All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

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.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

Data Academy

A department store retailer in Mexico worked with NTT DATA to build an interdisciplinary analytics academy that moves data capability closer to the business. The initiative defined four training profiles, a competency framework, a tailored curriculum and a pilot with 28 collaborators, creating an execution model ready to scale.

Interdisciplinary retail team walking through a modern department store before opening.

4 training profiles

Defined for tailored learning

30+ learning hours

Planned for each profile

28 pilot participants

Reported in the source overview

Scale-ready model

Curriculum and execution model

Cross-functional retail team using shared data during a department store floor walk.

From data tools to data capabilities: an in-house analytics academy

Data investments move closer to value when business teams can use them.

Objectives

Develop business capabilities to maximize the value of data.

Opportunity

Build a repeatable learning model that can extend data literacy across the business as the academy scales.

Building capability around the platform

The initiative needed to turn a broad data ambition into a learning model that reflected different roles, established a shared capability baseline and could move from pilot to scale.

Key Challenges

Three department store colleagues from different roles comparing paper learning materials on the sales floor.

1: Role-specific learning needs
Training needed to reflect distinct responsibilities instead of treating every learner as the same.

Hands arranging data charts, color samples and retail planning materials on a merchandising table.

2: Shared capability baseline
The academy required a competency framework to define what each profile needed to learn.

Data specialist leading a practical analytics workshop in a department store stockroom.

3: Curriculum and delivery design
The initiative needed a structured curriculum and execution model for more than 30 hours of personalized learning per profile.

Retail employee and data mentor connecting a tablet insight to a home-goods display.

4: Pilot before scale
The model had to be implemented and evaluated with an initial participant group before wider rollout.

Solution

An interdisciplinary academy designed around business roles

NTT DATA brought together data specialists at different levels to shape the academy from profile design through pilot evaluation and scaling.

Four learning profiles

Identified four training profiles so learning could be aligned to different business needs.

Competency framework

Defined the capabilities required for the academy and connected them to each training profile.

Personalized curriculum

Designed the training curriculum and execution model, with more than 30 hours of personalized learning for each profile.

Pilot and scale path

Implemented and evaluated a pilot with 28 collaborators, then prepared the curriculum and execution model for scaling.

Impact

Data literacy becomes an internal capability

The initiative established a structured way for the retailer to grow its own data capability. With four profiles, personalized learning paths and a pilot implemented and evaluated, the curriculum and execution model provide a foundation for scaling the academy.

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