Case Study
A site information and variation-control dashboard
This case study examines how site reports, variation evidence, commercial review and authorised changes form a traceable project status view.
Read the case studyServices / Custom dashboards & reporting
A useful dashboard answers a decision: what changed, where does it need attention and who should act? Automate Axis designs custom dashboards and reporting workflows around those questions. We connect permitted business data, agree the definitions behind each measure and create views for the people using them. That may mean extending Power BI, working in Looker Studio or building a custom web dashboard. The choice follows your users, existing tools, access requirements and operating budget. Your team receives a usable reporting system with visible refresh dates and data-quality gaps, rather than another screen of disconnected charts.
A /
From source data to an owned decision
Example
SOURCE LAYER
CRM
Pipeline records
Opportunity stages and agreed record identifiers.
DELIVERY
Work and requests
Owned tasks, status changes and source timestamps.
FINANCE
Reviewed actuals
Approved periods and reconciliation status.
DEFINE BEFORE DISPLAY
One measure. One agreed meaning.
Metric
Open requests
Definition
Agreed open status set
Grain
One request identifier
Owner
Reporting owner
Validate + refresh
Definition retained
DECISION LAYER
VIEW
Operations review
Filters and record-level drill-through for permitted users.
ACTION
Assigned review queue
A visible signal links to its supporting record and owner.
Refresh fails → show the warning
Keep the last successful refresh visible. Missing data does not silently become zero.
Approved sources → validated definitions → role-specific view → accountable action
Illustrative operating model · The metric, data owner and refresh behaviour are agreed before the view is built.
Illustrative brand artwork · Dashboards and reporting
Where it helps
Bring approved sales, finance and operational measures into a concise management view. Include reporting periods, definitions, comparison context and a route back to supporting records.
Connect pipeline, lead sources, sales stages and agreed billing information. Keep revenue, opportunity value and activity measures distinct so the team understands what each number represents.
Combine campaign, website and CRM information where access permits. Show acquisition and conversion stages with attribution limits and the freshness of each source visible.
Track backlog, handoff stages, ageing requests and delivery exceptions. Link signals to a record or owned action queue so the dashboard supports day-to-day work.
Present reviewed finance data using approved periods and definitions. Separate reconciled actuals, forecasts and assumptions, with access suited to the sensitivity of the information.
Create a view for authorised external users where appropriate. Scope identity, tenant or account separation, embedding, download permissions and the ongoing ownership model before building.
What we deliver
01
The intended users, questions, measures, calculation rules, reporting periods and responsible data owners.
02
Agreed source connections, mapping, necessary transformations and checks for missing, duplicated or inconsistent records.
03
Responsive views, filters, drill-through and export requirements selected for the way the audience uses the information.
04
Refresh behaviour, role-based access, failure alerts, maintenance responsibilities and acceptance evidence using agreed examples.
Suitable when it fits your Microsoft environment and reporting model. We assess semantic models, refresh, gateways, distribution and licences. Where row-level security is used, the relevant roles and workspace permissions are configured and tested.
Useful for suitable Google and marketing reporting environments. We assess connector availability, source freshness, data credentials, viewer access and any paid connector or query costs.
Useful when users need a distinct interface, workflow actions or an external workspace. We scope the database, APIs, authentication, hosting and maintenance rather than assuming every system can connect directly.
The build scope identifies each source, required permissions, refresh expectation and available history. API limits, connector licences, BI capacity, hosting and query costs are considered before the approach is agreed. A dashboard cannot correct a missing source event or expose data your platform does not provide. Data cleanup, a new warehouse or significant historical backfill is priced explicitly when required.
Use the existing BI platform when it fits. A custom web dashboard may suit a specific operational workspace. Platform licences, row-level security and refresh limits are checked in discovery.
Review the audience, existing reports, source systems and example decisions. Agree the measures, access and acceptance checks.
Prepare the data model, develop the views and reconcile representative figures against their authoritative sources.
Test viewer access, refresh and failure behaviour. Document definitions, ownership and the agreed route for future changes.
A /
A dashboard that opens the supporting work
Example
OPERATIONS / DAILY REVIEW
Agreed reporting period
Team scope
Source freshness visible
OPEN WORK
What is still outstanding?
Definition + supporting records
AGEING REQUESTS
Where has work waited?
Period + stage context
NEEDS REVIEW
Who should act next?
Assigned owner + action
FROM SIGNAL TO SOURCE
SUPPORTING RECORD
OWNER
NEXT ACTION
Client start
Delivery lead
Confirm required information
Change request
Account owner
Review the requested change
Source update
Reporting owner
Investigate the refresh warning
VISIBLE LIMITS
Refresh
Last successful run shown
Missing records
Flagged for review
Measure logic
Definition available
Permitted detail
Inherited from access rules
Illustrative operating model · Example labels and records explain the design; no live figures or client performance are shown.
Across your organisation
The first use case can sit in one department. Shared records, approvals and handoffs are designed with the wider operation in mind.
The details, answered
This service. We cover data connections, KPI definitions, dashboard design, permissions, refresh and handover. If users also need to edit records or approve work, we can combine reporting with an internal tool or portal.
We assess each named source. Native connectors, APIs, webhooks or scheduled exports may be suitable. Availability, permissions, history and usage limits determine what can be connected reliably.
The refresh design depends on the decision and the source. Some data can update frequently; other sources use scheduled refreshes or cached queries. We agree a realistic freshness expectation and show it in the reporting experience.
Ownership, tenant access, source accounts and handover are defined in the engagement. Wherever practical, the production setup uses client-controlled accounts, with documentation of connections, licences and operating responsibilities.
The next step
Bring a real example, your current tools and the decision or workflow you want to improve.
Plan your custom dashboard