Popular Analytic Tools in Market

Data analytics are the qualitative and quantitative techniques and processes used to enhance business gain. When we heard this name one question strike in our mind that “What is the need of this big data analysis?” following key points may give answer to your question;

•    To understand business direction and objectives

•    To explore the meaning behind the numbers and figures in data

•    To analyze the causes of certain events based on data findings

•    To contribute to business decision-making by offering educated opinions

To analyze big data in business we require some powerful tools. So, in this article, we are going to see what various data analytic tools are available in the market. So, there are mainly two types of tools are available one is Open Source Analytics Tools, and another is Commercial Analytics Tools.

A.    Open Source Analytics Tools: Some Open Source Analytics Tools are

1.    Microsoft R.

2.    Python

3.    Apache Spark

4.    Orange data mining

5.    Tableau Public

6.    R software environment

7.    Apache storm and many more.

B.    Commercial Analytics Tools: There are some most popular paid analytics tools given below

1.    Tableau – It’s an easy to learn software and used for mining of your data, creating great visualizations and dashboards. It can create much better visualizations than Excel.

2.    QlikView –This software is also used as a business intelligence tool. It helps to create dashboards and data visualization. But Tableau gives us much better graphical user interface and is easier to learn.

3.    Splunk – This software is used for searching, monitoring, analyzing and visualizing the big data.

4.    SAS- It stands for statistical analysis software. SAS is also portable across computing environments. SAS applications function the same and produce the same results regardless of the operating environment on which you are running SAS to process your data.

By Pravin Ambre