Data Analytics and Business Intelligence | Essay

Data Analytics and Business Intelligence 1
Data Analytics and Business Intelligence
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Report
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1500 words
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Data Analytics and Business Intelligence 2
Data Analytics and Business Intelligence
Recently, businesses environment faces many challenges. Hence it is useful for business
organizations to access relevant information and knowledge's in order to help them overcome
some challenges.BI is an overall notion for techniques, solutions, and tools that assist managers
in understanding business situations. Business intelligence is referred to as the managerial
philosophy, as well as a tool used in helping the organizations to manage plus refining of the
business pieces of statistical information with the aim of making more decisions in the business1.
In the rapidly changing environment, different organizations performing different task
dimensions as well as tasks at times come across some problems, where data becomes the
valuable resource for making critical managerial decisions and extraction of knowledge in
different business scope.
In giving a little historical background of BI application, the use of BI in the
enhancement of operations in the business is not a fresh idea. The term first appeared in a book
in the 1800s when it describes ways a financier had been outsmarted with other competitors that
applied the idea of the market to play it. As used today, reefers to practices, plications, and
technologies that analyze, integrate, collect as well as presenting business data with the motive of
making data-driven business decisions.
What learned about the BI concept in the development workshop session?
During the development workshop session (DWS), I came to learn about business
intelligence software and business intelligence tools. Where I realized that without the BI
software, then the big data has no value, as it's the tool that makes it possible to create value from
1M. Olszak, "Toward better understanding and use of Business Intelligence in organizations." Information Systems
Management 33, no. 2, 2016, p. 105-123.

Data Analytics and Business Intelligence 3
big data. On the other hand, the BBI tool is the tool that enables decisions making in a business
or development predictions depending on the business objectives, as it allows companies to both
the context of the historical and current data2.
At the DWS I leaned that organizers with the BI concepts benefits allot as BI is used to
turn data into awaking information for management, decision making, leadership, and
organization. I was also able to identify some of the ways that the companies are learning to use
the BI. These include the following, learning to; analyze risk, analyzing customer sales trends,
behavior, and buying patterns. Measure, track, and predict sales and financial performance; track
the marketing campaigns' performance. Optimize concerts as well as operational performances.
Strategize value driver analysis. Budgeting and financial planning provide delivery as well as
supply chain effectiveness. It also helps in Customer relationship management and web plus e-
commerce data analysis.
It was now clear to me that the BI benefits organizations by assisting them with quick
answers to critical business questions help in the alignment of activity with strategy as well as
reduction of time spent on data entity plus manipulation. Organizations gain in-depth real-time
insight into customers, are able to benchmark data against competitors plus historical data for
continuous, finding out and analyzing cost-effectively and budget allocation, and lastly boosting
internet productivity by spending time on what is essential.
What did you find attractive in what you learned?
What I found interesting about the DWS was the fact that I had some questions about my
curiosity answered. Like I had longed to know what time and how do I use BI in my business,
2 A. Shollo, and D. Robert "Towards an understanding of the role of business intelligence systems in organizational
knowing." Information Systems Journal 26, no. 4, 201, p. 339-367.