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Pass 3 - Unit 39
“Business Benefits and
1. Subjects: Business Analysis, Business Sector Review, Opportunity Analysis.
2. Time Allotment: 2 Hours.
3. Software Used: MS Word, MS Excel.
4. Learning Objectives:
Identify the benefits of business analytics to a business environment.
Review the relationship between analytics, sector application and impact.
Analysis of opportunities through big data review.
Methodology review for business analytics.
For Pass 3 learners must identify the benefits of business analytics within the business
environment. The benefits can be discussed in two ways, either within a singular organisation or
a general overview across a business sector. The report should document as many benefits as
possible, learners can present these with mind maps that illustrate cross sector benefits.
Procedure - Pass 3
Learners should focus on a specific business, suggestively the college, and identify the benefits
of business analytics within the business environment. Learners are to begin identifying the
benefits of business analytics, commenting on how they are defined and met. They can then
begin to review the sector usage, and how the current implementation is able to deliver to its
users. To conclude, learners can identify business impact and further clarify the way in which
utilized big data can aid in benefiting a business. Learners are also required to produce two mind
maps covering the content discussed in the report.
Use Of Analytics
Business intelligence (BI) is the ‘umbrella’ term used to process and analyze raw “Big Data” for
business intent. As mentioned, the inclusion of analytics shows demonstrates how companies
indirectly accumulate data that can be further utilized to increase the quality, and in some cases
efficiency, of their business. For this section, learners should discuss the difference between a
business with BI and one without.
Forecasting is a task that all businesses must carry out to ensure their survival in today's
competitive market. Big Data has influenced this in recent years, namely by providing a new
means of prediction with increase accuracy and validity. Previously, businesses would not have
the ability to make ‘as’ accurate predictions on consumer trends, however due to the precise
nature of big data this is now achievable. For this section, learners should discuss the difference
between both methods of forecasting (With and without the use of big data) and identify the traits
from big data that help benefit businesses.
Linear, Integer and Constraint Programming
Linear Programming - Is the process of reviewing the amount of tasks / objectives and
identifying the complex relationship(s) between each tasks. You can them highlight the optimal
process and increase your efficiency and productivity.
Integer Programming - In the case that the scenario is more complex, and linear programming is
not strong enough, integer programming is used. An example of this instance is vehicle routing,
to which there are constant fluctuation amongst the variables that it remains difficult to predict,
hence the need for more control.
Constraint Programming - Is the name awarded to the process of analysing a large data set and
sorting them in order to achieve the highest satisfaction rate. An example is the college
timetables, as they are in constant fluctuation, a system can govern this allocating rooms with the
correct size and resources whilst being on the correct campus.
For this section learners should comment on how adding these methods above to a business
would bring benefit. Starting with the notion that the data being analysed is subject to sorting
based on predetermined rules with the end goal being increased efficiency.
Changes that occur within the industry can have incredible impact on businesses as the market is
in a constant state of flux, however, there are some problems that require attention before they
can be remedied. In the case of a demographic issue, resulting in a large percentage of your
consumers no longer enjoying your product, how can you deal with this accordingly? Well, the
first thing is to review what you know to be true, the data. For this section learners should discuss
how archived data, namely from the consumer demographic, can aid in locating points of origin
for present business issues.
Identification Of Patterns
The purpose of pattern identification is to recognise anomalies and correlation within data sets.
Companies can archive all the big data they need, however, the data remains useless unless it
can be verified, validated and comprehended. Patterns provide rules to which define the
construct of relationships between data, across the subject set. Learners should begin by
explaining the problem space and how that can damage a business if left unacknowledged. They
should then focus on how these different methods can aid a business by providing clarity and
giving their data sets validity.
Use Of Analytics
IBM Smarter Commerce
Smarter commerce is the process of better management of all tasks to improve customer value,
brand loyalty and consumer satisfaction. The use of IBM’s service demonstrates how companies
can better manage the explosion of available data, to date, and therefore achieve higher
standards. Analysing all the available data can be difficult, however with the use of advanced
systems and solutions provides an autonomous equivalent that saves time, effort and minimizes
error / risk space. Learners should discuss how this could benefit a business with an influx on
available data, showcasing the service and all that it offers.
