Enhancing Data-Driven Decision Making through AI Collaboration
In a notable collaboration, Circlace, a leader in supporting corporate growth through AI and digital solutions, partnered with Polyplastics, a member of the Daicel Group specializing in manufacturing polymers and plastics. Both companies are headquartered in Tokyo, Japan.
The partnership marks a significant step in the engineering plastics industry, aiming to address the pressing need for sustainability and adaptability amidst fluctuating supply chains. By integrating automatic monitoring of KPIs with in-depth, on-the-ground analysis driven by the workforce, the collaboration is set to elevate decision-making capabilities at all levels.
The Vision Behind the Collaboration
Circumstances in the engineering plastics sector compel a unified approach to analyzing data spanning demand, production, and quality. Historically, Polyplastics faced challenges as data management was siloed within separate departments, leading to a scenario where only a handful of analysts could synthesize and interpret data. This collaboration aims to standardize data governance and architecture while fostering a culture where everyone can propose improvements based on data-driven insights.
Key Objectives and Framework
Central to this initiative is the utilization of Tableau, a powerful data visualization tool that will enable the creation of a centralized dashboard to visualize crucial KPIs. This dashboard will facilitate decision-making based on common facts, from executive management to on-site personnel. Additionally, integrating Tableau Pulse will allow ongoing AI monitoring of KPI changes, summarizing vital points in natural language, thereby providing a seamless analytical experience without the need for constant dashboard access.
Cultivating a Self-Sufficient Data Organization
The partnership includes support for transforming into a self-sufficient data organization through training sessions, referred to as “Tableau Boot Camps.” These workshops will be designed for cross-departmental participation to enhance data-related skills. Aiming to place a