Business analytics refers to the combination of computer
programming, business intelligence and data analytics. It refers to the science
of analyzing data and finding patterns, which will help in developing
strategies. In today’s world, it is used by almost all industries. The goal of
business analytics is to filter useful data sets and prescribe how they can be
used for the better functioning of the company.
Following are features of some powerful tools used by various
companies to manage huge amount of data:
1. Programming using R language- R is one
of the analytical tools which is mostly used by various professionals for data
modelling and statistics. It is a language used to do statistical computing and graphics. Using this tool, data
storage and handling becomes very easy. It provides various graphical
facilities, allowing for display information in the form on charts on a screen
or print them in the form of hard copy.
2. Python- It is one of the most user-friendly
object-oriented programming or OOP languages. It is also available as a free
source. It is very easy to learn and has many similarities with ruby,
javascript and PHP. It has a large number of pre-defined library functions,
which are highly useful for Machine Learning purposes.
3. Apache Spark- It is also one of the open-source
data analytics tools just like python. It provides various built-in APIs like
python, Java and so on. It also provides a very high processing speed. Apache
Spark is used by many organizations to process huge data sets.
4. Idea- Idea data analytics software is a
comprehensive and powerful data analytics tool. It can import data from any and
every data source and use it for analytical purposes. It is used by a many data
professionals to produce accurate results.
5. Excel- It includes a huge variety of powerful
features like VBA, Pivot table and form creation. Although it is not suited for
big data, it is the best tool to work with a small amount of data. It does not
require the user to be a skilled programmer.
6. Tableau Public- Tableau Public is another free
software and much similar to Microsoft’s Excel. Unlike Excel, Tableau can be
used in working with big data. Data can also be represented in a much better
way of using Tableau than Excel.
7. Rapidmine- Rapidmine is also an integrated
and powerful platform to work with a huge amount of data.
8. Knime- Developed in 2004, Knime is one of the best
tools which allows us to analyze the data through visual programming. It is
highly useful for machine learning and data mining purposes.
9. Zoho Analytics- Zoho analytics allows the user to
visually analyze any form of data. It is also backed by an Artificial
Intelligence-based assistant, which helps the user to get meaningful answers in
the form of reports.
10. SAS- It provides a programming environment for the
user to work with a huge amount of data. It was initially launched in 1966 and
since then it has undergone many updates and developments. It can also analyze
data from various sources.
In conclusion, business analytics plays a very important role
and helps business firms to make important decisions with the proper
information.
Resource Box
After knowing the significance and power of business analytics,
you might be aspiring to begin as a data analyst. If yes, then a course is very
important for you, which would provide you with the right study materials, and
test your knowledge from time to time.
Thinking which course to choose? Where to get a good start?
ExcelR is now providing one of the best data analytics course. So, hurry up and enroll.
YOU have explained theses tools and I am overwhelmed by your post with such a nice topic. Usually I visit your blogs and get updated through the information you include but today’s blog would be the most appreciable. Well done! if you want to get practical knowledge about these tools thendata analyst course in pune is the best way to learn . wish you good luck
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