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AVIS Analytics

Connect your people, demand and delivery to business performance.

Understand where capacity is available, what is holding back billing, and which actions can improve productivity, margin and revenue. Bring the evidence together across HRMS, CRM, ERP and internal systems.

Proposed analytics portfolio · Starting with Tessolve

Explore the opportunities ↓

One operating picture

Four systems. Connected decisions.

Each platform contributes a different part of the story. AVIS analytics connects those parts while preserving the meaning and ownership of the underlying records.

HRMS

Employee identity, organization and lifecycle. Skills and availability inputs subject to source validation.

Products like DarwinBox, SuccessFactors and others.

CRM

Customer demand, opportunity pipeline and commercial context. Detailed resource requirements where available.

Products like Salesforce and others.

ERP

Projects, financial documents and accounting outcomes, with a traceable connection to operations.

Products like NetSuite and others.

Internal systems

Operational allocations, billing readiness, approvals and exceptions across the revenue workflow.

Systems like RMS and others.

Tessolve opportunity map

Start with the decision that needs to improve.

Explore ten proposed offerings. Each connects a business question to a practical action. Source coverage and definitions will be validated before implementation.

10 proposed offerings

01 · Workforce & Talent

Workforce capacity & deployment

Where do we have available capacity, and who is approaching the end of an assignment?

Headcount and allocated capacity by business unit, location and grade; bench ageing; upcoming release dates; pending allocation pressure; customer-linked buffer and interim availability where definitions are approved.

Decision supported: Help RMG and delivery leaders prioritize deployment and resolve overlapping requests.

What makes this measure reliable?

Separate people counts from full-time-equivalent capacity. Show approved allocations and pending commitments separately. Leave, internal assignments and bench must remain distinct categories. Preserve customer identity across interim assignments; validate buffer categories before treating them as free capacity.

02 · Demand & Skills

Demand-to-capacity intelligence

Can we staff the work we expect to win?

Demand by skill and start period, available capacity, uncovered requirements, and learning priorities connected to TalentEdge.

Decision supported: Choose where to redeploy, develop skills or investigate external hiring.

What makes this measure reliable?

Use confirmed demand and probability-based scenarios separately. Validate role quantities, skills, expected start dates and employee skill evidence; an opportunity amount alone does not establish staffing demand.

03 · Revenue Assurance

Billing readiness & exposure

Which assignments are not yet commercially ready to bill?

Allocation-to-billing date gaps, missing commercial coverage, pending rate changes and exceptions approaching billing cutoffs.

Decision supported: Give RevOps a prioritized queue with a responsible owner, reason and next step.

What makes this measure reliable?

Classify exposure before valuing it. Date gaps are exceptions to investigate, not automatically recognized losses. Billing basis, rate, currency, effective dates and contract terms determine the calculation.

04 · Billing Operations

Invoice flow & reconciliation

Where does work stall between approval and a financial document?

Approval ageing, rejected or returned requests, applicable timesheet completeness, posting exceptions and internal-systems-to-ERP reconciliation.

Decision supported: Help RevOps and finance clear blockers and confirm completion.

What makes this measure reliable?

Bring in approved internal or customer timesheets where the billing rule requires them. Track request, approval, submission, financial-document creation and reconciliation as distinct events.

05 · Business Performance

Forecast & margin intelligence

What explains the gap between expected and realized performance?

Separate views of pipeline, contracted delivery, billing forecasts and financial actuals; rate, volume, timing and cost variance.

Decision supported: Support BU and finance reviews with explainable changes and explicit scenarios.

What makes this measure reliable?

Recognized revenue, invoices and cash are different measures. Margin requires approved cost allocation, currency and accounting-period rules. Prevent the same work appearing in both pipeline and contracted totals.

06 · Data Confidence

Integration & data-quality assurance

Can we trust the view before acting on it?

Missing employee or project links, duplicate mappings, stale feeds, inconsistent lifecycle dates, unmatched financial references and partial batch outcomes.

