DataMarket Strengthens Data Infrastructure Construction Support Services for Mid-sized Enterprises

DataMarket (headquartered in Shibuya-ku, Tokyo; Representative: Akira Iwasaki) is strengthening its three core services for mid-sized enterprises: 'Data Infrastructure Design and Construction,' 'Data Infrastructure Construction Support,' and 'Technical Consulting and Advisory.' These services are designed for companies considering AI-ready data infrastructure, those lacking sufficient construction resources, or those wishing to build internal knowledge. The company provides end-to-end support, ranging from current state assessment to minimal infrastructure design and long-term operational integration.

While AI implementation barriers are lowering, critical areas such as data definition, structural decision-making, access control, quality management, and operational design still require hands-on experience and professional judgment. DataMarket supports the preparation of data infrastructure, which is a prerequisite for AI integration.

Background: An Era Where Simply Owning Data Is Not Enough for Differentiation
Companies are accumulating increasing amounts of data from web traffic, advertising, CRM, sales, and customer support. However, many report issues such as siloed data, reliance on individual employees for aggregation, and underutilized BI tools. Furthermore, mid-sized enterprises often face significant hurdles in hiring dedicated data personnel.

Data infrastructure readiness remains low among Japanese firms. In reality, most enterprises either lack a mechanism for data storage or operate data in fragmented, department-specific silos.

Meanwhile, the advancement of AI-driven automation is rapidly changing this landscape. As experimentation with AI agents and LLMs grows, a new challenge has surfaced: 'We do not have the proprietary data ready to feed into AI.' The necessity for data infrastructure is being reconsidered, shifting from a BI-centric perspective to an AI-centric one.

Differentiation in the AI Era Depends on Proprietary Data
With general AI models accessible to everyone, competitive differentiation comes from proprietary company data. Only when primary information—such as sales history, customer behavior, support logs, and internal knowledge—is integrated into AI in a structured format can a company's competitive advantage manifest as an output. Conversely, without organized data infrastructure, companies will only achieve generic results despite AI implementation, failing to differentiate themselves.

Data Infrastructure Construction Services
DataMarket classifies corporate data infrastructure into four categories: 'Decision-Making/Management Metrics,' 'Marketing/CDP,' 'Sales/CS,' and 'Product Analysis.' With rich construction experience across all these categories, DataMarket characterizes its services by its ability to provide end-to-end design, including data models and operational rules, tailored to specific requirements.

Furthermore, the company is actively engaged in AI-driven infrastructure construction. Technologies like AI have enabled the utilization of previously difficult data, such as non-digitized documents or unorganized data. The company anticipates a future where design assumptions shift toward AI referencing and operation, beyond traditional BI and reporting. DataMarket provides infrastructure optimized for the AI era, focusing on design based on operational needs and ensuring that decision-making logic and operational rules remain within the client company.

Moreover, the company has extensive experience in peripheral areas (data governance, master data design, operational design), responding flexibly to each company's specific prerequisites.

Data Infrastructure Construction Support Services
For companies that want to build data infrastructure internally but lack manpower or expertise, DataMarket provides flexible support. Experienced senior consultants join the client team as immediate reinforcements or partners to build internal systems, focusing on leaving operational rules and decision-making rationale within the company.

Specifically, the firm provides support tailored to phases such as planning, PoC, implementation, and handover for in-house maintenance, or based on the maturity of data readiness. They cover necessary areas from tasks, roadmap creation, and technical verification to operational design, knowledge management, and training. Responding to the unique situation of each organization, they start with a minimal viable configuration and scale flexibly based on the client's current status and goals.

Technical Consulting and Advisory Services
As a monthly advisory service, DataMarket provides continuous support for data-related decision-making, including data utilization strategy, infrastructure configuration, and requirements definition before hiring. The service includes weekly meetings, chat support within one business day, document reviews, and attendance at board or planning meetings as needed—all provided on a flat-fee basis with no additional charges.