5 Amazingly Practical Tools For Data Analysis

Data is continuously emerging with speeds and magnanimity we could never imagine. It is stated that data is more valuable than oil, but we know it can’t run your car. Nevertheless, since it contains confidential financial and business info, data has become the biggest commodity for corporations and industry moguls. For managing and manipulating this data in a structured form, data analytics tools are imperative.

Data analysis works on predictive modelling algorithms that helps analysts to maintain data in records and structured forms. Analysis is important for cost-reduction as well as for better and quicker decision making. Therefore, here are some of the most used and best analytics tools used in business intelligence and data mining. Let’s have a look at the list:

1. R


R is both the programming language and the software for data analysis and visualization. It is an open-source analytic tool that runs on most operating systems.

R contains inbuilt packages and allow you to browse through packages and have a fantastic medium to structure data. R programming come with powerful graphical capabilities, that enhance its analytical ability.

R is capable of handling several tools to import the data such as SPSS, SAS, CSV files and it can directly import data from databases like Oracle, MySQL, Microsoft Excel, Microsoft Access and SQLite.

Must Read: Best Open Source Data Integration Tools

2. Tableau


Tableau is a business intelligence and data analysis tool that anyone can use for creating visualizations such as graphs and charts. This helps in extracting data patterns and trends for attaining better business decisions. It helps visualize the data in both 2D and 3D dimensions.

Tableau now provides a simple but effective way to support databases and combine data from multiple worksheets in a single Excel workbook.

Tableau’s creators have managed to keep the tool simple and doesn’t try to bombard you with too many complicated functions. It offers capabilities for visualizing and manipulating your existing data as well.

3. SAS


SAS has always been a commercial analysis tool. It offers a vast array of statistical functions to manage big data. It has good graphical user interface for users to learn quickly and easily.

With SAS software you can also code in other languages like python and SQL. SAS is being used in travel and hospitality, healthcare and government projects. Once you are SAS certified you will be able to read, manage, access and manipulate data.

Here are some of the recently added modules of SAS: SAS analytics for IOT, SAS Anti-Money Laundering, and SAS Analytics Pro for Midsize Businesses.

4. QlikView

Qlik View

QlikView is a business intelligence application for guided analytics. This tool helps structure the data along with in-depth information and know how about every aspect. QlikView is powered by patented technology that enables several features necessary to creating enhanced reports from the data.

QlikView has many in-built functions, that can be immediately applied to existing data on your system. Its functions are organized into various categories and the syntax of the function appears as soon as it is selected and used.



KNIME is one of the latest and leading open solution for the data analytics and business intelligence. KNIME comes with over 1500 modules. In data analysis there are components that include mining, transformation and loading. KNIME does all three functions to make your data more structured.

It is an open source data analytics, integration and reporting platform. KNIME has the power to integrate several components for mining data with its modular data pipelining technology. And, has caught the eye of business intelligence and financial data analysis.

Must Read: Best 19 Free Data Mining Tools

If you are an inspiring data analyst and looking for tools to manage your corporation’s data, you should use these analytic tools. We hope you like this article and for any feedback please comment in section given below.

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