Decision supported: Route exceptions to the right system owner and make refresh status visible.

What makes this measure reliable?

Retain authoritative identifiers, mapping cardinality, effective dates and source timestamps. Reconcile expected, received, accepted, rejected and still-processing records at each stage. Flag unknowns explicitly; a successful parent request does not prove every resource or forecast completed.

07 · Process Intelligence

Approval flow & rework

Which handoffs repeatedly delay commercially ready work?

Stage ageing, first-pass approval, correction loops, repeat submissions and resource-level outcomes within a batch.

Decision supported: Help PMO, RevOps and finance resolve the cause of delay and focus on ageing work.

What makes this measure reliable?

Measure each request version and approval attempt. Separate waiting from processing time and pending from completed cohorts. Validate timestamps and status definitions before comparing teams; measure the process, not individual employee performance.

08 · Commercial Change

Rate changes & coverage runway

Will the latest approved commercial terms reach every affected forecast and order?

Rate revision lead time, overdue effective dates, forecast refresh completion, commercial experience-band exceptions, and projected PO/SO coverage exhaustion.

Decision supported: Prioritize approved rate changes and replacement coverage before they affect billing.

What makes this measure reliable?

Keep rate, forecast, service-item and order versions linked. An approved rate change is complete only when each required downstream outcome is confirmed. Coverage runway is a scenario based on an approved forecast and reconciled balances; do not add PO and SO values together.

09 · Billing Explainability

Adjustments & deferred billing

Why does proposed billing differ from the original calculation, and what remains to be recovered?

Signed adjustment values and reasons, current versus next-period treatment, late timesheet effects, unapproved changes and outstanding deferred items.

Decision supported: Help RevOps and finance explain variance, approve corrections and follow through on deferred billing.

What makes this measure reliable?

Retain original and revised amounts, units, reason, approver and accounting references. A deferral is not automatically a loss. An RMS billing actual is not necessarily recognized revenue in the ledger.

10 · Delivery Continuity

Exit & allocation closure

Has an assignment ended consistently across staffing, billing and financial records?

Customer-site exit, HR employment status, allocation end dates, outstanding order-line closure and replacement coverage where recorded.

Decision supported: Give PMO and system owners one queue for incomplete exits, release-date mismatches and handover gaps.

What makes this measure reliable?

Treat HR exit, customer-site exit and allocation end as separate events. Confirm downstream closure before marking the process complete. Replacement or transfer rules remain subject to the approved workflow.

Recommended starting point

Prove the foundations. Then broaden the view.

01 / DEFINEAgree the questions

ANA works with business owners to define the measures, decisions and acceptance criteria.

02 / CONNECTValidate the sources

Confirm identifiers, data coverage, permissions and freshness across the four systems.

03 / PROVEPilot three views

Begin with workforce capacity, billing readiness and integration exceptions. Include approval age, partial forecast completion and outstanding adjustments in the same exception queue.

04 / EXTENDAdd demand and value

Extend into demand matching, commercial changes, billing adjustments, lifecycle closure and margin once the underlying evidence is reliable.

Discovery portfolio, not a live dashboard. These are proposed capabilities. This page contains no live Tessolve metrics, employee records or financial results. Access, field availability and commercial definitions remain subject to validation.

From an exception to a verified outcome

Each actionable item should identify the affected business record, source freshness, reason, owner, next step and evidence of resolution. Separate a completed screen action from a confirmed downstream result.

Led by ANA, orchestrated by NEO

Analytics combines domain knowledge with engineering. ANA owns metric design and interpretation; NEO owns the integrated architecture and delivery.

ANA · AnalyticsNEO · ArchitectureDARBY · DarwinboxSOFIA · SalesforceNORA · NetSuiteREMO · RMS domainTARA · Metric validation

TalentEdge connects staffing and talent development around the employee identity maintained in Darwinbox.

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