Services
Data & AI Strategy
Putting a plan together
Becoming data-driven is not a matter of a single decision, but rather a comprehensive transformation in how an organization views data as a resource. Switching to data-driven does not happen overnight. A solid data strategy is needed to understand the priorities and what are the steps to take.
Data and AI Strategy
Building the Data Strategy
DAIN Studios have experience in creating data strategies to dozens of companies in different industries. We start from understanding the current state using our Data Maturity Model and build a concrete plan of action from there.
Current State Analysis
Understanding where you are in your data and AI journey is a crucial step on your way toward becoming data-driven. We will systematically assess your organization’s readiness for leveraging data, analyze your data and AI enablers (technical, people, processes), and design the required actions to get you ahead in your data vision. The current state analysis acts as a steppingstone for the data strategy definition.
Data Due Diligence / Inventory
A good starting point for any AI project is to take stock of your data. What data exists and what is missing? What is its quality? Our hands-on Data Due Diligence project categorizes and documents your most important data assets and provides a basis for the data and AI strategy and implementation roadmap.
Data & AI Strategy Definition
Having a well-defined, executable data strategy will lift your organization to the next level of data maturity. With our extensive experience and proven approach, we will analyse your business opportunities and create new ways to monetize your data. Together, we will define a data vision and strategy, and derive prioritized use cases that will drive your execution roadmap.
Data Opportunity Discovery
Many organizations wonder about the possibilities that data can bring to their business. With our proven Data Thinking methodology, we will help your team explore existing ideas and generate new ones on what data opportunities lie ahead of your company. This includes prioritizing the discovered opportunities and drafting a tangible execution roadmap to get your team moving towards a more data-driven future.
Data Monetization & Ecosystem Development
In addition to using data to improve your own business, data can be monetized through partnerships and ecosystems. We help you assess your options to create new business and services with data. We will assess your most valuable data assets, the needs of your customers, partners, and other stakeholders, and – most importantly – new business models.
Data Privacy & AI Ethics
We help you define the legal bases for your AI use cases and related data collection and processes and set up privacy-friendly internal processes. We help you translate your company’s ethical principles into AI ethical principles and implementation practices. Having clearly defined AI ethics principles will increase trust and transparency in your company’s data utilization.
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.
What clients say about us
“DAIN Studios helped VR in developing its data strategy for Passenger Traffic, and conducted a data due diligence project for reporting purposes. The drive and the experience of the DAIN consultants was impressive. I can highly recommend them for similar projects.”
Salla Ketola
Director of Strategy and Business Development, VR Passenger Traffic
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