Data Integration & Operational Reporting
Make difficult operational data consistent, traceable and usable.
We integrate and reconcile data across existing databases and applications, reconstruct important reports, derive governed KPIs and engineer reporting around the decisions an organisation needs to make.
Discuss Your Data Requirement
When the reporting requirement sits between systems
Important operational reporting often relies on several databases, application exports and inherited calculations. Identifiers may not align, update cycles can differ and historical records may conflict, making it difficult to establish why two reports produce different figures.
We start with the required measure, its source and its owner. We then trace the existing data flow, reconcile definitions and engineer the integration, migration or reporting layer needed. Existing systems can remain in place where replacement is unnecessary or operationally risky.
The work can include:
- Cross-database integration across operational applications, data stores, APIs, files and vendor-managed platforms
- Data migration and reconciliation with mapping, validation, exception handling and evidence that records have transferred correctly
- Report reconstruction where inherited SQL, spreadsheets or vendor reports need to be understood and reproduced from authoritative data
- Governed KPI derivation with documented calculation logic, source lineage, ownership and controlled changes
- Operational reports and dashboards designed for defined decisions, workflows, audiences and refresh requirements
- Data quality controls that expose missing, late, duplicated or inconsistent data before it distorts reporting
The missing capability may be a data pipeline, a reconciled model, a report rebuilt from first principles or a wider systems integration. We establish that from the sources and requirement before selecting tools.
Technology selected after the data is understood
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Reporting & Visualisation
Grafana, Metabase, Apache Superset
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Databases & Analytical Storage
PostgreSQL, MySQL, SQL Server, Oracle, SAP IQ
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Data Engineering & Movement
dbt, Dagster, Kafka, ETL/ELT pipelines, APIs and purpose-built connectors
Engineering the data behind reliable operational reporting
A dashboard is only the visible output. The difficult work is establishing which data is authoritative, how it joins together and how every reported measure can be explained.
What a supportable reporting capability needs to provide
The design should reflect where the data originates, who owns each definition, how current the output must be and what happens when a source or rule changes.
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Requirement-Led Refresh
Batch, scheduled or lower-latency processing selected according to source behaviour and operational need. -
Reports for Defined Roles
Operational, management and assurance views with appropriate detail, permissions and distribution. -
Reconciled Data Models
Consistent joins and transformations across sources without pretending underlying differences do not exist. -
Explainable KPI Logic
Calculations that can be traced from the published figure back through transformation rules to source records. -
Visible Failures and Exceptions
Monitoring and notifications for late feeds, failed loads, validation differences and agreed operational thresholds. -
Ownership and Change Control
Documented responsibility for sources, definitions, access decisions and changes to reporting logic.
Trace the required output back to its sources
We first define the required output and the decision it must support, then inspect the systems and data behind it and make ownership and reconciliation rules explicit before selecting architecture or tools.
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Establish the Requirement and Ownership
We identify the reports, decisions and controls required, define who owns each measure and record the acceptable timing, access and audit constraints.
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Inspect Sources and Existing Logic
We profile databases, interfaces, exports and inherited reports; map identifiers and dependencies; and establish where definitions or historical records diverge.
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Integrate, Reconcile and Validate
We implement the required connectors, transformations, migration controls, KPI logic and reporting views, then reconcile outputs against agreed source evidence.
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Document Data Lineage and Assign Ownership
We document lineage, definitions, operating procedures and known limitations. The handover assigns responsibility for source changes, data discrepancies and future reporting amendments.
A controlled data path from Sybase to dashboards and reports
Case study: Network Performance Dashboards and Reporting over Sybase Data
Production reporting over a source platform that remained in place.
A telecom infrastructure provider needed Sybase network-performance data to support Grafana dashboards and reports for several mobile network operators. We built a PostgreSQL bridge with generated KPI functions, leaving Sybase as the source system while providing a defined query path for both uses.
The bridge runs in production and supplies operational dashboards with separate handling for 4G and 5G data. The reporting pipeline uses the same PostgreSQL foreign-table layer, then applies recipient-specific transformations outside the dashboard definitions.
Clear responsibility for definitions and evidence
We make source authority, calculation logic, exceptions and ownership visible so an organisation can understand what a report says and why.
Engineering around systems that need to remain
We can connect or extend existing platforms rather than replace them. Where the requirement includes a missing operational interface, we can also deliver bespoke operational systems and tooling.
Support as sources, systems and definitions change
Operational data does not stay still. Schemas, interfaces, ownership and reporting rules change, so support needs to cover the complete data flow rather than only the dashboard. We can investigate discrepancies and implement controlled changes as the environment evolves.
Structured incident response is available through SLA-Based Technical Support. Engineering Support Hours provide planned capacity for maintenance, report changes and agreed improvements.
Related requirements may also involve workflow and process automation, technical investigation and operational diagnostics or infrastructure constraints requiring architecture and migration work. We address those dependencies where they affect the data and reporting outcome.
Frequently Asked Questions
Have a data integration, reconciliation or reporting requirement not covered here? Tell us what you need.
Start with the report or measure that needs to be trusted, or the data flow that needs to be reliable
We can trace the sources, definitions, ownership and constraints before recommending an integration or reporting architecture.
