90-Day Data Strategy: The Guide for Moroccan Mid-Caps

In the industrial zones of Bouskoura, the Kenitra free zone, or in the heart of Abdelmoumen Avenue in Casablanca, managing directors of Moroccan mid-caps share a similar observation. Their information systems are overflowing with valuable data on supply chain, sales, or billing, but this data remains siloed in obsolete ERP databases or shared Excel files. Faced with the urgent need for competitiveness and digital transformation, launching a three-year IT master plan is no longer a viable option. Executives demand tangible and measurable results in the short term. This is precisely the objective of a 90-day data strategy: to lay the foundations of a data-driven company in a single quarter, without paralyzing the organization or committing astronomical budgets.

In Morocco, the majority of data integration initiatives fail not because of technology, but due to a glaring disconnect with operational realities. Too often, companies rush into purchasing expensive software licenses or building complex cloud platforms before even defining a single business use case. This top-down approach generates immense frustration among business teams who see no impact on their daily work. Another major cause of failure lies in the lack of dedicated internal skills, as local IT teams are already saturated with supporting and maintaining the existing infrastructure. Without a clear and pragmatic data roadmap, projects get bogged down in endless discussions about theoretical governance, while CFOs grow impatient over the lack of return on investment.

The first month of the data transformation is entirely dedicated to listening to business units and identifying immediate sources of value. The approach consists of conducting alignment workshops with key departments such as finance, sales, or logistics to map out major pain points. For example, an automotive distributor like Super Auto Distribution will seek to understand precisely where the bottlenecks lie in tracking spare parts inventory. During this diagnostic phase, assessing technological maturity helps list available data sources. The goal is to select two or three quick-win projects. This could be automating a weekly cash flow report that previously took two management controllers two full days to compile, or creating a sales tracking dashboard by region for the sales department.

Once the quick wins are identified and validated, the second month focuses on setting up a minimal but scalable technical architecture. This is not about deploying a complex data lake, but structuring a modern data warehouse capable of centralizing strategic information. This is where defining basic governance rules comes in to guarantee data quality. Definitions of key performance indicators must be harmonized across departments to prevent marketing and finance from arguing over the customer acquisition cost calculation during board meetings. For mid-caps that do not have the financial resources to recruit a high-level profile full-time, hiring a fractional CDO proves to be an excellent alternative. This external data director brings the necessary methodology, coaches internal teams, and manages relations with integrators.

The final month of the quarter is all about execution and delivering the first high-value use cases. The data cleaned and centralized during the previous phase is now leveraged through modern and intuitive Business Intelligence tools. In the real estate sector, a major player like Chaabane Immobilier can thus visualize construction progress, property sales velocity, and customer payment tracking in real time on a single dashboard. Operational teams are trained on these new tools to ensure maximum adoption. By demonstrating the concrete utility of data on daily issues, the momentum for change takes root naturally within the organization. This first visible success validates the entire approach and legitimizes future investments to the board of directors.

Succeeding in a 90-day data transformation is a milestone victory, but the real challenge lies in sustaining this momentum over the long term. At the end of this first quarter, the mid-cap now has an updated data roadmap for the next twelve months, based on real learnings from the first phase. The organization must gradually internalize key skills by training its employees or recruiting specialized profiles in data engineering. At Data Scale Business, we support Moroccan companies in this transition by designing tailor-made strategies adapted to the economic and human realities of our market. By combining cutting-edge technical expertise with operational pragmatism, we help executives transform their data into a genuine driver of sustainable and measurable growth.