Self-service data analysis tool Alteryx

Ladies and gentlemen, do you have any concerns about using Excel for data aggregation and report creation in your daily work? - Spending hours every month matching multiple Excel files through copy-pasting or VLOOKUP - When opening large datasets, your PC freezes, and you have to wait until the processing is complete - The macros you've created are too complex for anyone other than the creator to fix (dependency on individuals) Alteryx is generally recognized as a "self-service data analytics platform" and a "no-code/low-code ETL tool." While the first benefits that come to mind when implementing Alteryx may be efficiency and automation, the advantages of adopting Alteryx go beyond just that. In this seminar, we will introduce how Alteryx can streamline and automate the tasks you struggle with daily in Excel, and how it can help you step up to more advanced analysis, along with specific use cases.

Are you feeling challenges such as a lot of manual work, time-consuming processes, a high likelihood of errors, and a reliance on specific individuals, even though you are using Excel, VBA, and Access for data processing in your daily operations? Even if you want to promote DX (Digital Transformation), there are often high technical hurdles, and you may not know where to start, leading you to rely on your current business flow. In this webinar, we will explain how to automate traditional tasks performed with Excel, VBA, and Access using the data analysis tool "Alteryx." We will discuss methods and benefits of automating data processing and report creation through use cases and demonstrations. This content will be useful for those looking to improve operational efficiency or wanting to utilize data. We look forward to your participation. *This is a recorded broadcast of the webinar held in May 2025.

Since the emergence of ChatGPT, the utilization of data in business has entered a new stage of "how to leverage generative AI." However, many may be struggling with how to effectively use generative AI. Additionally, it is crucial to organize data in order to utilize generative AI effectively. To improve the accuracy of generative AI, the data needs to be structured in a way that is suitable for analysis. Alteryx can address this challenge from both sides. Alteryx is a no-code (GUI-based) tool that allows for data processing and analysis. By using the generative AI tool (GenAI tool) released in the new version of Alteryx, it becomes possible not only to process data but also to incorporate generative AI into the data processing workflow. This makes it easier to handle even challenging text, such as free-text responses in surveys. In this webinar, we will introduce examples of incorporating generative AI functions into data processing flows. Rather than just using it for one-off chats, we will present specific ways to utilize generative AI within the data processing workflow.

Recently, we often hear stories about how "business efficiency has been improved using AI (artificial intelligence)" and "data analysis has solved problems." However, even if one wants to utilize it, there are many cases where they cannot grasp how AI is being used, find it interesting but feel it seems difficult and hard to approach. In this webinar, we will explain the basic overview of AI and the fundamental steps to implement AI projects in the field. The content will be easy to visualize, covering the steps and points to note when actually implementing a project, as well as the entire process from data preparation, storage, and analysis to the use of AI and machine learning, in conjunction with a data infrastructure. Additionally, for those who want to try using AI and machine learning, we will demonstrate the process of creating a machine learning model using a no-code (no programming required) tool that allows for building machine learning models. This content will be useful for those who want to understand AI broadly, those who want to conduct data science projects, and those who want to try using AI and machine learning. We look forward to your participation. *This content is similar to the webinar held in June 2025.