Common finance reporting problems
- Monthly reporting depends on Excel exports and manual consolidation
- Finance and operational teams use different numbers
- Budget vs actual reporting takes too long to prepare
- Revenue and margin require multiple reconciliations
- Entity or department reporting is inconsistent
- Cash and working-capital views are fragmented
- Management packs are static and difficult to investigate
- Only a small number of people understand the reporting logic
What Datazeb can deliver
Management Finance Dashboards
Revenue, cost, margin, budget, cash, and key finance KPIs in one management view.
Budget vs Actual Reporting
Automated variance reporting by period, department, entity, cost centre, project, or other business dimension.
Revenue & Margin Analytics
Analyse revenue, gross margin, product/service mix, customer, location, channel, or business unit performance.
Cash & Working Capital
Reporting across receivables, payables, cash position, ageing, and other working-capital indicators where data supports it.
Multi-Entity Finance Analytics
Consolidated management reporting across companies, branches, business units, or regions.
Project / Client Profitability
Connect finance, time, project, and operational data to understand commercial performance.
Finance Data Integration
Connect ERP, accounting, planning, CRM, operational, database, API, and file-based sources.
Automated Finance Reporting
Reduce recurring exports, workbook updates, reconciliations, refreshes, and management-pack preparation.
Finance reporting architecture
Typical flow
- ERP / Accounting + CRM / Sales + Operations + Budget / Plan
- Integration & Reconciliation
- Finance Model
- Power BI
- Management Action
The quality of finance analytics depends on mapping, definitions, period logic, entity structures, account hierarchies, and reconciliation before visualisation.
Revenue and margin analytics
- Revenue by period
- Revenue by customer, product, service, location, or entity
- Gross margin
- Margin percentage
- Price / volume / mix views where appropriate
- Discounts, refunds, or adjustments
- High-revenue / low-margin segments
- Trend and variance analysis
Finance should validate the commercial definitions before these metrics are used for performance management.
Budget, forecast and variance reporting
- Budget vs actual
- Forecast vs actual
- Variance by account / department / entity
- Period and year-to-date views
- Material variance identification
- Drill-down into supporting detail
Datazeb can support reporting around the planning process, but the client remains the owner of budgeting and forecasting assumptions.
Cash, receivables and payables
- Cash position where source data is available
- Receivables ageing
- Payables ageing
- Overdue balances
- Customer / supplier exposure
- Collections trends
- Working-capital indicators
Multi-entity and management consolidation
For groups with multiple companies or business units, Datazeb can create management analytics across entities while preserving local detail.
- Entity comparison
- Group-level reporting
- Department / cost-centre reporting
- Common finance mappings
- Currency handling where rules are defined
- Role-based access
Formal statutory consolidation and accounting eliminations should remain under the client’s finance governance.
Project, client and service profitability
- Revenue by client / project
- Direct cost
- Gross margin
- Time or effort cost where available
- Service-line profitability
- Budget vs actual
- Write-offs or adjustments where available
This is especially relevant for professional services, agencies, consulting, engineering, and project-based businesses.
Finance automation
- Scheduled source ingestion
- Automated data transformation
- Recurring management-pack refresh
- Variance alerts
- Failed-load notifications
- Automated report distribution
- Workflow reminders for recurring finance tasks
Data quality and reconciliation
- Missing account mappings
- Unmapped entities or cost centres
- Duplicate transactions
- Unexpected period differences
- Source totals that do not reconcile
- Late source feeds
- Changed chart-of-account structures
A finance dashboard should never hide a reconciliation issue behind a polished visual.
Finance KPI governance
- Metric definition
- Authoritative source
- Account mapping
- Entity / department ownership
- Refresh timing
- Adjustment rules
- Historical restatement policy where relevant
This turns finance reporting into an explainable system rather than a collection of disconnected reports.
AI opportunities for finance
- Draft management commentary from approved finance KPIs
- Summarise material variances for review
- Internal finance policy / procedure assistants
- Natural-language questions over curated finance data
- Document classification or routing
AI-generated commentary should be reviewable and grounded in approved finance data.
Why Datazeb for finance analytics
- Power BI and data engineering in one delivery model
- Strong SQL, API, database, Python, and integration capability
- Finance reporting designed around reconciliation and agreed definitions
- Ability to combine finance with sales, operations, project, and inventory data
- Automation and managed support after launch
- Senior-led delivery
- Global remote collaboration
Engagement options
- Finance reporting assessment
- CFO / management dashboard project
- Budget vs actual implementation
- Revenue and margin analytics
- Multi-entity finance reporting
- Finance data integration
- Automated reporting
- Managed analytics support
How we work
- Understand
Clarify reporting cycles, finance stakeholders, management questions, systems, and current manual effort. - Map
Document ERP / accounting sources, account structures, entities, cost centres, and supporting operational sources. - Reconcile
Agree finance definitions, mappings, period logic, and control totals. - Build
Develop integrations, trusted finance models, Power BI reporting, validation, security, and automation. - Validate & Support
Reconcile outputs with finance, document the logic, support rollout, and improve the environment over time.
FAQ
Can you replace our Excel-based finance pack?
Yes. Datazeb can review the existing workbook process, data sources, calculations, and manual steps, then build a more automated reporting model.
Can you connect our ERP or accounting system to Power BI?
Often, yes. The method depends on the system’s APIs, databases, connectors, or export capabilities.
Can you build budget vs actual reporting?
Yes, where reliable budget and actual data is available and finance has agreed the mapping and reporting logic.
Can you support multiple companies or entities?
Yes. Datazeb can build management reporting across entities while retaining entity-level detail and controlled access.
Can you report margin by customer or product?
Yes, where revenue and cost data can be reliably mapped to the required business dimensions.
Do you provide ongoing support?
Yes. Managed analytics support can cover source changes, new reports, reconciliation issues, performance, and continuous improvement.