MBA633 Case Study: Data Analytics to Enhance Business Decision Making

This case study addresses the challenge of poor sales in a business area and advocates for the adoption of data analytics tools to improve decision-making. It highlights the benefits of using big data and digital analytics to identify patterns in sales data, understand market trends, and evaluate competitor strategies. The study recommends the use of data-driven insights to make informed decisions, enhance financial revenue, and ensure long-term sustainability. It also discusses the compatibility of the proposed solution with business strategies and emphasizes the importance of accurate reporting mechanisms. Ultimately, the case study concludes that leveraging data analytics is crucial for organizations seeking to overcome challenges in underperforming sales areas and achieve a competitive advantage.

Running head: BUSINESS CASE STUDY
BUSINESS CASE STUDY
Name of the Student
Name of the University
Author Note

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BUSINESS CASE STUDY
Executive Summary:
Data analytics has emerged as one of the favourite tools for the organisations that offers
significant benefit to the organisations. The benefits extend to a vast domain and one of them
is decision making which have its own vitality in organisations. An adequate decision can
change the course of the organisation towards global leadership on the contrary inadequate
decision can cite catastrophic results. Hence, making a well-informed decision is mandatory
and the paper has discussed use of data analytics tools in poor areas of sales. The discussed
tool analyses the organisational data long with the sales record of its competitors and market
trends to summarise and report the findings which the decision makers can take in account to
make appropriate decision from a business perspective. The report has also cited the benefits
that the proposed system will offer along with the limitation that may be associated it. The
compatibility of the proposed tool with the business strategy has also been discussed and all
of them have been summarised to justify the selection.

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Table of Contents
Introduction................................................................................................................................3
Case for change..........................................................................................................................3
Recommendation of ‘analytics solution’...................................................................................4
Identification of appropriate data...............................................................................................5
Recommendation of appropriate reporting mechanisms............................................................6
Conclusion..................................................................................................................................7
Bibliography:..............................................................................................................................8

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Introduction
Informational resources are one of the most prominent resources of the organisation
that can assist in different organisational tasks. Analysing the information can enable the
organisation in making adequate decisions from a business’s perspective that can prove to be
sustainable for the organisation. However, not every business decision is taken with analysis
and one of such context is “poor sales in an area of business”. The deemed report will present
a case study that would recommend and discuss the Big data analytics & technology in the
discussed business context before concluding the paper.
Case for change
IT (Information Technology) is witnessing a major surge in the rate of adoption and it
is because of the fact that the former is growing every day and is answering the challenges
that were left unanswered before. One of the questions that were left unanswered before was
the decision making over the actions that needs to be taken in the areas where poor sales were
visible in an area of the business. The reasons that could be responsible with poor sales could
be anything from low quality to price to improper evaluation on the need of the offering.
However, inadequate decision over the deemed situation commonly causes a lot of financial
disturbances for the organisation which in the long run affects its sustainability. Hence, the
organisation needs to make a well-researched decision about that area of sales to mitigate the
challenge for the organisation and its sustainability.
The benefits of the change for the organisation will lead to have a properly structured
area of sales that in the long term will have positive impact on the organisational
sustainability and financial profit. Additionally, the tools that will assist the decision making
in the deemed area of sales will offer the advantage of making adequate decisions in non-
poor areas of sales which will offer financial stability and enhancement to the organisation.

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Though, the high investment of adoption of the proposed tool can hamper the organisational
operations for a shorter period of time can be considered as its only limitation.
The goal of making adequate decision in the poor area of sales of business would be
to ensure that the organisation gets a hold of that situation and in the process increases its
financial revenue from that specific area. The discussed revenue should be enough to bear the
expenses of that particular area while offering suitable benefit at the same instance.
The proposed measure is an IT relevant technology and every organisation has their
IT infrastructure depending upon which they devise their general business strategies. Hence,
the proposed tool will be compatible with the business strategy in general. Another notable
fact is that the primary goal of any business is to earn revenue that derives its organisational
strategies and the deemed method will assist the former in attaining its primary goal making
the adoption fit with the business strategy.
Recommendation of ‘analytics solution’
The recommendation of the proposed challenge that is of making adequate decisions
in poor areas of sales in a business is digital analytics of the sales and other relevant data
through disruptive technological adoption. Big data tools can assist the organisations in
attaining the discussed milestone. Big data, data analytics, digital analytics or technological
analytics as it is called is a mode of determining a pattern that is determined form data that
were collected from an individual source on an individual task. The determined patter can
prove to be vital in different areas that includes devising strategies, forecasting, making
necessary changes or decision making for that particular area. In the deemed scenario the data
from the area of poor sales of an area in business has been considered under the scrutiny and
decision making over that area is taken into consideration.

