KNIME
KNIME is an Analytics Platform and a data analysis tools. It is Open Source and features an User Interface which is intuitive. KNIME is built with scalability and also offers extensibility via a well-defined API Plugin. You can also automate Spreadsheets, do Machine Learning, and much more using KNIME. The best part is you don’t even need to code to do all this.
But KNIME does have its issues. The abundance of features can be overwhelming to some users. Also, the Data Visualisation of KNIME is not the best and can be improved.
Features:
- Intuitive User Interface with drag and drop function
- Support for extensive analytics tools like Machine Learning, Data Mining, Big Data Processing
- Provides tools to create high-quality visualizations
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
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