Service · Martech, Data & Intelligence
Data Strategy / Optimization
Turning data into a strategic business asset through effective data strategies, governance and optimisation. From data assessments and use case identification to data models, quality, integration and management, we support the design and execution of data-driven transformation initiatives across marketing, commerce and business operations.
How we engage
How we work with you on this service: pick one to see what it means.
Analysis, diagnosis and direction: we read the starting point and set out what to do, in what order and with which priorities.
Who works on it
The arad people who handle this service.
Cases related to this service
Real projects where we delivered this exact service.
Fashion & LuxuryForecasting & Omnichannel Channel Insights
Italian fast-fashion group with three brands, about 700 owned and franchised stores in some 45 markets, e-commerce and marketplaces.
Hospitality & TravelCustomer Data & Tech Due Diligence for an Acquisition
Italian open-air hospitality group with holiday villages, campsites and urban hostels.
Interested in this service?
The area and the service are already selected: add anything else you need and we'll draft the request for you.
Want to name specific services? (optional, 1 selected)
1 area selected
FAQ
More questions about this service?
FAQ
More questions about this service?
Does arad help choose a customer data platform (CDP)?
Yes, starting from the use cases rather than the tool. Within Data Strategy / Optimization arad defines which decisions the data must support, the data model, quality and integration, and only then whether a CDP is needed or the CRM and data warehouse already cover the case. Platform selection follows in Martech / Adtech, with a vendor-agnostic approach.
What is the Data Strategy / Optimization service?
Data Strategy / Optimization covers the data foundation of the digital business: data model and ownership, quality and completeness, collection and consent, integration across systems, and the prioritised plan to make data reliable enough to drive decisions and AI.
Where does arad start on a data project?
With an assessment and a use case, in that order. arad looks at what data exists, in what state and under whose ownership, then identifies the uses that would actually change a decision. Starting from the use case keeps the work finite: data quality is improved where something depends on it, not everywhere at once.
Why does data quality matter for AI projects?
Because AI inherits the quality of what it consumes. Incomplete product attributes, inconsistent customer records or undocumented business rules turn directly into wrong answers and failed automations. That is why Data Strategy / Optimization, from data assessment to data models, quality and integration, appears as a supporting service in almost every AI engagement arad runs, and why proofs of concept quickly show where data access limits scale.
What is data governance and do we need it?
Data governance is the set of answers to who owns a piece of data, who may change it, what counts as correct and where the authoritative copy lives. It is needed as soon as more than one system holds the same information, which in commerce happens immediately. Without it, every report becomes a negotiation.