By 2025, data will no longer be just numbers on paper or tables in documents, but will become the heart of every decision. Amidst the rapid advancements and widespread use of AI, Supercomputers, and Big Data, data analytics tools are essential for businesses to maintain a competitive advantage. Therefore, we present 7 data analytics tools that businesses must know
This article will introduce widely used and popular tools for business data analysis. The aim is to familiarize users with their uses and capabilities, providing knowledge for data management and the appropriate selection of tools to maximize the effectiveness of data utilization
7 Data Analytics Tools Businesses Need to Know
1. Power BI
Power BI is a data analytics platform that enables users to create powerful reports, data visualizations, and dashboards. It supports data extraction from various sources such as Excel, databases, websites, and other files, and allows for data sharing with other users, making it an ideal tool for visualizing data for decision-making within organizations
2. Tableau
Tableau is a data analytics platform focused on interactive data visualization, making it easier for users to analyze and understand data. It allows for data sharing with other users and supports connectivity from various sources, such as online databases and the cloud. Tableau is ideal for creating dashboards and telling data stories to aid decision-making within organizations
3. KNIME
KNIME (Konstanz Information Miner) is an open-source, drag-and-drop data analysis platform that allows users to create workflows for data processing, data modeling, and machine learning without writing any code. It supports integration with various programming languages such as Python and R
4. Orange
Orange is an open-source, drag-and-drop data mining and analytics platform that allows users to quickly create workflows, analyze data, and visualize data without requiring advanced programming skills. It is suitable for both beginners and experienced data analysts
5. Rapidminer
RapidMiner is a data analytics platform that allows users to easily perform data mining, machine learning model building, and predictive analytics through a drag-and-drop interface. It supports connections to a wide variety of data sources, enabling users to fine-tune and test models for improved accuracy and create reports or dashboards
6. Python
Python is a flexible and powerful programming language used in a wide variety of tasks, such as data analysis, web development, machine learning modeling, and AI. It has numerous tools and libraries, such as Pandas, NumPy, and Matplotlib, that make data analysts' work easier
7. R
R is a widely popular programming language and environment for statistical computation and data visualization. It provides tools for in-depth data analysis, statistical modeling, and complex graphical visualization of data, and supports the work of large datasets
If you need advice on data analysis, we are happy to provide consultation and solutions
You can contact us at:
For more information, please visit the page http://bit.ly/rdbipage
Line OA: @rdbi
Tel: 02-681-9700
Email: sales@rdbi.co.th 🌟
🌟If you are interested in training with us, whether it's Power BI, Tableau, or Business Analytics
Further details can be found at https://demo.rdbi.co.th/services/training-services/