Data Analytics – A trending and popular career field for the future
ExcelR
Solutions. Data analytics is a science field to analyze raw data to conclude
the information. Most of the techniques and data analytics processes have been
automated into algorithms and mechanical processes which work on raw data for
human use. Data analytics methods can disclose metrics and trends which would
contrarily be lost along with large information. Then, this information can be
used to optimize the processes to boost the total business or system
efficiency.
Why is
there a need to understand data analytics?
Data
analytics is an open term that includes various types of data analysis. Any
kind of information is subjected to data analytics methods to receive awareness
to improve things. For instance, a manufacturing company regularly records the
downtime, work queue and operation time for different machines and the data is
then analyzed to plan out the number of workloads for the machines so that the
machines can operate to their maximum capacity. Data analytics can perform much
more than identifying bottlenecks in the production process. Also, gaming
companies use data analytics techniques to set schedules for receiving rewards
for players which keeps the majority of players engaged in the game. Likewise,
content-driven companies use a lot of data analytics tools for customers that
keep them hooked onto the content through clicking, watching and restructuring
content to receive another click or view from customers.
Significance
of data analytics
ExcelR
Data Analytics Courses
In Pune. Data analytics is integral as it helps
businesses to enhance their performances by embedding it to the business model.
The companies will be able to reduce costs by finding the most efficient manner
in doing business and by allowing companies to store a vast amount of data.
Also, a company can use data analytics to make decisions that are better for
business and help in evaluating customer trends and satisfaction that can
result in the production of new and well-equipped products and services.
Types of
data analytics
Data
analytics is branched into four primary types of analytics.
1.
Descriptive analytics
This type
of analytics depicts the events that have happened over a specified period, for
example, have the number of views increased and have the sales increased
compared to the previous month?
2.
Diagnostic analytics
This type
of analytics has emphasis on the reason for something to happen. This includes
many different data inputs and a small part of hypothesizing. For instance, a
question on whether the weather affected the sales of beer or did the new
marketing campaign have an impact on sales.
3.
Predictive analysis
This type
of analytics analyzes the likelihood of events happening in the future. For example,
the impact of sales due to the hot summer in the previous month or the various
types of weather models used to predict the hot summer in the present year.
4.
Prescriptive analytics
ExcelR
Solutions. This type of analytics mentions a suitable course of action for predicting
events to happen in the future. For instance, if the possibility of a hot
summer occurring is measured based on the model showing 58% above the average
of different types of weather, then a suitable course of action would be to
include an evening timing to the brewery and rent a supplementary tank to
improve output.
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