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Discovering the Barriers to Effective Data Analysis

In the age of AI, the rapid evolution of technology has sparked countless discussions around data-driven decision making. However, the year 2026 shines a light on a significant paradox within the industry: despite advanced AI capabilities, fundamental challenges in data analysis remain unsolved. These persistent issues will be at the forefront of Data→AI Meetup 2026, taking place on April 17, 2026 at the BellSalle Onarimon Tower in Tokyo. This free event, which requires prior registration, aims to gather data analysts, industry leaders, and AI enthusiasts to delve into these key topics.

What Are the Core Challenges?

As AI technology makes strides in prediction and causal analysis, data-driven teams in operational settings often struggle with the following key challenges:

• - Fragmented Metric Definitions: Team members often define key performance indicators (KPIs) differently, leading to disjointed discussions and strategies.
• - Inability to Formulate Hypotheses: The abundance of data should ideally fuel insights, yet many teams find it challenging to develop actionable hypotheses for future steps.
• - Operationalizing AI Predictions: A crucial question remains: how can organizations effectively integrate AI predictions into their operational strategies?

These challenges represent the 'walls' that, regardless of how sophisticated AI becomes, organizations face without a solid foundation in their organizational structure and data processes.

Panel Discussion: Overcoming the Walls of Data Analysis

The event will feature a panel discussion with leading experts in data analysis, who will tackle the essence of these barriers. Key topics for discussion include:

• - Dividing Responsibilities Between AI and Humans: As AI continues to automate certain areas, where should human judgment and governance come into play?
• - Concrete Solutions Based on Real Data: Moving beyond idealistic views, we will showcase tangible action plans developed through experience in the gaming industry, geared towards thriving in 2026.
• - Pathways to Industry Standardization: How can individual company challenges be transformed into industry-wide standards to promote efficiency?

Real Insights from Industry Leaders

The panel will comprise seasoned professionals, including consultants who have supported numerous titles in the gaming industry and top publishers. The goal is not merely to share success stories but to engage deeply with the very pain points that data analysts face. By focusing on real-world challenges, we aim to extract valuable insights that circumvent superficial discussions.

Data analysis should go beyond mere report generation. We aspire to empower professionals to genuinely transform data insights into robust business growth through AI capabilities. The upcoming meetup promises passionate discussions that will resonate with all who are dedicated to advancing their data-driven strategies.

Event Overview

• - Event Name: Data→AI Meetup 2026 - Building True AI Agent Teams from Data
• - Date: April 17, 2026 (Friday), 1:00 PM - 6:00 PM (After Party from 6:00 PM)
• - Venue: BellSalle Onarimon Tower (3F & 4F, 1-1-1 Shiba Park, Minato-ku, Tokyo)
• - Cost: Free (Registration Required)
• - Capacity: 250 participants
• - Organizer: ThinkingData Co., Ltd.

Free registration is currently open. Don’t miss this opportunity to engage in transformative conversations that could shape the future of data interaction in the rapidly evolving AI space. Meanwhile, for any inquiries regarding this event, please contact the ThinkingData Meetup Office at [email protected].

About ThinkingData Co., Ltd.

Founded in 2015, ThinkingData Co., Ltd. is a leading data solution company with offices in Tokyo, Shanghai, Singapore, Seoul, and San Francisco. It has supported over 1,500 companies in executing data-driven strategies primarily within the gaming industry. Their flagship product, ThinkingEngine, provides an all-in-one platform for data collection, real-time analysis, visualization, and actionable execution. ThinkingData is committed to adopting a data-centric approach across various industries, aiming to enhance critical decision-making processes.

For more information on our services, visit ThinkingData Website.