R have played a crucial role in developing
applications predicated on big data. There are numerous fields that have
benefited from their work. Healthcare, construction, law enforcement and
academia are just a few of the countless sectors that have become dependent on
applications developed by R programmers. However, may be the
field that is most affected by their work.

There are a number of that R programmers develop applications that have helped improve business analytics and subsequently increase the
effectiveness of most business models.

Improving omnichannel marketing strategies

Omni-channel marketing has become crucial to the success of
most retailers. They have discovered that viewing online and brick-and-mortar
retail distribution strategies as competitors rather than supplements have been
a mistake. The most successful brands are merging the two, while companies like
Sears, a former pioneer in omnichannel marketing that has since lost its way,
are struggling to stave off bankruptcy.

R developers have helped these retailers integrate data from their online marketing strategies into their brick-and-mortar approaches. Nordstrom is one of the companies that has done this, which has explained why they are thriving as competitors struggle. A case study by HubSpot found that this approach lifted their ROI by 164% by utilizing data blending and other strategies.

Optimizing customer service delivery

CustomerThink discussed the role that business analytics is playing in customer service.
The most important way that it is influencing customer service is by segmenting
behavioral data across different customer groups and tailoring their customer
service strategies accordingly. Brands are collecting valuable data on
millennials and baby boomers to see what their behavioral tendencies are. This
has helped create more effective customer service approaches.

Some brands can use this data in more obvious ways, because
they tend to have more homogenous customer profiles. Brands that primarily
serve millennials can easily corporate their behavioral data. However, some
brands have more diverse customer bases. They need to utilize this data in
other ways. This usually involves adding additional dimensions to their data
profiles.

Most conglomerates have different child brands and products
that are targeted to specific demographics. They can segment their customer
service departments according to these internal divisions.

This is one of the reasons that R is such a popular language
for customer service analytics. It is a very deep level programming language
that can handle multi-dimensional arrays. This means that it is a good language
for developing applications that need to take a very nuanced look at customers.

Fraud prevention

Fraud is a very real concern that countless businesses face.
Cyber fraud is especially worrisome. Over 60% of small businesses that are
victims of a cyber security breach are forced to close their doors within six months.

While technology has created lots of new security threats to
businesses of all sizes, it also is the best defense against a new generation
of criminals. Business analytics has helped numerous companies improve their
cyber security models.

This will significantly reduce the risks of online crime in
the future. Companies with a strong online presence are most likely to benefit
because they tend to attract the most attention from online criminals.

R developers are playing an increasingly important role in
this regard. The R programming language is very adept at collecting real-time
data since earlier generations were entirely predicated on RAM memory.

Identifying employee and human resources concerns

Human resources issues are a major cause of frustration for
many companies. Fortunately, R developers have helped develop a number of
applications that can alleviate them. These applications are able to track
employee responses over the course of a year or more.

This can help organizations better understand the issues their
employees and respond to them appropriately. This can help reduce turnover,
which is a massive concern for most businesses.



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