Offer

Big Data, Business Intelligence and Analytics in Morocco

Big data and BI consultancy in Morocco: Power BI and Metabase dashboards, data warehouse, ETL pipelines, predictive AI and data governance. Casablanca, Rabat.

What we deliver

Our cross-functional squads combine product owners, tech leads, designers, and data engineers to deliver end-to-end outcomes.

  • Business intelligence and dashboards: sales, finance, supply chain and industrial steering (Power BI, Metabase, Looker Studio)
  • Data warehouse and lakehouse: consolidate ERP, CRM, e-commerce and file sources into a reliable store (BigQuery, Snowflake)
  • ETL pipelines and data engineering: ingest, transform and validate your data (Airflow, dbt, Kafka)
  • Predictive AI and scoring: sales forecasting, customer scoring, anomaly detection and inventory optimization
  • Data governance and quality: quality rules, deduplication, historization and CNDP compliance (loi 09-08)
  • Sector-specific analytics: retail (basket analysis, retention), finance (risk, treasury), logistics (route optimization), manufacturing (predictive maintenance)
  • Streaming and IoT: real-time processing of sensor, machine, log and transaction data flows
  • ERP and CRM connectors: automatic dashboard feeds from Odoo, SAP, Salesforce without manual exports
  • Training and knowledge transfer: empower your business teams on BI tools and steering routines
  • Data audit and scoping: data maturity diagnostic, priority use case identification and costed roadmap

Delivery process

  1. 01

    Scoping workshop: identify 1 to 3 high-ROI data use cases with your business and executive teams

  2. 02

    Data source audit: map ERP, CRM, files, APIs and assess existing data quality

  3. 03

    Target architecture: choose technologies (BigQuery, Snowflake, Power BI, Metabase), cloud vs on-premise, CNDP compliance

  4. 04

    Pipeline build: ingest, transform, validate and orchestrate data flows (ETL/ELT)

  5. 05

    Modeling and warehouse: create the data warehouse or lakehouse, quality rules, historization and governance

  6. 06

    Dashboard and KPI build: indicators validated with business teams, automated alerts (email, WhatsApp)

  7. 07

    Go-live, end-user training and knowledge transfer to internal teams

  8. 08

    Ongoing support: pipeline monitoring, dashboard evolution, new source onboarding and FinOps optimization

Frequently asked questions

How much does a big data or BI project cost in Morocco?

A first steering dashboard (sales or finance) ranges from 25,000 to 60,000 MAD. A multi-department BI setup with a data warehouse runs 100,000 to 300,000 MAD. A full big data project (lakehouse, pipelines, predictive AI, governance) can reach 300,000 to 600,000 MAD depending on data volume and number of sources. Cloud hosting costs add a few hundred to a few thousand MAD per month. We recommend starting with one high-value use case to prove ROI before scaling. Free quote within 48 hours.

Where should a company start with data and analytics?

We recommend starting with 1 to 3 use cases with measurable ROI: a treasury dashboard, real-time sales tracking, or customer scoring to prioritize outreach. We build the pipelines, data model and dashboards for these first cases, then scale once value is proven. This iterative approach limits risk and delivers visible results in 4 to 8 weeks.

Power BI or Metabase: which BI tool should I choose?

Power BI fits if you already have the Microsoft ecosystem (Office 365, Azure), with a per-user license around 100 MAD per month. Metabase is open source and license-free, ideal for a quick start on a limited budget. Looker Studio works for simple marketing reporting. The choice depends on your existing licenses, data volume, department-level security requirements and data maturity. We recommend during a free workshop using your actual reports.

How do I ensure CNDP compliance for my data?

Loi 09-08 (CNDP) requires proportionate protection measures for any company processing personal data in Morocco. In a data project, this means: anonymization or pseudonymization in the data warehouse, role-based access controls, query logging, retention and deletion policies, and compliant hosting (European cloud OVH/Scaleway or on-premise). We build these requirements into the architecture phase, not as an afterthought.

What ROI should I expect from a BI project?

BI ROI is measured across three axes: time savings (automating manual reports, typically recovering 20 to 40 hours per month), better decisions (real-time visibility on sales, inventory or treasury) and loss reduction (detecting anomalies, stockouts or inactive customers). Our clients typically see positive ROI within 3 to 6 months.

What is the difference between a data warehouse and a data lake?

A data warehouse stores structured, cleansed and modeled data optimized for BI reporting and dashboards. A data lake stores raw data of all types for exploratory analysis and machine learning. A lakehouse combines both: raw storage with a modeling layer on top. For an SMB, a simple data warehouse is usually enough. For large volumes or AI use cases, a lakehouse is better suited.

Can you connect dashboards to Odoo, SAP or Salesforce?

Yes. We connect dashboards directly to Odoo, SAP, Salesforce, PrestaShop or any database via API, SQL view or data warehouse. Indicators refresh automatically without manual file handling. Our edge: we also integrate these ERPs and CRMs, so we know their data models and limitations.

Do you work with business teams as well as IT teams?

Yes, and it is essential. Data projects succeed when finance, supply chain, retail or executive teams are involved in defining KPIs, validating calculation rules and establishing steering routines. We facilitate business workshops, train end users and set up weekly dashboard review rituals to drive adoption.