Self-service data analysis tool Alteryx

In today's society, where the promotion of digital transformation (DX) is advancing, many companies are attempting to utilize data to address issues such as labor shortages and improve operational efficiency. However, there are also companies that struggle to effectively promote data utilization due to a lack of IT literacy and data scientists. For example, they may face challenges such as handling vast amounts of data or the difficulties of implementation (such as workforce development). In this webinar, we will introduce the concepts and tips for data analysis. Additionally, we will discuss techniques for managing work smartly by leveraging AI in the field of data analysis. This is a webinar that we encourage everyone who wants to start utilizing data or those who wish to revisit the fundamentals of data utilization to attend! It has become a very popular webinar. We look forward to your participation!

In recent years, with the advancement of digitalization, companies have accumulated vast amounts of data. However, many companies face challenges such as "we have data, but we don't know how to handle it" and "data is isolated by department, lacking reliability (data silos)." No matter how vast the data is, if it cannot be valued, it is "a treasure wasted." In this webinar, we will explain the overall picture of data utilization step by step, from practical tips to streamline daily Excel tasks to advanced analysis using BI tools. We will organize the roles and specific applications of ETL for automating data processing, DWH (data warehouse) for centralized management, and BI tools for accelerating decision-making, and share the "mindset" needed to gain new insights centered around data. - Feeling limited by manual data aggregation in Excel - Data is scattered by department, making it difficult to see company-wide figures quickly - Want to know the "first step in data utilization" that can be started at the operational level If you have any of these concerns, please join us.