regarding their organization which aid them in making insightful decisions.
As a result, business analytics provides managers with key information to predicting the
future of the organization’s sales. Consequently, all departments within an organization can
make great use of the business analytics to enhance their operations and be able to predict
their forthcoming practices. Some of these practices include predicting of customer relations,
marketing, sales, human resources, supply and financial activities.
In order to understand the collected data business analytics uses a range of methods
such as descriptive analysis, predictive and perspective analysis. The collected data can be
annual reports, sales, marketing data, and financial statements among others. Accordingly,
descriptive data analysis help companies in figuring out its past, and present performance and
then make decisions accordingly (Evans, 2016). On the other hand, predictive data analysis
uses to the current patterns of data so as to predict the future of the company. Similarly,
perspective data analysis make use of optimization to ascertain the suitable alternative to
maximize or minimize some of the company objectives. The relationship between these
business analytics approaches as well as how they help the organization during various stages
of data collection, interpretation and forecast are shown in the figure below.