Power BI
Power BI is Microsoft’s Data Analysis Tools. It provides enhanced Interactive Visualisation and capabilities of Business Intelligence. Power BI achieves all this while providing a Simple and intuitive User Interface. Being a product of Microsoft, you can expect seamless integration with various Microsoft products. It allows you to connect with Excel spreadsheets, cloud-based data sources and on-premises data sources.
Power BI is known and loved for its groundbreaking features like Natural Language queries, Power Query Editor Support, and intuitive User Interface. But Power BI does have its downsides. It can not handle records that are bigger than 250 MB in size. Besides, it has limited sharing capabilities, and you would need to pay extra to scale as per your needs,
Features:
- Great connectivity with Microsoft products
- Powerful Semantic Models
- Can meet both Personal and Enterprise needs
- Ability to create beautiful paginated reports
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