The problem it solves
Reports answer what happened, but not always what needs attention next. A governed analytics layer combines trusted data, forecasting and explainable exceptions.
Predictive, executive and operational intelligence
Business & Analytics AI
Predictive dashboards and natural-language analytics that help executives and operators move from historical reporting to earlier decisions.
Direct answer
Business & Analytics AI
Predictive dashboards and natural-language analytics that help executives and operators move from historical reporting to earlier decisions.
5modules
5integration groups
5industries
Who it is for
Executives, finance, operations, supply-chain and performance teams.
Modules and products
Module status is an initial portfolio planning label, not a promise of general availability.
Baseera
PILOTAnalytics workspace for trusted dashboards and business insight.
Open familyRu'ya AI
DEMOPredictive intelligence for trends, risks and opportunities.
Open familyTadbeer AI
IN DEVELOPMENTBusiness optimisation using workflow and performance signals.
Open familyMizan AI
PILOTFinancial intelligence for budgets, expenses and anomalies.
Open familyHakeba AI
CONCEPTData-insight layer for cross-functional reporting.
Open familyHow it works
Data sources and channels↓Integration and policy gateway↓AI, rules and analytics↓Human review and action
ERP / CRM / lake → quality and semantic layer → metrics and models → dashboard / natural-language query → governed action.
Deployment options
SaaS, private cloud, on-premises data warehouse or hybrid governed analytics.
- Role-based access and audit trail
- Acceptance testing and human review
- On-premises or private-cloud option
Integrations
SAP, Oracle and Microsoft DynamicsPower BI, Tableau and LookerSnowflake, BigQuery and RedshiftCRM and ERP platformsExcel, CSV and data lakes
Industries
- Banking and finance
- Government and regulators
- Retail and e-commerce
- Manufacturing and supply chain
- Healthcare operations
Implementation method
- Confirm the use case, data owners and acceptance criteria
- Design the integration, policy and operating model
- Run a measured pilot with UAT and SIT
- Train, hand over and support under the agreed SLA
Frequently asked questions
Can users ask questions in Arabic?
Arabic and English query experiences can be designed, subject to the semantic model, terminology and data-governance review.
How do you avoid unreliable dashboard numbers?
Define ownership, lineage, validation rules and a governed metric catalogue before enabling natural-language answers.
Want to evaluate this product family?
Start with a defined scope, real data and measurable acceptance criteria.