CLARITY – End to End

STRATEGY

Strategy
From Vision to Business Value

Turn data and AI into a strategic advantage. 

We define a clear direction and roadmap that link data and AI initiatives directly to business outcomes. We assess your maturity, define your data and AI strategy, and design the operating model and governance framework to support it. We establish roles, ownership, and processes to ensure compliance, quality, and security across all data assets.

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  • D ONE delivered the retailer’s first production-grade AI use case: an AI–driven assortment optimization system. The solution replaced intuition-based product placement with a data-driven approach customized for each store’s profile. A fully integrated, cloud-based pipeline used store-level data, expert insights, customer segmentation and advanced machine learning algorithms to recommend optimal assortments while considering regional constraints. A pilot across 20 test stores validated the approach, achieving a 4–6% net revenue uplift. The rollout re-assorted more than 300 stores and now provides monthly, store-level recommendations driving multi-million annual revenue gains.

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  • D ONE supported this client in becoming a data driven bank by co-creating a bankwide data strategy closely aligned with their business vision and strategic initiatives. In a series of structured workshops, business and IT stakeholders defined priorities, data requirements, and key use cases across business insights, predictive analytics, and AI, while assessing trends and ecosystem partners. The project established a value based framework that covers governance, architecture, data management, and analytics, including principles for data quality, privacy and security, platform and cloud strategy, integration of structured and unstructured data, and roles and responsibilities. The result is a concrete, actionable roadmap and operating model that guide future data investments, enable regulatory compliant reuse of data, and provide a foundation for scalable analytics and data driven products.

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  • D ONE helped a leading real estate and construction group design and roll out a Microsoft Fabric based data platform as the foundation for data driven decisions. Starting from one pilot use case, the platform integrates data from eight source systems into 70 KPIs and three standard dashboards for 120 users, replacing siloed reports with consistent insights. A structured “Fabric on the Road” program uses key use cases to show value, surface new ideas, and refine the enterprise wide data model, while a Data & Analytics Competence Center, governance blueprints, and learning paths enable self service analytics under central control and accelerate new reporting and analytics products.

FOUNDATION

Data Platform and Engineering

Build the backbone for data and AI at scale.

We partner with your teams to design and implement robust data architectures that make reliable, high-quality data available across the organization. We modernize platforms, automate data pipelines, and establish scalable engineering practices to ensure performance, compliance, and flexibility for future growth.

A soccer player in a white uniform and green shoes performing a mid-air kick in a stadium filled with a crowd.

  • D ONE designed a streaming-first Football Data Hub that captures key match events and exposes them in near real time to applications, broadcasters and analysts. The solution combines Kafka based streaming, a cloud independent data platform and a shared data model that supports reporting, analytics and future AI use cases. Built in data quality management uses rules and machine learning to flag and correct issues without interrupting data flows. The hub enriches the experience of more than 2 billion viewers and hundreds of thousands of fans in stadiums, enables moderators and TV networks to differentiate with new formats, and improves the game by making advanced analytics and insights globally accessible to clubs and players.

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  • D ONE worked with this regional hospital to implement a secure cloud data platform on Microsoft Azure and Databricks as the foundation for analytics, machine learning and research. The lakehouse ingested and consolidated data from core clinical, lab, HR, ERP and ticketing systems into a unified model, with automated pipelines, data quality checks and standardised transformations. The platform architecture used metadata driven orchestration and everything as code to manage storage, compute, environments and deployments, enabling rapid onboarding of new sources and use cases. A masking engine with pseudonymisation, VPNs, private links, encryption and role based access protected patient data in transit, at rest and in use in line with healthcare regulations. This engineering focused setup created a robust, scalable platform for future healthcare analytics, advanced registries and collaborative research with external partners.

