Services

Data-Driven Operating Model

From Pilots to a System

Becoming data-driven requires more than tools and isolated use cases. A clear operating model defines how priorities are set, how work is delivered, who owns what, and how value is measured — so execution stays consistent over time.

Insights

Data-Driven Operating Model

Data-Driven Operating Model

We translate your data, AI and agentic AI direction into an operating model that keeps execution on track. This includes decision-making, roles and responsibilities, portfolio and prioritisation, governance, and adoption practices — including how AI agents are introduced safely into real workflows.

Data-driven operating model

Operating Model

Obtaining the full value of data and AI requires continuous, seamless collaboration between the business, analytics, data, and technology teams. Use cases need to be prioritized, budgeted, and staffed. Especially large companies benefit from sharply defined roles and responsibilities, portfolio management, and processes.
Data Literacy

Business Process Integration

Your algorithms may be world class, but the data and AI maturity of your business processes determines whether you reach the full value of AI. We look at your business processes end to end and help you effectively integrate data and AI into your production, supply chain, sales and marketing, customer service, and other key business processes.
Analytics Playbook

Analytics Playbook

An Analytics Playbook documents and describes the best practices of the data and AI operating model including implementation steps and templates to be used across the organization. Using our accumulated best practices from many companies, we help you put your Analytics Playbook together.
Datenbank

Data Organization & Talent Management

One of the critical questions for the success of data and AI implementation is the internal organization of the capabilities. Various degrees of centralization exist depending on your company’s maturity, ambition, industry, size, and culture. We help you define the most suitable organizational setup for data and analytics. We also help you attract high-quality talent, upskill your workforce, and create attractive career paths for your data and AI experts.
AI Training

AI Training

Are you looking to increase your organization’s data literacy? Would you like to train your workforce in modern data and AI methods? We design organization-wide upskilling programs in data & AI. We offer targeted training and coaching for leadership teams, middle management, and the general workforce in various forms using modern teaching techniques.
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Data Governance

Data Governance

Data governance refers to the more technical side of the operating model. In an effective data organization, data ownership and accountability have been defined, data quality processes and SLAs are in place, and data lifecycles are well managed. Access rights, logging, and data security are defined and followed. We help you set up effective governance for your most precious assets.
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Get inspired by use cases across different industries

Repeated success with customer assignments has made us recognized in the ecosystem and highly valued by leading organizations. And Technology Industries of Finland rated DAIN Studios as “one of the five best AI consultancies” in the country – for four consecutive years.

Explore our Case Studies
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Scaling AI Literacy Across Rheinische Post Mediengruppe
Case Study
Artificial Intelligence for Marketing Strategy DAIN Studios
Enhancing Real-Time Tracking with AI at Bettermile 
Case Study
A group of people looking at a digital display with data charts
Revolutionizing Pharmaceutical Machinery Production: A Digital Transformation Success Story 
Case Study

What clients say about us

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“Normet piloted Social Media Monitoring together with DAIN Studios successfully. Dain Studios expertise in AI and Analytics combined with pragmatic business process understanding helped us to build a better understanding of the market and our customers. The results will help us in developing our customer experience as a part of our marketing and sales renewal.”
Riku Helander
VP Marketing & Sales, normet