IBM Smarter Care
Smarter care is the thought that health is relative to a number of different variables, and although
we cannot always account for this, artificial intelligence can. IBM Watson aims to take a holistic
approach to the data set(s) and uncover insights into possible detriments to health. Overall, their
goal is to improve individual outcomes, lower deliverance costs and drive wellness within a
community. Learners should explain why Watson should be considered in aiding the fight
towards improved individual recognition, followed with an review of all claimed benefits that are
to be provided.
Siting Of Wind Farms
As the world is moving towards a collective goal of becoming “greener” before decisions that
impact society greatly can be considered, the research and data must be present. Big data is
already used in methods of environmental conservation, however, it is now being used towards
the generation of clean energy. As we are collecting more reliable data regarding the wind
patterns and behaviour on our planet, we are able to design more efficient and reliable turbines
for energy generation. Learners must explain the correlation between increased environmental
data sets and their impact on wind power. Following the link, they are able to comprehend the
impact of wind farms and their consideration for futuristic technology.
We live in a world in which we are working together to improve the global health situation, sadly
there are still certain health complications that are still present within society. Cancer is one of the
biggest health detriments to date, and due to this high statistics, it has been considered to be
applied to big data techniques. Managed archives of cancer mutations, diagnostic practises and
patient samples will drastically increase the way we approach treatment options. It also provides
a means of collaboration regarding experimental treatments for people with more complex
diagnosis. Learners should discuss the impact to cancer research big data could have, covering
the range of benefits that present.
Businesses that provide products to consumers often acquire the raw materials needed for
production, and manage the complete process. However, as the laws and regulations on these
raw materials fluctuate and the manufacturing methods change, how can businesses stay on top?
Well, they review each aspect of how they operate, reviewing it based on predetermined criteria
and then assessing it in a linear modular approach. Learners should highlight the importance of
production planning and accounting for each step of the process. Please see the link below.
Supply Chain Operation
Modern day manufacturers are utilizing big data to further improve their efforts on orchestrating
their supply chain. Increased efforts now allow the majority of supply chain management to occur
remotely, using AI as a means of predictive behaviour. Choosing to compete on accuracy, speed
and quality forces supplier networks to get to a level of contextual intelligence not possible with
legacy ERP (Enterprise Resource Planning) and SCM (Supply Chain Management) systems.
Learners should document the importance of regulating their supply chain, and comment on how
businesses who increase their efficiency also experience other benefits too.
Distribution Network Design
A distribution network is an interrelated arrangement of people, storage facilities and
transportation systems that moves goods and services from producers to consumers. A
distribution network is the system a company uses to get products from the manufacturer to the
retailer. The system can then be further optimized by AI to help identify areas of concern /
limitation. Learners should discuss how these designs can be improved, and with what tools.
Is the method of evaluating the available assets to a business and managing them based on a set
of predetermined criteria. This criteria shall then dictate the process to which the business shall
manage its assets, with the idea of maximizing the return value and minimizing the risk factor.
Learners should discuss the process of optimizing a business's portfolio and suggest means of
how they would assign criteria.
Resource Allocation (½)
When you are a business you need to focus on how you manage your resources. This does not
strictly apply to materials but also to the staff, especially with new or struggling businesses.
Starting with the daily schedule, highlighting tasks and duties, then moving towards staff
management and scheduling updates for clients / shareholders. Learners should focus on how
these small features, once combined, are able to collectively stimulate a business and create the
tone of “professional”.
Scheduling and Sequencing (½)
Share point as above. The need two separate headings, but the content remains relative.
Timetabling, Routing and Dispatching
As mentioned previously, characteristics of a business such as time management are under
constant supervision when implementing big data techniques. Schedules are important in any
business, however, by reviewing this process further we are able to increase our efficiency and
experience additional benefits as collateral. Example: Less time with lorries on the road means a
smaller carbon footprint, this in turn increases your brand's recognition within the environmental
As mentioned earlier, learners are to create a minimum of two mind maps for the topics
discussed above. The mind maps will demonstrate your research and thoughts about two of the
topics that you have discussed within the report.