Connect clients, projects, people and financial performance in one clearer view

The professional-services data problem

The business runs across systems that were never designed to tell one story

• CRM and pipeline tools
• Project / practice management platforms
• Timesheet systems
• Finance and accounting software
• Resource-planning tools
• Ticketing or delivery platforms
• Spreadsheets and manual management packs

When these systems are reported separately, leadership can see individual metrics but struggles to connect sales demand, delivery capacity, project progress, revenue, and profitability.

Typical challenges

• Pipeline is disconnected from delivery capacity
• Revenue and project status are reported in different places
• Utilisation definitions vary by team
• Project profitability is available too late
• Timesheets require significant manual reconciliation
• Client-level performance is difficult to consolidate
• Monthly reporting depends on spreadsheets
• Resource demand is hard to compare with available capacity
• Backlog and forecast measures are inconsistent
• Leadership cannot drill from summary KPIs into project detail

What Datazeb can deliver

From business systems to one management view

1. CRM / Pipeline
2. Projects / Time
3. Finance
4. Trusted Model
5. Power BI / Decisions

The key is to align clients, projects, people, service lines, dates, and financial definitions across systems before management reporting is treated as a source of truth.

Executive and board reporting

Replace fragmented management packs with one consistent performance view

• Revenue and margin
• Pipeline and conversion
• Backlog / committed work
• Project delivery status
• Utilisation and capacity
• Client concentration
• Service-line performance
• Period-on-period trends
• Exceptions requiring management attention

Outcome: less time consolidating management packs and more time discussing what the numbers mean.

Project and engagement analytics

See delivery performance before the project is already off track

• Project budget vs actual
• Effort and time consumption
• Revenue and margin
• Milestones and status
• Work in progress where relevant
• Delivery exceptions
• Project manager / team comparison
• Client and service-line performance

Project measures should follow the commercial model used by the firm – fixed fee, time and materials, retainers, managed services, or a mix.

Utilisation and capacity

Make utilisation useful by defining it properly

Utilisation can become misleading when teams use different denominators, exclude different activities, or mix availability with billability.

Datazeb can help structure reporting around agreed measures such as:

• Billable utilisation
• Productive / client-facing time
• Available capacity
• Role or team utilisation
• Leave and non-working time
• Bench / unallocated capacity
• Overtime or workload pressure

Client and account analytics

Understand the full commercial relationship, not only invoiced revenue

• Revenue by client
• Margin by client
• Open opportunities
• Current projects
• Service mix
• Historical activity
• Client concentration
• Repeat work
• Outstanding issues or delivery exceptions where relevant

A combined client view can help account leaders connect sales activity with current delivery and historical commercial performance.

Pipeline and demand visibility

Connect what sales expects with what delivery can realistically support

• Pipeline by stage
• Weighted or scenario-based pipeline
• Expected start dates
• Service line / skill demand
• Opportunity owner
• Client / sector
• Historical conversion
• Demand vs available capacity

Where pipeline quality is inconsistent, the reporting should expose uncertainty rather than create false precision.

Revenue, margin and profitability

Commercial reporting needs agreed finance definitions

• Revenue by client / project / service
• Direct cost
• Gross margin
• Project profitability
• Budget vs actual
• Rate realisation where relevant
• Write-offs / adjustments where available
• Unbilled or accrued measures where appropriate

Finance should validate calculation logic before these metrics are used for performance management.

Resource and workforce analytics

• Headcount and role mix
• Capacity by team
• Project allocations
• Future demand
• Skills / capability categories
• Joiners and leavers where appropriate
• Location / office comparison

The objective is to support planning, not create intrusive employee surveillance.

Automation opportunities

Reduce recurring administrative work around reporting and delivery

• Automated management packs
• Timesheet reminders
• Project status notifications
• Pipeline / delivery exception alerts
• Scheduled data consolidation
• CRM-to-project hand-off workflows
• Document and proposal routing

Explore Business Process Automation

AI opportunities

Use AI to reduce knowledge and workflow friction

• Internal policy / methodology assistant
• Project knowledge search
• Proposal and document summarisation
• CRM / account briefing assistance
• Conversational analytics over approved management data
• Service-desk or internal support assistants
• AI-assisted workflow triage

AI should be connected to approved information and clear business workflows rather than deployed as a generic chatbot.

Explore AI & Agentic Solutions

Multi-entity and multi-office reporting

Standardise management reporting across offices, practices, or business units

• Common KPI definitions
• Entity / office comparison
• Service-line reporting
• Consolidated executive view
• Local drill-down
• Role-based access
• Currency handling where required
• Standardised client and project mappings

Data quality and governance

• Duplicate client records
• Inconsistent project codes
• Missing service-line mappings
• Late or incomplete timesheets
• CRM opportunities without delivery classifications
• Finance / project reconciliation differences
• Unclear KPI ownership

Datazeb can build validation and governance into the reporting environment so problems are surfaced rather than hidden.

Why Datazeb for professional services

• Business-first reporting around projects, clients, people, and financial performance
• Power BI and data engineering capability in one delivery model
• Strong SQL, API, Python, database, and integration skills
• Ability to connect CRM, finance, project, and operational systems
• Flexible project and managed-support options
• Senior-led delivery
• Global remote collaboration

Engagement options

• Management reporting assessment
• Executive dashboard project
• CRM / project / finance integration
• Utilisation and capacity analytics
• Client profitability reporting
• Automated management reporting
• Analytics strategy and KPI framework
• Managed analytics support

How we work

1. Understand
   Clarify the firm’s service model, client lifecycle, project model, commercial definitions, users, and decisions.
2. Map
   Document CRM, finance, project, timesheet, and operational systems plus the keys that connect them.
3. Align
   Agree KPI definitions for revenue, margin, utilisation, backlog, pipeline, and project performance.
4. Build
   Develop integrations, data models, Power BI reporting, automation, and access controls.
5. Validate & Improve
   Reconcile outputs with finance and delivery stakeholders, document the logic, and evolve the environment over time.

FAQ