A data and marketing consultancy needed to deliver complex projects for clients in transport, retail, healthcare, and large distribution — simultaneously. Single Customer View, Big Data architectures, governance, Python automation, GDPR: different challenges, demanding clients, and a team to make perform collectively.
The Challenge
The consultancy delivered data and customer-oriented marketing projects for companies across distinct sectors. Each client had its own data maturity, its own systems, its own governance and compliance challenges. The challenge wasn't only technical — it was managerial. Delivering 12 projects of €200K each through the same team of 8 required organisation, method, and rigorous oversight.
Fragmented, unconsolidated customer data at each client — no usable single customer view
Data processing time too slow — analyses available too late to be actionable
Repetitive analytics tasks consuming 15+ hours per week with no automation
GDPR non-compliance exposing clients to significant legal and reputational risks
Non-scalable data architectures, with no defined KPI framework or governance
The Approach
Rather than reinventing the approach for each engagement, methodological rigour was centralised: governance, flow cataloguing, automation, GDPR compliance — applied systematically to every project. What varied from one client to the next was the translation of these principles into their specific sectoral and organisational reality.
Design and deployment of Single Customer View systems to consolidate fragmented data, improve customer insight quality, and enable targeted, measurable marketing strategies.
Development of Python analytics and automation scripts to eliminate repetitive manual tasks, combined with design of marketing-oriented Big Data architectures — scalable and sized to client data volumes.
Implementation of governance strategies tailored to each client, creation and maintenance of data flow catalogues, and collaboration with marketing teams to achieve full GDPR compliance across all systems.
Results
Beyond performance metrics, the challenge of this scope is delivering quality across 12 parallel projects without diluting expertise. Average client data quality improved by 30%, data management inconsistencies were reduced by 40% through deployed governance strategies, and client marketing decision efficiency improved by 20%. These are foundations — not tools — that made these results possible.
"A consultant who has never delivered in production has nothing to sell. Across twelve simultaneous projects, with clients in four different sectors, there is no room for approximations. The method must be solid before the first line of code is written."
Technologies & Methods
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