株式会社YMYM Company

Services

Three layers for turning data into action.

Data Foundation Design

Before you apply AI, you need data worth applying it to. We design the foundation.

こんな課題をお持ちの企業へ

  • Data exists but is scattered — no unified enterprise-wide analytics
  • BI tools were deployed but dashboards go unused
  • Need a DWH but lack in-house BI talent

支援内容

  • Data asset inventory & requirements gathering
  • DWH / data mart design (logical & physical)
  • ETL/ELT pipeline construction
  • BI dashboard design, build, and user training
  • Legacy BI platform replacement & migration
Tech stack: Teradata / Snowflake / BigQuery / SQL Server / AWS Redshift / Power BI / Tableau / MicroStrategy
Typical duration: 2–6 months (depending on scale)
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AI & Workflow Automation

Vendor-neutral: GPT, Claude, AWS, n8n, Power Automate — the right combination for your needs

こんな課題をお持ちの企業へ

  • Routine tasks consume too many person-hours
  • Interested in generative AI but unsure how to embed it in operations
  • Stuck at PoC — can't get to production
  • Want to avoid vendor lock-in

支援内容

  • Business process analysis → automation target identification
  • Generative AI integration (GPT / Claude / Gemini / AWS Bedrock) for document summarization, classification, generation
  • Workflow automation via n8n / Power Automate with API orchestration
  • Microsoft 365 integration (Teams / SharePoint / Excel)
  • Serverless AI infrastructure on AWS (Lambda / Bedrock / Step Functions)
  • Guardrail design (data handling, human-in-the-loop approval)
  • Vendor-neutral technology selection advisory
Tech stack: GPT (Azure OpenAI) / Claude API / Gemini / AWS Bedrock / Lambda / Step Functions / n8n / Power Automate / Power Apps / Microsoft 365 / Python
Typical duration: 1–3 months
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Upstream Consulting

From vendor selection to in-house enablement — strategy through execution

こんな課題をお持ちの企業へ

  • DX mandate exists but no clarity on where to start
  • No internal capability to evaluate vendor proposals
  • Want to shift from full outsourcing to building in-house data/AI competency

支援内容

  • Data/AI strategy development (current-state analysis → roadmap)
  • Vendor selection support (RFP drafting, proposal evaluation, negotiation)
  • In-house capability plan (role definitions, training plans, team design)
  • PMO / technical advisor embedded in the project
  • Executive-level reporting & decision support
Tech stack: Technology-agnostic (neutral advisory, not tied to any vendor)
Typical duration: 3–12 months (retainer model available)
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