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A poor area of sales can be associated with one of the organisational offering or even
with a location where the organisational offerings are proving to be less attractive and
responsive then its competitors. In either of the scenario, a set of data is collected from that
scenario evaluating that data will conclude on some points that includes the perception of the
buyers and the necessary changes that can made depending upon the strong areas of sales.
Based upon the findings from the data analytics the decision makers can reach on a well-
informed and adequate decision over the future of that area of sales.
However, the deemed task is almost impossible from manual techniques as analysing
the perception & pattern of buyers is a complicated task and done manually would leave loop
holes that will affect the decision which will harm the area of sales further more.
Additionally, it is time, effort and resource consuming which is generally avoidable for an
organisation. Hence, big data tools can do the task for the organisation within shorter frame
of time with less resources & effort and that too at a great accuracy. The discussed tool will
run the data in an algorithm and summarise them too make it easier for the decision makers to
reach an adequate decision making position. Additionally, the tool will keep on evaluating
the data which will assist in determining the trends of that particular area depending upon
which the decision makers can take decisions over that area and make the necessary changes
to earn a competitive advantage and long term sustainability for the organisation.
Identification of appropriate data
Organisational structure related data, data of sales of strong areas and other data will
assist the tool in analysing the weak points of poor sales area. However, the data that will be
required by the discussed technological tools which are most prominent are discussed as
follows:

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SALES RECORD: The sales record that includes the invoices, inventory price of delivery
and others that are associated with the area were the pattern needs to be deciphered. It will
assist the tool to formulate the key factors that are prominent for the organisation in that
specific area.
TRENDS IN THAT AREA: The data that can cite evidence to the trend where the sales are
poor will assist the data analytic software to understand the perception and needs of the
consumers who are being targeted. The deemed data will act as the catalyst in devising the
pattern and will even assist in offering forecasting the changes of the area of discussion
according to which the organisation can make the necessary changes.
COMPETITORS SALES RECORD: The area in which the organisation is lacking can be
evaluated more adequately by analysing the data of the organisations who are leading in that
area of sales. It will assist the tool to evaluate their working pattern, size & cost of offering
and other factors to cite the shortcoming of the organisational processes & offerings
according to which necessary changes could be made.
Recommendation of appropriate reporting mechanisms
As stated above the recommended method is a disruptive IT tool and is capable of
analysing and forecasting of the data that can assist in making decisions. The system is an
automated system where it can collect the necessary data automatically, if authorised to
access the organisational server. In the other case, the inputs entered by the internal
stakeholders of the organisation are analysed to cite the results. Another notable fact that has
been discussed above is that the tool is continuously analysing the data to determine the
pattern and forecast the required changes. Hence, the automation and analysis of the trends
makes the discussed system capable of summarising them and citing evidence to the validity
of the decision made based on the finding of the tool. The tool even offers advantage of

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safekeeping of the organisational information resources which can be compared and
contrasted to develop a report that will justify the supremacy of the data analytic decision
making over the non-data analytic decision making. The report can be developed
automatically or can be devised manually depending upon the needs and trust of the
organisation.
Conclusion
The discussed business case can be summarised to emphasize that the poor area of
sales in a business is a major concern for an organisation but wrong decisions are more
prominent concerns. Inadequate decision making not only influences the organisational profit
& sustainability but also raises question over the knowledge & leadership of the decision
makers. It can develop multiple problems for the organisation both internally and externally.
Hence, it is advisable that the organisation adopt tools or techniques or both to mitigate the
deemed challenge. One of such techniques that is capable of mitigating the discussed
challenge is decision making based on data analytics. The decisions that are made on findings
from analysing the data of a particular area are suitable and fruitful for that specific area.
Hence, the data analytic technique should be reliable. The discussed reliability can be earned
by adopting data analytic tools such as big data which will not only evaluate the data from the
poor sales area but will also evaluate the trends that will assist in making a more decisive and
adequate decision. The benefits of the discussed tool are not limited to the analysing of the
data and thus offering adequate decision making opportunities but also extends to reporting,
auditing and multiple other areas where it proves its dominance over other tools &
techniques. Hence, the report can be summarised to conclude that big data, digital analytics &
technologies is a much needed decision making tools that can offer prominent advantage to
the user on adoption.

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