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Uzone.id – Have you ever felt overwhelmed by data? In today’s business world, making smart choices depends on understanding all that information. Thanks to Artificial intelligence (AI), this technology is revolutionizing data analysis, offering powerful tools to help you analyze data faster and more accurately.
The convenience provided by AI is not limited to visual content alone. Even complicated work such as complex data analysis, AI can ‘gobble’ it up to make your work easier.
As Bill Gates said, “Generative AI has the potential to change the world in ways that we can’t even imagine.”
He said, with generative AI, people have the ability to create new ideas, products and services that make life easier, more productive and more creative.
Here’s a list of the top 10 AI-powered data analysis tools to consider for your business:
1. Tableau
You don’t need to be good at coding to create and share reports using Tableau. This data analysis platform is supported by generative AI, predictive analytics, and Natural Language Processing (NLP), so it can easily create complex data visualizations automatically.
This makes it a useful tool for company leaders who want to get a comprehensive picture of their business, and also useful for non-technical employees who want to increase their potential by being more data-oriented.
2. IBM Watson Analytics
Powered by IBM’s intelligence technology, the Watson Analytics platform offers automatic data analysis and visualization. Also supported by machine learning technology, IBM Watson Analytics can perform predictive and prescriptive analysis, which is very useful for strategic and operational business planning.
This platform also supports natural language prompts or large language models (LLM), so it can understand the queries given by its users. Also, IBM provides an integrated self-service solution that allows users to access data to create dashboards and reports.
3. Google Analytics
This famous platform made by Google has been very useful in analyzing users’ behaviors, conversions, and Return on Investment (ROI). This tool is also famous for its prediction based on AI which can identify optimization and improvement opportunities.
4. Microsoft Power BI
Powered by AI, Microsoft Power BI provides features such as predictive analytics, anomaly detection, and natural language processing (NLP) support that help businesses make smarter and faster decisions.
Regarding data visualization, reporting, and analyzing complex data, Microsoft Power BI has been integrated with other Microsoft-made work applications, such as Excel. As a result, Power BI is the right choice for organizations that have subscribed to various services from Microsoft.
5. SAS Visual Analytics
This tool is one of the strong data analytics solutions thanks to its AI capabilities. SAS Visual Analytics, as the name implies, allows users to explore data in depth and gain valuable insights from the input data.
Supported by features such as predictive modeling, text analysis, and machine learning, this application helps businesses quickly identify relevant trends and patterns.
6. Qlik Sense
Qlik Sense is a cloud-native data analytics platform that allows users to combine multiple data sources and perform in-depth analysis.
Equipped with AI features, Qlik Sense can provide analytical recommendations that help businesses gain insights that they may have never obtained before.
Qlik Sense provides interactive dashboards and predictive analysis, and users can explore their data with teammates seamlessly.
7. TIBCO Spotfire
TIBCO Spotfire is commonly used as an analysis tool in the business realm and data scientists. Enhanced by sophisticated AI capabilities, Spotfire allows users to perform interactive data analysis, visualization, and predictive modeling.
With this platform, businesses can easily identify trends, analyze performances, and make more accurate data-driven decisions.
8. RapidMiner
Powered by AI and machine learning, RapidMiner can analyze datasets to uncover patterns and solve business problems.
This tool provides various features for data analysis, including predictive modeling, clustering, analysis, visualization, predictive analytics, and automation. Most of the features can be used automatically without the need to enter code, but users can also create custom analysis modeling if needed.
9. Alteryx
Alteryx is a data analytics tool that allows users to automate data analysis processes, from preparation to modeling.
Alteryx helps businesses identify patterns and trends quickly and accurately. This platform also offers extensive integration capabilities with various data sources, making it a flexible choice for a variety of business needs.
10. DataRobot
Finally, there is DataRobot which is embedded with machine learning technology to make it easier for users to create, test, and deploy predictive models quickly.
With DataRobot, businesses can take advantage of various AI features to identify business opportunities, reduce risk, and improve operational performance, such as predictive analytics.
Adopting AI-based tools for data analysis can provide a significant competitive advantage for businesses. From Tableau to DataRobot, these various tools offer the ability to process data more efficiently, produce deeper insights, and make more accurate and efficient decisions.
As a result, businesses can optimize their operations, improve performance, and achieve success in an increasingly competitive market.
