All Foundries

商品管理と取引

データに基づくインサイトと、セキュアで機動性の高いプラットフォームにより、グローバルな商取引を支えるトレーディングエコシステムを変革します。

顧客とマーケティング戦略

パーソナライズされたつながりある体験を通じて顧客エンゲージメントを再構築し、信頼と長期的な価値を築きます。

デジタルエンジニアリング

アイデアをスケーラブルなデジタルソリューションへと転換し、デザイン・テクノロジー・エンジニアリングの力で加速させます。

ステーション・スタジオ

デジタルイノベーションでモビリティハブを再定義し、移動中の人々と企業に、よりスマートでサステナブルな体験を創出します。

サプライチェーン＆インダストリー5.0

変化を予測し、目的を持って効率性を実現する、強靭で知的な供給ネットワークを構築します。

サステナビリティ

責任あるイノベーションを推進し、組織がネットゼロ目標を達成し、将来の世代に良い影響をもたらすよう応援します。

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Four business units, one technology roadmap after the merger

After an acquisition, a retail group ran four business units on four technology stacks. NTT DATA mapped processes, applications, ERP, CRM and infrastructure across all of them and designed a low-risk transition roadmap. The group now works from a prioritized portfolio of initiatives, with synergies identified for each unit.

Four business units, one technology roadmap after the merger

小売

A pharmacy retailer grows average ticket by 8% and lab services sales by 18%

Pharmacy and health retailers compete on the visit itself: the counter, the advice, the lab test. This retailer measured its digital maturity with NTT DATA, organized more than 16 initiatives into cross-functional work cells and tracked each result. Average ticket rose 8% and lab and diagnostic services sales grew 18%.

A pharmacy retailer grows average ticket by 8% and lab services sales by 18%

お問い合わせ

Renewable Data Strategy & Governance Transformation

Renewable projects do not move from development to operation through technology alone. They depend on information that remains reliable as assets pass from engineering and construction into operations and maintenance. For a renewable and power generation business, the initiative established a lifecycle data strategy that reinforced BIM implementation, connected BIM with other project and asset information sources, and created the governance foundations needed for future analytics, AI and digital engineering use cases.

Engineers at a renewable power generation site reviewing asset information across wind and solar infrastructure.

Lifecycle continuity

Asset context preserved across phases.

Data fragmentation

Engineering and O&M information connected.

Information reuse

Project data prepared for commissioning.

Digital engineering

Foundation for analytics and digital twins.

Renewable operations and construction teams reviewing asset records during the handover from commissioning to maintenance.

Lifecycle data governance for renewable assets

The transformation converted a broad ambition into a structured data foundation for renewable assets. By mapping processes, information flows, systems, capabilities and improvement opportunities, the work created a common view of the target state and a sequenced roadmap for execution.

Renewable growth creates a data challenge before it creates an analytics opportunity. As projects generate engineering, construction and asset information across multiple tools and teams, organizations need a consistent model that keeps asset knowledge usable beyond commissioning.

目的

The objective was to establish a lifecycle data foundation capable of preserving renewable-asset context from project development through construction, operations and maintenance. This included reinforcing BIM implementation, integrating asset information sources, and defining the governance and roadmap needed to move from isolated digital initiatives toward a coherent target state.

機会

With a consistent asset data model and a prioritized transformation backlog, the organization can reuse the operating and technology pattern across renewable project portfolios. The work also creates a more credible path for later digital engineering, analytics, AI and digital-twin capabilities, provided the business continues to validate data quality, ownership and adoption across lifecycle phases.

Turning renewable asset information into a trusted lifecycle foundation

The challenge was not only to connect data sources. The initiative needed to fit the client operating context, make available information consistent, and produce outputs that business, engineering and operational teams could trust and reuse.

主な課題

Renewable project teams managing separate engineering documents and asset records near wind and solar construction equipment.

1: Fragmented project and asset information
Renewable projects generated engineering, construction and asset information across multiple tools and teams, creating a need to reduce fragmentation before later lifecycle reuse could scale.

Engineering specialists comparing renewable asset models, drawings and equipment records to build a common lifecycle data model.

2: Limited continuity between project phases
Without an integrated model, information risked becoming disconnected between project development, construction and later operations and maintenance.

Business, technology and operations stakeholders aligning priorities at a renewable energy project site.

3: Need for a shared transformation view
Business and technology stakeholders needed a common understanding of current capabilities, pain points, dependencies and priorities.

Senior renewable project leaders reviewing phased commissioning and governance materials at an active project site.

4: Broad ambition requiring execution discipline
The transformation had to move from a wide data and digital engineering ambition into concrete initiatives with sequencing, ownership and a realistic path from discovery to implementation.

解決策

A phased data strategy connecting BIM, asset information and governance

The delivery approach combined data strategy, process discovery, technology capability assessment and roadmap design. Together, these components created an end-to-end chain from information capture and preparation to trusted reuse across the renewable asset lifecycle.

BIM-connected data strategy

NTT DATA established a Single Data strategy that reinforced BIM implementation and connected BIM information with other project and asset data sources.

Consistent asset data model

The initiative created a common asset data model before operations began, supporting continuity across design, construction, operations and maintenance.

Structured discovery and alignment

A structured discovery approach mapped processes, information flows, systems, capabilities and improvement opportunities across business and technology stakeholders.

Prioritized roadmap and governance foundations

Findings were translated into prioritized initiatives and a roadmap linking business needs with data, technology and operating-model changes, while defining governance foundations for later analytics, AI and digital engineering use cases.

影響

A clearer foundation for renewable asset intelligence

The reference provides decision clarity and lifecycle continuity. Stakeholders gain a common target state, a prioritized transformation backlog and a basis for investment and implementation planning. The work supports reduced fragmentation between engineering, construction and O&M data, improves the conditions for reusing project information after commissioning, and establishes foundations for future digital engineering, analytics and digital-twin capabilities. No project-specific measured operational uplift was published in the reviewed source.

注目の成功事例

デジタル化されたサービス管理による現場業務の強化と、コネクテッドワーカー技術による安全性の向上

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