As part of WCT’s 𝗗𝗮𝘁𝗮 𝗘𝘀𝘁𝗮𝘁𝗲 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (DEM) practice, we enable our customers to quickly transform fragmented, legacy, and high-maintenance data environments into a modern, secure, and analytics-ready data estate—typically within 4–12 weeks. Our approach brings the right expertise, proven methodologies, and pre-built accelerators to deliver rapid modernization with minimal disruption.

𝗧𝗵𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲: Reduced technical debt, improved governance, lower operating costs, and a data foundation that allows your business to scale AI and advanced analytics with confidence.

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗼 𝗵𝗲𝗿𝗲:

Conduct a comprehensive Assessment of your current data landscape, operational challenges, and business bottlenecks
Define a future-ready target data architecture on the platform of your choice, Microsoft Fabric or Azure Synapse Analytics
Migrate and modernize your critical data, models, and pipelines with minimal disruption
Establish enterprise-grade governance, observability, security, and cost-optimization frameworks
Empower business teams with trusted, high-quality data and intuitive self-service analytics capabilities

You Choose right-fit platform, Fabric or Synapse and we take care of everything else to get you production-ready in weeks, not months

𝗢𝗽𝘁𝗶𝗼𝗻 𝟭: 𝗠𝗼𝘃𝗲 𝘁𝗼 𝗙𝗮𝗯𝗿𝗶𝗰 𝘄𝗶𝘁𝗵 𝗪𝗖𝗧

Best when: You want a single, unified data and analytics experience with strong Power BI integration and less platform overhead.

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿

Assessment of current warehouses, marts, reports, and pipelines
Fabric workspace and OneLake structure, security model, and basic governance
Migration of 1–3 priority domains into Fabric (data, models, reports)
Initial set of Fabric-based dashboards and data products

Hand-off with playbooks and training for your data and BI teams

𝗛𝗼𝘄 𝗶𝘁 𝘁𝘆𝗽𝗶𝗰𝗮𝗹𝗹𝘆 𝗿𝘂𝗻𝘀

• Weeks 1–2 – Assess current estate, pick first use cases, design target setup

• Weeks 3–6 – Stand up Fabric, migrate and build a working pilot

• Weeks 7–12 – Expand to more domains and harden operations (monitoring, governance, adoption)

We use our own accelerators (e.g., for moving existing models and reports, unifying customer/subject data, handling documents and semi-structured data) to shorten timelines and reduce risk.

𝗢𝗽𝘁𝗶𝗼𝗻 𝟮: 𝗠𝗼𝘃𝗲 𝘁𝗼 𝗦𝘆𝗻𝗮𝗽𝘀𝗲 𝘄𝗶𝘁𝗵 𝗪𝗖𝗧

Best when: You want more control over the platform, prefer a PaaS-style architecture, or plan a phased journey that may later include Fabric.

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿

Assessment of current data warehouse(s), marts, ETL, and reporting
Synapse workspace and data lake zone design (raw, curated, semantic)
Migration of a first priority workload (e.g., finance, sales, operations)
Optimized models and pipelines ready for BI and downstream apps
Runbooks, monitoring setup, and guidance for operating the platform

𝗛𝗼𝘄 𝗶𝘁 𝘁𝘆𝗽𝗶𝗰𝗮𝗹𝗹𝘆 𝗿𝘂𝗻𝘀

• Weeks 1–2 – Assess existing estate and design the target Synapse setup

• Weeks 3–6 – Build the foundation and deliver a working pilot workload

• Weeks 7–12 – Migrate additional domains, tune performance, and stabilize operations

Again, we lean on repeatable patterns, accelerators and templates to avoid “one-off” builds and give you a platform you can extend.

𝗪𝗵𝘆 𝗪𝗖𝗧?

• Clear starting point: 2-week assessment that ends with a simple, prioritized plan for Migration

• Cross-functional PODs: Data engineers, BI developers, and platform engineers working as one team with your stakeholders

• Accelerator-driven: Reusable code, templates, and patterns from past projects baked into your project from day one

• Value-focused: First use cases chosen for visible business impact, not just “plumbing”

• Adoption-minded: Training, documentation, and simple ownership models so your teams can run and extend what WCT builds

𝗟𝗲𝘁’𝘀 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝗪𝗮𝗳𝗲𝗿𝗪𝗶𝗿𝗲 𝗖𝗹𝗼𝘂𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀. 𝗬𝗼𝘂𝗿 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗳𝗼𝗿 𝗰𝗹𝗼𝘂𝗱 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘀𝘂𝗰𝗰𝗲𝘀𝘀

Education

教育 に関する アプリ 件の結果

教育に関するアプリ件の結果