SAS
SAS stands for Statistical Analysis System. The SAS Software was developed by the SAS Institute, and it is widely used for Business Analytics nowadays. SAS has both a Graphical User Interface and a Terminal Interface. So, depending on the user’s skillsets, they can choose either one. It also has the ability to handle large datasets. In addition, SAS is equipped with a lot of Analytical Tools which makes it valid for a lot of applications.
Although SAS is very powerful, it has a big price tag and a steep learning curve, so it is quite hard for beginners.
Features:
- Ability to handle large datasets
- Support for graphical and non-graphical interface
- Features tools to create high-quality visualizations
- Wide range of tools for predictive and statistical analysis
Top 10 Data Analytics Tools in 2024
Day by day, we are moving towards a world driven by data, and in this world, we can’t ignore the importance of Data Analysis tools. Businesses are changing, and the ability to collect, process, and analyze data is the key differentiator as a Data-driven business will perform better. However, analyzing data is becoming increasingly complex every day because of the sheer amount of data being generated. This is why we need Data Analysis Tools. With these tools, businesses can understand their data and make informed decisions from the extracted valuable information.
Data Analysis Tools are there to help Data Analysts make sense of Data and perform necessary actions accordingly. This Software helps the company improve by increasing efficiency and profits. There are various tools for Data Analytics, and each one is different and provides some exciting features. Through this article, we will get to know about 10 Data Analysis Tools for beginners and businesses in 2024.
Table of Content
- What is Data Analytics?
- Top 10 Data Analytics Tools
- 1. Tableau
- 2. Power BI
- 3. Apache Spark
- 4. TensorFlow
- 5. Hadoop
- 6. R
- 7. Python
- 8. SAS
- 9. QlikSense
- 10. KNIME