Recently, Microsoft announced plans to invest $2.9 billion in establishing data centers in Japan over the next two years. This investment, aimed at bolstering the global development of generative AI, marks Microsoft’s largest commitment in Japan to date. As data plays a pivotal role in technological advancement, it has become increasingly vital for businesses looking to grow in today’s competitive landscape. Efficient data management tools are essential for companies aiming to build competitive advantages and embrace high-quality development.
Despite the evolution of data platforms, many still face challenges, including limited functionality, slow algorithm updates, and high barriers to user engagement. Founded in 2020, Shushi Technology specializes in data intelligence products tailored for finance, high-tech manufacturing, and retail sectors, offering AI-driven analytical and marketing solutions based on large models. The recent launch of its next-generation metrics platform, SwiftMetrics 3.0, integrates advanced data analysis tools for enhanced data management and smart marketing, optimizing both metrics and marketing efforts.
During a recent discussion, Dr. Li Kofeng, founder and CEO of Shushi Technology, shared insights into the product development philosophy and emerging digital trends. SwiftMetrics 3.0 serves as an integrated tool for metrics management, providing intelligent and user-friendly analytical decision support. As Business Intelligence (BI) tools evolve, SwiftMetrics 3.0 addresses the increasing complexity of corporate reports, particularly in metrics management. Traditional data warehouse and BI models often depend on cumbersome manual processes, which can delay responsiveness to data needs. In contrast, SwiftMetrics 3.0’s fully automated solution significantly boosts operational efficiency and data processing capabilities.
Upon logging into the platform, users can independently create metrics. SwiftMetrics 3.0 boasts one-click integration that enables users to retrieve data with ease and automatically generate data lineage, tracking the origins of data processing and identifying anomalies in reports. The platform features intelligent anomaly detection: if any abnormal data is found, an automatic alert is triggered to highlight the issue. Variations in metrics often occur in business analysis—such as discrepancies between gross and net figures—complicating adjustments during changing business conditions. SwiftMetrics 3.0 simplifies this process by automating metric adjustments, allowing users to create relevant configurations based on descriptive scenarios.
Additionally, SwiftMetrics 3.0 enhances functionality with the SwiftAgent intelligent analysis assistant, developed using large models from China. This assistant supports multimodal query interactions, enabling users to input different data types—text, voice, and Excel—without needing technical skills like SQL or Python. For instance, users can query, "Why did sales decline in South China last quarter?" SwiftMetrics 3.0 automatically collates pertinent data, performs calculations, and presents the results through customized analysis charts.
Shushi Technology collaborates with leading Chinese large model providers, achieving successful implementations across retail, finance, and high-tech manufacturing sectors since the upgraded features' introduction. The company distinguishes between new and long-term clients, offering standardized products to newcomers while working with established clients to develop custom enterprise-level intelligent analysis assistants. As the client base expands, Shushi Technology aims to enhance product standardization, currently maintaining a favorable 70:30 ratio of standardized products to services.
Their flexible pricing strategy accommodates various customer needs, offering options for one-time purchases, subscriptions, and usage-based charges. To strengthen direct sales, Shushi Technology has established five regional sales teams across China and partnered with giants like Tencent, Baidu, and JD.com to deliver joint products and solutions.
According to Dr. Li Kofeng, digital transformation can lead to efficiency improvements of 50-80% within industries. Although 95% of businesses have invested in AI services, many struggle with effective implementation.
In retail, a data-driven approach is essential as online and offline sales channels increasingly converge. Traditional decision-making models relying on human experience are becoming outdated. Data platforms now play a crucial role in understanding customer preferences and delivering personalized services. Shushi Technology develops its products on a dual-layer framework, comprising a data asset layer focused on data interpretation for non-technical staff and a data application layer dedicated to practical implementations of business insights.
Dr. Li envisions Shushi Technology as a catalyst for democratizing data utilization and fostering tangible business value, thus accelerating data-driven decision-making across various sectors. The growing competition in enterprise digital solutions emphasizes the importance of integrating data with core business processes, revealing immense potential for innovation. By leveraging advanced large models, Shushi Technology is set to redefine how enterprises engage with their data, transforming complex figures into actionable insights that enhance decision-making.
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