Impact of BI/DA on Business Functions: A Comprehensive Analysis

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This report examines the significant influence of Business Intelligence (BI) and Data Analytics (DA) on core business functions, including human resources, finance, marketing, and production. The study explores how these technologies enhance operational efficiency, improve decision-making processes, and contribute to increased revenue and cost savings. The report emphasizes the importance of developing a clear vision, flexible structure, and a robust governance program. It also highlights the necessity of employee training and performance measurement. The analysis includes a critical review of the technologies, presenting alternative viewpoints. The report is well-structured, incorporating an introduction, pros and cons, body, discussion, implications, conclusion, recommendations, and a comprehensive list of references. This report is designed to provide a comprehensive overview of BI and DA's role in modern business operations, offering insights for strategic decision-making and organizational improvement.
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Impact of business intelligence/data
analytics on business function
(human resource, finance,
marketing, production, etc
Name of the Student
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The Business technology has become highly
advanced in nature.
It has therefore become essentially crucial
that the organizations adopt technological
means to continue operations.
The presentation is focused on underlining
business functions and their operations under
the influence of Business Intelligence and
Data analytics.
Introduction
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Data analytics and Business
Intelligence
The Data analytics is
largely concerned with
comparing the previous
years data to predict
future trends.
The Business Intelligence
is concerned with ensuring
that all enterprises use
advanced technology to
precict future needs of the
consumers.
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The target establishment and benchmarking
have become relevant business tools.
These tools support organizational success.
The information derived from Data analytics
assists in processing the information
available (Larson & Chang, 2016).
Faster decisions are taken on the basis of
these tools.
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The Business functions form the main essence of
organizational success.
All businesses which aim to attain organizational
goals will be required to engage in operational
efficiency in terms of the resources of the
business.
Hence, the presentation will focus on the
discussion of how the Data analytics and Business
intelligence will impact the business functions.
Business functions
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The impact of the Data analytics and the
Business functions on the organization can
be understood to be as follows:
1. The business functions become more
efficient in nature
2. The decision making becomes faster
Impact of DA and BI on business
functions
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3. The revenues of the firm increases
4. The firm can engage in cost savings and time
savings.
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The following recommendations can be made
to the firm:
Developing clear vision
Developing Flexible structure
Implementing a governance program
Targeting the weakest function (Howson, 2013).
Training of the employees
Measurement
Recommendations
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Hence, the presentation outlined the
different measures which can assist business
functions.
The various concepts relating to the field of
Data analytics and Business Intelligence
were critically discussed
The study also underlined the impact of
these concepts on the business functions.
Conclusion
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Chang, V. (2014). The business intelligence as a service in the cloud. Future
Generation Computer Systems, 37, 512-534.
Howson, C. (2013). Successful business intelligence: Unlock the value of BI &
big data. McGraw-Hill Education Group.
IşıK, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The
roles of BI capabilities and decision environments. Information &
Management, 50(1), 13-23.
Jebb, A. T., Parrigon, S., & Woo, S. E. (2017). Exploratory data analysis as a
foundation of inductive research. Human Resource Management Review, 27(2),
265-276.
Kotu, V., & Deshpande, B. (2014). Predictive analytics and data mining:
concepts and practice with rapidminer. Morgan Kaufmann.
Larson, D., & Chang, V. (2016). A review and future direction of agile, business
intelligence, analytics and data science. International Journal of Information
Management, 36(5), 700-710.
References
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