Aveda Institute New York Business Intelligence and Big Data Analysis Paper

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qnenav124

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Aveda Institute New York

Description

Write a very short summary of Business Intelligence and the impact Big Data analysis has had on those more traditional BI implementations. Then, perform a review of recommended future research approaches involving Big Data and the Business Intelligence cycle, BI software, and BI implementations.

Requirements for this paper are standard:

•3-5 pages of content not including title and reference page

•Please use the attached APA template.

•The background on the overall concept of BI and BD should be a few sentences, focus on future research recommendations

•3-5 references from academic journal articles and reputable practitioner sources

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Explanation & Answer

Attached.

Running head: BIG DATA AND BUSINESS INTELLIGENCE

Business Intelligence and Big Data Analysis
Your Name (First M. Last)
Course # and Name
University of the Cumberlands, Williamsburg, KY

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BIG DATA AND BUSINESS INTELLIGENCE

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Business Intelligence and Big Data Analytics
Contemporary enterprises embrace business intelligence and big data analytics to solve
the critical problems that buffet them. It is an important area of study that has changed the
magnitude of decision making in organizations. The transformation of raw data into visuals that
gets easy to read through a discovery of patterns comes with the concepts embedded in BI and
BDA (Mariani et al. 2018). The proficiency of identifying where organizations tend to fail to get
realized, and actions on such positions get considered based on the defined topic. The
significance of these motives is that they improve the traditional BI implementation strategies
that provide data without the disposition of indicating any discovery of patterns for effective
decision making.
The characteristics and capabilities of business intelligence and big data analysis present
identities of evolution, applicability, and the stance of emerging critical research on
implementation into influencing future paradigms in the use of data. As opposed to traditional BI
implementations, BI and BDA come with opportunities associated with special issues in terms of
making decisions concerning organizational framework. Typically, BI involves processes,
technology, and architectures that transform data into critical information for decision making.
Big data analysis consists of the exploitation of analytic techniques on large datasets that could
be structured or unstructured as well as semi-structured to uncover information for decision
making pa...


Anonymous
This is great! Exactly what I wanted.

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