Reporting and data marts
Design reporting-ready models that match operational questions and agreed business definitions.
Service 03
BI & Decision Intelligence
Give decision-makers reporting and analysis they can understand, reconcile, and use without rebuilding the answer every month.
Good fit when
Different teams report different versions of the same number.
Analysts spend too much time preparing data manually.
Dashboards exist, but definitions, ownership, and action are unclear.
Delivery scope
What the engagement can cover.
Dashboards and management reporting
Build focused reporting experiences for executives, departments, and operational teams.
Semantic and metric design
Define reusable measures, dimensions, hierarchies, and security rules close to the governed data.
Data preparation and quality
Resolve source inconsistency and automate repeatable preparation rather than hiding it in reports.
Adoption and performance
Tune workloads, validate outputs, train users, and establish an improvement path based on actual usage.
Designed around outcomes
What should be different when the work is done.
- More consistent reporting across business units
- Less manual preparation and reconciliation
- Clearer definitions behind key measures
- Faster access to operational and management insight
Related delivery
Standardising migration rules across a 20-country SAP programme
Profiled, cleansed, matched, and validated complex ERP data across a 20-country SAP migration programme using reusable data-quality rules.
Read the case study20countries
SAPERP migration
Reusablequality rules
Service FAQs
Questions teams ask before starting.
Direct answers based on how these engagements are scoped and delivered.
Does a BI engagement cover more than dashboard design?
Yes. Reliable business intelligence often requires reporting marts, data preparation, metric definitions, security, validation, performance tuning, documentation, and user enablement as well as the visible dashboard.
Can Monic help when departments report different versions of the same number?
Yes. The work starts by tracing each measure to its source, transformation, business definition, reporting period, and owner. Shared semantic models and governed definitions then reduce repeated reconciliation.
Which reporting platforms does Monic work with?
The team has delivery experience across IBM Cognos Analytics, Microsoft Power BI, SSRS, SSAS, and the data-integration and database layers that feed them. Platform choice follows the client environment and operating need.
How is BI adoption handled?
Delivery can include workshops, prototypes, SIT and UAT support, training, documentation, usage review, and an agreed improvement backlog so the reporting capability is understood and used after launch.
Start with the work
Bring us the operational problem.
We will help determine whether the right next step is data engineering, migration, automation, or a focused AI pilot.