Data Analytics and Big Data Solutions

Most Saudi organisations have accumulated more data than they can use. The gap between data collected and decisions improved is where Innovations Cloud operates. We design analytics systems that turn operational data into visible, actionable insight: without requiring a full data science department in-house.

Our Analytics Services

We build end-to-end data solutions: from raw ingestion and pipeline design through to live dashboards and predictive models. Our engagements typically cover data warehouse design, ETL pipeline development, Power BI and Tableau report builds, and machine learning model deployment. We work with structured and unstructured data sources including ERP exports, IoT sensor feeds, social media, and government open data.

The Saudi Context

The National Data Management Office (NDMO) has published a National Data Governance Framework that mandates data classification and lifecycle management for government entities and their suppliers. Companies participating in Vision 2030 programmes, NEOM vendor chains, or Red Sea Project contracts increasingly need auditable data practices. We design systems that meet these requirements from day one, not as an afterthought.

For the private sector, ZATCA’s VAT and e-invoicing compliance generates large volumes of transaction data that must be retained, reconcilable, and reportable on demand. We build the pipelines that keep this data clean and the dashboards that surface it to finance teams without manual effort.

How We Work

We start every engagement with a data inventory: what you have, where it lives, how clean it is, and what decisions it should be supporting. From that baseline we design a phased delivery plan, starting with the highest-value use case, and build incrementally. Most clients see working dashboards within three to five weeks of engagement start.

Key Capabilities

• Azure Synapse, Databricks, and on-premise data warehouse design
• Power BI, Looker Studio, and custom dashboard development
• Predictive models for demand, churn, and risk
• Arabic and bilingual data labelling and NLP pipelines
• NDMO-aligned data governance documentation