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  • D ONE works with this insurer to design a Data & AI Platform that extends its existing Azure Databricks based data hub into a foundation for GenAI powered customer interaction. The architecture combines a central knowledge base, lab and factory environments, and agentic workflows to support chat, mail and phone bots that answer questions, route calls, propose email replies and assist call center agents in real time. A phased roadmap from proof of concept to MVP chat and phone bots includes red teaming, load testing and governance so the platform is secure, scalable and avoids vendor lock in while enabling rapid delivery of new AI use cases.

FOUNDATION

Analytics & Insights

Turn data into actionable intelligence.


We collaborate with business and technical stakeholders to build analytics capabilities that translate complex data into clear insights. We design analytical models, dashboards, and decision tools that empower teams to act with confidence.

Several large rolls of sheet metal in a factory or warehouse setting.

  • D ONE worked with a global metals manufacturer to design an Intelligent Spend Control Tower that consolidated procurement data across plants, vendors and categories into a single analytics ready view. The solution combined ERP and data lake integration with data quality pipelines, AI based item and vendor classification, and dashboards that monitored spend, anomalies and PO and contract compliance for key categories such as MRO, chemicals and packaging. Co creation with procurement, finance, operations and IT in agile sprints targeted more than 5 million USD in savings while establishing shared definitions, benchmarks and planning support. A value based commercial model with variable fees linked to realised savings aligned incentives and positioned the tower as a flagship for data driven cost management.

Low-angle view of tall modern skyscrapers against a cloudy sky.

  • D ONE worked with a major private bank to transform how relationship managers assess the impact of fee changes on revenue. A new pricing application allowed users to simulate any change in fees in milliseconds, cutting analysis time and enabling client conversations with instant, data based insight. Behind the scenes, a central pricing data model brought together all relevant pricing and revenue information into one source of truth for the bank’s Pricing & Revenue team. The project also introduced new ways of working with shorter delivery cycles and closer collaboration between business and analytics, laying the groundwork for an agile pricing and revenue capability.

Interior view of a modern building with a glass enclosed area featuring elongated vertical lighting fixtures, wooden walls, and a concrete ceiling, with large windows at the end.

  • D ONE worked with a real estate focused organisation to automate market intelligence on municipality level by combining multiple internal and external data sources in a cloud based analytics platform. A modern data warehouse with strong geospatial analytics replaced complex, parallel pipelines and manual updates of municipality changes, cutting operational effort and reducing errors. Starting from a first automated use case, the team set up the cloud infrastructure, defined selection criteria for tools, onboarded analysts and data engineers, and scaled the platform to support further market assessments and reporting products.

SCALE

Cloud Enablement and Automation

Accelerate innovation through secure, automated cloud environments. 

Together, we plan and execute cloud transformations that enhance scalability, resilience, and cost efficiency. We automate deployment, monitoring, and operations to deliver consistent performance and faster time to value.

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  • D ONE worked with this global technology manufacturer to build and scale an AI powered sales and support assistant on a cloud native architecture. Running on Azure with Kubernetes based services, the solution used Azure OpenAI and Azure AI Search behind a secure API layer, with infrastructure as code, automated CI/CD, monitoring and adversarial testing to standardise deployments and operations across regions. The assistant started as an internal copilot for agents and evolved into a customer facing chatbot that handled thousands of conversations and resolved around 40 percent of requests. Automated scaling, logging and retraining pipelines reduced manual effort, improved reliability and created a reusable cloud platform for future conversational and analytics use cases.

A digital visualization of a futuristic tracking or data transfer tunnel with numerous floating screens displaying images and data, with streaks of lights creating a sense of speed and high technology.

  • D ONE worked with a Swiss headquartered international retailer to design and implement a modern lakehouse platform and operating model. Domain based data ownership and a data product mindset gave business teams clearer accountability and easier access to trusted data. Infrastructure as code and automated governance reduced manual work for creating and maintaining data assets, improved compliance and lineage, and lowered audit risk. Built on a cloud native architecture with isolated sandboxes and CI/CD controlled promotion, the platform scaled across markets and accelerated delivery of analytics and AI use cases.

