- All Foundries
- 商品管理と取引
- 顧客とマーケティング戦略
- デジタルエンジニアリング
- ステーション・スタジオ
- サプライチェーン＆インダストリー5.0
- サステナビリティ
- Physical AI
- Next-Gen Infrastructure
Data Monetization & Intelligent Experience Platforms
Operators hold signals across products, channels, service interactions and networks. When those signals remain fragmented, teams cannot see the whole customer journey. When they are combined without a clear purpose, trust and compliance risk grow. The opportunity is to build a governed data foundation that improves decisions, experiences and new propositions while respecting what each data point may legitimately be used for.
Connect governed customer data to the decisions and journeys where it can improve relevance, reduce friction and create a clear, permissible value exchange.
Connect relevant signals across products, brands and interactions so teams understand what the customer is trying to do and where the experience breaks down.
Use segmentation and decisioning to improve onboarding, service recovery, care and next-best actions, with the customer context carried consistently across channels.
Package permitted, aggregated or appropriately anonymized insights around a clear decision or market need, rather than treating raw personal data as the product.
Make purpose, transparency, consent where required, data minimization, access controls, retention and accountability part of the product design.
NTTデータのサポート体制は？
Prioritize customer, operational and partner use cases around a specific decision, user, value exchange and permitted data purpose.
Unify relevant signals across products, brands, digital channels and customer care; strengthen identity resolution, data quality and lineage so teams can rely on the customer view.
Apply analytics to move from broad segments toward contextual decisions, with explainability, controls and clear human accountability.
Connect web, app, messaging, voice and service journeys so customers do not have to restart the conversation every time they change channel.
Establish ownership, purpose controls, consent and preference handling, access, quality, retention, monitoring and partner rules so value can scale without weakening trust.
One national telecommunications provider defined the use cases and core capabilities needed for omnichannel personalization at scale. Another major European operator deployed a customer data platform to unify customer signals. These examples demonstrate delivery experience, while quantified commercial outcomes still require validation before publication.
Measure progress through better context, more consistent journeys and reusable data products, with ownership, permitted use and customer impact visible at every step.
Focus investment on the customer moments and data products with a clear owner, measurable outcome and acceptable data use.
Improve the quality and availability of context across marketing, sales and service instead of creating another disconnected data store.
Carry relevant history and intent between digital and assisted channels so the next interaction begins with context.
Create reusable, governed data products and insight services whose adoption, quality, customer impact and economics can be measured.
Start the strategic conversation that connects data, experience, governance and growth.
