Data analysis is now one of the core functions of any data-driven organization. It allows businesses to convert raw data into useful information that can improve decision-making processes. The best thing about data analytics is that there are many tools on the market, both for professionals and those with limited experience in the field. These tools help you visualize, analyze, and track data so you can derive the insights you need to achieve your business goals.
AI in Analytics
AI is the driving force behind any effective data analytics strategy. It is a powerful, efficient and accessible way to process data.
Artificial intelligence examines huge amounts of data to find trends and patterns that can be used to gain insights to improve business processes. AI also helps streamline data analysis by bringing all data into one solution, allowing users to have a complete overview of the data. When AI and data are combined for predictive AI, users can develop predictions and analyze certain scenarios to determine the likelihood of success.
AI-powered data analysis tools are essential for any organization looking to succeed in this data-driven world.
Here’s a look at the 5 best AI tools for data analysts:
Julius AI is an intelligent data analysis tool that interprets, analyzes and visualizes complex data in an intuitive and user-friendly way. Its power lies in its ability to make data analysis accessible and actionable, even for those who are not data scientists or statisticians.
They support all data file formats including but not limited to spreadsheets (.xls, .xlsx, .xlsm, .xlsb, .csv), Google Sheets databases and Postgres.
After linking a data source, you can analyze it using natural language prompts on the talk page: try asking for information or ask Julius to create a visualization.
This tool is ideal for simple, easy-to-use projects.
Here are some of the benefits of Tableau:
- Link to a source directly in the chat interface.
- Analyze spreadsheets with multiple tabs.
- Strict access control, because each user only has access to their own data.
- Easy to use.
Another leading tool is Tableau, which is a data analysis and visualization platform that allows users to interact with their data. One of Tableau’s biggest selling points is that it doesn’t require any coding knowledge. With Tableau, users can create reports and share them across desktop and mobile platforms.
The data analysis tool supports data visualization and analysis to create reports that can be shared in a browser or embedded in an application. All of this can take place while Tableau is running in the cloud or on-premises.
The query language that the Tableau platform runs on is called VizQL, which translates the dashboard and drag-and-drop visualization components into back-end queries. It also requires little end-user performance optimization.
Here are some of the benefits of Tableau:
- Supports complex calculations, data fusion and dashboard creation.
- Quickly create interactive visualizations.
- Ease of implementation
- Handles large amounts of data.
Microsoft Power BI is another leading AI tool for data analysis. It is a very useful business intelligence platform that allows users to sort their data and visualize it for insights. The platform allows users to import data from almost any source and immediately start creating reports and dashboards.
Microsoft Power BI also allows users to create machine learning models and use other AI-based features to analyze data. It supports multiple integrations, such as a native Excel integration and an integration with Azure Machine Learning. If a business already uses Microsoft tools, Power BI can be easily implemented for reporting and visualizing data and creating dashboards.
Here are some of the benefits of Microsoft Power BI:
- Integrates seamlessly with existing applications.
- Creates custom dashboards.
- Helps publish secure reports.
- No memory and speed constraints.
Polymer is another great option for data analysts. It is a robust AI tool that offers powerful AI to transform data into a streamlined, flexible and powerful database. Similar to other great AI tools, one of the best aspects of Polymer is that it requires no coding.
The tool uses AI to analyze data and improve user understanding. Polymer achieves all of this without a lengthy integration process. All a user has to do is upload their spreadsheet to the platform to instantly transform it into a streamlined database that can then be explored for insights.
Polymer prides itself on being the only tool that makes a user’s spreadsheets “instantly searchable, intelligent and interactive.” The tool is used by a wide range of professionals including data analysts, digital marketers, content creators, and more.
Here are some of the advantages of polymer:
- Robust AI tool that transforms data into database.
- Requires no coding.
- Analyzes data and improves user understanding.
- Makes spreadsheets searchable and interactive.
Akkio, which is a business analytics and forecasting tool that allows users to analyze their data and predict potential outcomes, is nearing the end of our list of 5 best AI tools for data analysts. The tool is aimed at beginners and is ideal for users wanting to get familiar with their data.
The AI tool allows users to upload their dataset and select the variable they want to predict, which helps Akkio build a neural network around that variable. It is very useful for predictive analytics, marketing and sales. Like most of the other best tools on this list, Akkio doesn’t require any prior coding experience.
Akkio uses 80% of the uploaded data as training data, and the remaining 20% is used as validation data. Rather than predicting results, the AI tool provides an assessment of the models’ accuracy and eliminates false positives.
Here are some of the benefits of Akkio:
- No-code machine learning platform.
- Ideal for beginners looking to get familiar with data.
- Build a neural network around selected variables.
- Accuracy rating for models.
To close out our list of 5 best AI tools for data analysis, MonkeyLearn is another no-coding platform that uses AI data analysis features to help users visualize and reorganize their data .
MonkeyLearn includes several AI-powered text analytics tools that instantly analyze and visualize data as per user needs. It can also be used to configure text classifiers and text extractors, which automatically sort data based on topic or intent, as well as extract product features or user data.
By leveraging machine learning to automate business workflows and analyze text, MonkeyLearn can save hours of manual data processing. One of the features most appreciated by its users is MonkeyLearn’s ability to automatically extract data from tickets as they arrive. It classifies data by keywords and premium text analysis, highlights specific text and categorizes it for easy sorting and processing.
Here are some of the benefits of MonkeyLearn:
- Classifies text in labels in a simple way.
- Makes it easier to clean, organize and view comments.
- No coding required.
- Save hours by automating business workflows and analyzing text.