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  • D ONE helped a major retailer migrate its legacy Teradata data warehouse to a modern Azure Databricks platform, enabling cloud-native analytics at scale. Using automated code conversion and orchestrated data migration, the team established CI/CD pipelines with Git-based version control and one-click deployments for data and BI assets. The result was a 33% reduction in processing times, six-digit annual cost savings, and a DevOps-ready cloud foundation for future data and AI initiatives.

SCALE

AI and Data Solutions

Create tangible business value through AI and data-driven applications. 

We develop AI solutions that address real business challenges: from prediction and optimization to automation and personalization. We ensure scalability, transparency, and alignment with your strategic objectives.

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  • D ONE worked with a Swiss hospital to develop a Hygiene Expert Chat that made specialist infection prevention knowledge available to clinicians around the clock. Using Retrieval Augmented Generation on hospital specific guidelines, physicians could ask questions in natural language and receive answers with direct references to the underlying documents. The solution combined Azure Document AI, ADLS, Azure AI Search, Azure OpenAI and an App Service based web frontend with integrated PDF viewer. This reduced repetitive requests to hygiene experts, increased adherence to isolation and quarantine procedures, and created a reusable pattern for expert guidance chatbots in clinical settings.

Close-up of clear plastic microbeads scattered across a surface.

  • D ONE worked with a specialised polymer manufacturer to replace delayed, batch based quality checks with an ML soft sensor that monitors product quality in real time. The model uses live production and historic quality data to trigger targeted alarms in the existing control panels, providing operators with concrete, alarm specific instructions. This setup reduced the share of lower quality output, opened the potential for 20 percent higher quality products and around 30 percent less waste or recycling, with projected financial benefits of 30 to 50 million CHF per year. The solution also created a template for further soft sensor applications in quality assurance and predictive maintenance across other production lines.

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  • D ONE worked with an international reinsurer to reduce legal and reputational risks from an LLM based chatbot. Using a semi automated red teaming approach, LLMs were used both to generate challenging test cases and to scale testing to hundreds of scenarios, uncovering biased, harmful or policy violating responses. The team then implemented tailored guardrails and response filters and delivered a reusable Python based red teaming framework so the client could continue to test and harden future releases. This significantly reduced the chatbot’s risk profile and increased confidence in its use with internal and external users.

Digital illustration of interconnected glowing lines and points representing a network or galaxy against a dark background.

  • D ONE worked with a leading online marketplace for home services to design an AI based assistant that helped tradespeople respond faster and more consistently to customer requests. Using vector embeddings and similarity search on each professional’s historic offers, the solution identified comparable past jobs, generated draft offer texts with GenAI and proposed price ranges based on prior accepted quotes. A phased roadmap from proof of concept to full integration covered data preparation, model refinement for key categories and platform integration, reducing manual effort for handymen and shortening customer waiting times for offers.

SCALE

Managed Services

Keep your AI factory running 24/7.


We act as an extension of your team to manage and optimize your data and AI environments for reliability, security, and continuous improvement. We monitor performance, maintain compliance, and deliver ongoing enhancements to keep your technology landscape efficient and future-ready.

A television control room with multiple monitors displaying test patterns, broadcast feeds, and data charts, along with control panels, keyboards, and chairs.

  • D ONE ran the data operations for an international sports federation during major international tournaments, ensuring reliable real time delivery of match data to broadcasters, applications and analytics teams. Operations followed an on/off tournament model with ramp up, on tournament and ramp down phases, combining automated monitoring, alerting and failover with a dedicated support team that scaled for up to 50 days of peak demand. Home based and on site engineers handled incident response, performance tuning and change management, while working jointly with the federation’s BI and IT teams in agile sprints to roll out enhancements between match days. This setup kept data services available under strict SLAs, reduced operational risk during flagship events and established a proven runbook for future competitions.

