Data Analysis Case Study: Big Data, Decision Making, and Governance

This case study explores the impact of big data on decision-making processes, highlighting the shift from experience-based decisions to data-driven strategies. It discusses how big data can improve business performance through predictive analysis and customer preference tracking, emphasizing the importance of leadership, talent management, and technology in creating a new culture of decision-making. The analysis extends to a McKinsey case study, examining the quality and quantity of education in Loravia School, advocating for improvements in teacher quality and curriculum. The study also emphasizes the value of creativity in data presentation, the process of developing an analytic culture, and the challenges of implementing new solutions. Finally, it addresses data governance, recommending a Relational Database Management System (RDBMS) for effective data management and stressing the importance of communication, management, and team involvement.

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Data analysis
Name of Student
Institutional Affiliation
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Data analysis
Big-data management revolution case study
The data-driven companies entirely rely on the big data in their decision making as they
can predict, measure, and hence get more knowledge about their business performance, which
aids them to translate the business to a better performance. On the other hand, data analytics
relies on the experience or knowledge of the highly skilled managers or executives in driving
decision making processes whereby these managers revert to the big data in cases where their
knowledge and experience does not agree to the evidence provided by the big data. According to
(Sheriff, 2018, pp.79-91) the big data will intelligently improve the business performance, for
instance, in an online retail bookshop, the big data will provide information about the books sold
most, the least sales, the most viewed books, and even provide the basis of creating an algorithm
that can track the customer’s choices and preferences. Such information could help the
executives to stock the most sold items and even can predict the next purchases of the customers,
which can greatly improve the business performance.
However, in order to create a new culture of decision-making, some managerial
challenges should be overcome (Janssen et al., 2017, pp.338-345). Leadership in an organization
is the key index, as leaders need to set clear goals, provide suitable human insights to the
performance and drive their employees and stakeholders towards achieving the set goals and
objects. Moreover, good leaders will identify opportunities; understand the market dynamics, and
articulate visions through handling of their customers, employees, and the shareholders. Another
challenge is the talent management. With the existence of big data, more efficiency can be
achieved if the personnel available is highly skilled in the utilization of these large pieces of

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information available, which would lead to better decision-making processes. In addition, the
technology available in storing this big data will greatly promote decision-making process as the
retrieval of only relevant and useful information is fast compared to traditional means of big data
storage.
McKinsey case study
According to McKinsey case study, the issues to be investigated in assessing the
condition of the current system in Loravia School are entirely centered on the quality and
quantity of the education available and how it affects the performance of the education system in
the country in relation to other well-performing education systems in well-established economies
in Eastern Europe. However, from the given chart, it is observed that the number of students
variation reflect the geographical distribution of the populations of the given countries. The data
from the chart indicates that the ratio of teachers/students per student funding are vital in
improving the quality of education thus the teacher quality and curriculum should be investigated
(O'Cadiz, 2018).
The reduction in the number of schools would imply that nearly 38% of schools be closed
which would be probably an unrealistic move as it would lead to the rise of other problems such
as poor attendance and shortage of staff since the students and the teachers would have to cover
long distances in order to get to school and also cause higher financial budgets. Based on the
case study, the assessment should also be extended to post-secondary level to assess the
transformation of the students and their performance even on their competence in the
employment fields and market.

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Creativity in data analysis
Creativity can greatly add value to the collection, interpretation, and presentation of data
in data analysis. For instance, in data presentation, creativity can drive to an effective data
visualization, which makes it easier to understand the presented data using an appealing range of
colors and simple diagrams, which makes it easier to identify a problem, and providing a
solution on time.
Process of developing an analytic culture
For developing such an analytic culture, the people to engage in will be the executives or
managers and the stakeholders in the decision making processes through thorough meetings and
consultation processes with the use of reliable software such Tableau in the data visualization
during presentations (Drake et al, 2018, pp.81-93).
Experiences in implementing new solutions
Implementing new solutions in an organization calls for readiness by everyone and can
be received with a lot of resistance and negativity. There are a number of pitfalls along the
process which includes the reluctance to change by the management which requires a lot of
efforts in convincing them to adopt the system. A number of data analytic methods should be
deployed to aid in explaining the impact of the new changes, the advantages that come along,
and the opportunities that the organization can harness from the new solution (Buchanan and
David, 2018).

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Data governance
In order to know whether the organization is ready for data governance tools, you should
consider why the tool is desired by the organization, what the drivers of the planned purchase
are, whether the organization is ready for training its staff on end-user monitoring and support,
and finally whether the organization is informed of functionality requirement and capabilities
offered by different vendors. According to (Tashkandi, Araeka, and Ingmar, 2018), the
organization can foster a centralized data governance through a well implemented Relational
Database Management System (RDBMS) that would provide a framework for effective data
governance and management. However, in my opinion, a good data governance framework
should include; effective communication processes, a strong management, and an active team
involvement aspect. Therefore, the use of RDBMS is an innovative way that would drive an
efficient data governance in an organization.
References

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Buchanan, D. and McCalman, J. (2018). High performance work systems: The digital
experience. Routledge.
Drake, B. M., Pytlarz, I., and Patel, M. (2018). Let Me Paint You a Picture: Utilizing
Visualizations to Make Data More Accessible. In Building Capacity in Institutional
Research and Decision Support in Higher Education (pp. 81-93). Springer.
Janssen, M., van der Voort, H., and Wahyudi, A. (2017). Factors influencing big data decision-
making quality. Journal of Business Research, 70, 338-345.
O'Cadiz, P. (2018). Education and democracy: Paulo Freire, social movements, and educational
reform in S{\~a}o Paulo. Routledge.
Sheriff, M. K. (2018). Big Data Revolution: Is It a Business Disruption? In Emerging
Challenges in Business, Optimization, Technology, and Industry (pp. 79-91). Springer.
Tashkandi, A., Wiese, I., and Wiese, L. (2018). Efficient In-Database Patient Similarity Analysis
for Personalized Medical Decision Support Systems. Big Data Research.