Analytics makes full use of mathematics, statistics, computer
science and so on. In the business environment, there are three popular
analytic methods: the descriptive analytics, predictive analytics, and
prescriptive analytics. These three methods support organization to make right
decisions. According to the survey of the Emarketer, 49.3% people consider that
the predictive analytics and models do conducive to collect more relevant data,
which provides the help in making the decision. In the process, people are
required to identify the problem and make the preparation of the data firstly.

Then they transform data into information and create the model. At last,
testing the validate models repeatedly is needed. I would like to use critical
thinking to consider whether the analytics is People’ s business. It is
absolutely right that the analytics cannot leave human considering the process
of making the decision. The people establish the database and develop many data
analytics tools. The data-driven thinking is prevalent in business. On the
contrast, the result of analytics must follow the truth and data itself, not
people’ subjective view. The employees need to conduct the analytics based on
the data.

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On the one hand, analytics is a
People’ s business. People start to utilize the analytic methods which make it
become an increasingly important role in decision-making. At firstly, employers
collect data from a variety of sources which includes the financial statement,
social media, sales trends, marketing trends and so on. And they set up the
database to store a large amount of data. Transforming data into useful
information is the data visualization. Machine learning and many analytics
tools like Hadoop, Python, SAS and so on is extensively used in the process. In
modern society, since the purple people emerge in the recent year and they
extensively utilize the data analytics. The purple people are the analytics
leaders who perfectly combine the business

and technology. Besides, the
purple people have the strong background in business analytics. They help the
organization to recognize and analyze the problem and manage the whole teams.

The information technology teams and computer science teams build the model to
solve the problems. They make the decision based on data analytics and play a
vital role in their organization. I would like to take the Tim Leonard, the chief
at Xpress, for example. He possesses the strong technical background and business
analysis skills. His teams dominant established the real-time business
intelligence system which is utilized for monitoring data from trucks. The
system collects a large amount of data as well as the real-time data. In
process of transportation, the system collects real-time data which includes
how petrol usages, tires, brakes, engine operations affect the trucks. The
purpose of collecting these real-time data is recording the capacity of trucks.

In addition to this, their team council the trucks and improve the speed of
delivery by recording 900 to 970 data elements of the engine data. The
Geospatial analytic team in Xpress puts data into Hadoop database and all the data
is prepared to be processed and analyzed. They monitor the idle time of trucks.

Then the enterprise is able to know when the truck is running and it can
utilize the idle trucks. The Xpress makes full use of existing resources to
improve the efficiency and speed of delivery. The system saves $20 million in
one year and makes success in the transportation industry.

On the
other hand, analytics is not a People’s business. Analytics is based on the
data and fact and it won’t change due to the subjective factors. It is true
that the analytics is relevant to data.

 

 

Although
people lead the analytic in business, the use of analytics is not a subjective
thing. “The great thing about fact-based
decisions is that they overrule the hierarchy.” Jeff Bezos said.

In
the organization, the junior people may deem that the superior and experienced
people always make the right decision. However, in the organization, the junior
people neglect to analyze the data itself. If so, the decision may be wrong and
this will have the negative influence on the organization. For example, in
sophomore year, I practiced as a beverage salesman in a supermarket. When I
entered the supermarket, I found that the sale of the beverage was declining. I
started to look for some of the problems. By analyzing the monthly sales data
and the questionnaires, I found that there are too few variety of drinks
compared with other supermarkets. So, I suggest the manager increase the
variety of beverage. The manager said that ex-salesmen are experienced and
choose these varieties before. He is afraid that the too many varieties of
beverage are unsalable and my analysis lacks evidence. Later I talked to the
manager several times and present the sale data, then he agrees that I can try
in three months. At last, by increasing the variety of beverages, the
supermarket increases sales of beverages. In the organization, the employee
should give own suggestion based on the data, not just follow the experiences
people.

 

All
in all, it is significant for the organization to utilize data analytics. Not
only is it based on the data but also the analytics is people’ business. People
develop the data-driven thinking and data analytics tools. Moreover, people
collect more data than before and store it. The decision-making gets more and
more support. The employees don’t bring the huge change in the Xpress by
monitor the real-time data, but it achieves success in saving cost. Making full
use of the data

analytics
may contribute to data-driven enterprise thinking. In the long run, the
organization will keep competitive. At the same time, the analytics should
support the fact-based decision, we cannot deny the fact due to people factors.

All conclusions we draw needs to conduct data analytics. For all organizations,
they are required to utilize data analytics to make the decision more
accurately. They also need to focus on the suggestion from the employees.

Analytics is complex files, we should learn to use it correctly.