A digital illustration of a human hand made of small purple and blue cubes, with a network of interconnected lines and dots extending from the fingertips, representing artificial intelligence or digital technology.

  • D ONE provided managed professional services in data and analytics for Switzerland’s largest retailer with over 100 000 employees across more than 80 entities in retail, production, pharmacy, logistics and corporate functions. Through a central Service and Competence Center, more than 20 experts in architecture, data engineering, analytics, reporting and product management staffed key initiatives, trained teams and built self service capabilities. Over three years, this strategic partnership established D ONE as the primary provider of reporting and analytics services, combining world class expertise with the ability to attract, retain and supply top talent when needed.

TRUST

Data & AI Governance

Ensure data and AI are managed responsibly.

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  • A leading Swiss bank partnered with D ONE to define a holistic data strategy and governance model as the foundation for data-driven banking. Through a series of governance-focused workshops, D ONE established roles, data domains, and control processes covering provisioning, cataloging, data quality, access, and ethics. The resulting framework delivered a single source of truth, improved operational efficiency, and better risk management, enabling insight-driven sales, lower cost through automation, and reduced data-related risk across the bank.

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  • A large retailer struggled with a fragmented reporting landscape built on spreadsheets, PDFs, and slide decks, with no control over access, definitions, or data quality. D ONE designed and implemented a self-service BI model with clear processes, roles, and responsibilities, using data protection, privacy, and compliance as enablers rather than blockers. A governance framework, roadmap, and success criteria were defined, complemented by automated service monitoring to ensure user experience and compliant usage. This transformed reporting into a governed, organization-wide capability, enabling better, faster decisions and multiplying efficiency gains across business functions.


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  • To meet the revised requirements of FINMA circular 2023/1 on operational risk and resilience, a Swiss cantonal bank engaged D ONE to operationalize data governance around “critical data.” Based on D ONE’s governance framework, the project introduced a dedicated data governance organization, identified critical data elements, updated internal regulations, and aligned risk and control frameworks. The engagement embedded data quality and data management principles into daily operations, resulting in lean but effective controls and an efficient, risk-oriented implementation of all data-related aspects of the circular.

TRUST

Adoption and Capability Building

Enable your people to lead with data and AI. 

We work alongside your teams to design targeted programs that foster adoption, develop skills, and embed new ways of working. We build internal capabilities that ensure lasting value and self-sufficiency beyond the initial implementation.

A digital abstract image showing interconnected glowing points and lines in a dark space, resembling a network or constellation.

  • D ONE worked with a leading gaming and betting operator to turn its new Azure Databricks platform into a self service environment for business teams. In a hands-on “Brick by brick” classroom training, 25 users from online betting and retail CRM learned how to navigate the Databricks workspace, build and orchestrate data pipelines, query data with SQL and develop basic ML models. A follow up coaching format with weekly clinics let participants bring real questions from their daily work, reinforcing good practices and helping them deliver their first own pipelines and analyses on the platform.

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  • D ONE worked with a global pharma company to design and deliver an “AI for Leaders” program that built the foundation for responsible, large-scale AI adoption. In an interactive half day format, senior leaders explored core ML and GenAI concepts, industry specific value creation patterns, and concrete use cases across R&D, operations, and commercial functions. The sessions combined live demonstrations, voting and Q&A with structured content on risk, governance and AI lifecycle management, giving leaders a shared language, clear decision criteria for use case selection, and practical next steps for integrating AI into strategy and portfolios.

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  • D ONE worked with this insurer to design an AI upskilling program for leaders and teams that turned isolated experiments into broad adoption. The concept combined short, focused breakout sessions for leadership with standardised three hour practice labs for business and technical teams, tailored to their use cases and tools. Learning modules built on existing internal trainings, linked AI concepts to company specific guidelines on strategy, ethics and data protection, and used advanced prompting on real documents. A Community of Practice, ambassador program and custom team coaching reinforced learning in daily work and created a scalable model for continuous AI capability building across the organisation.