Industry • Institutional Asset Management

Data quality you can defend—across holdings, risk, and performance reporting.

Institutional asset management depends on timely, accurate, and explainable data flows—from security masters and pricing to positions, analytics, and downstream client and regulatory reporting. Perfect Data helps you detect issues early, assign ownership, and continuously improve.

Schedule Call Common Use Cases
Detect issues before NAV / client packages
Reduce breaks and manual reconciliations
Create audit-ready evidence
What you get
Operational monitoring and accountability
Enterprise-ready
  • Rules-based checks across pricing, positions, identifiers, and vendor feeds
  • Schedules aligned to your batch windows and market timing
  • Alerts + routing to teams who can fix root causes
  • Trends to show improvements over time and reduce repeat incidents
See how the software works Learn the management framework

Why it matters in institutional asset management

Data defects become operational risk: broken reconciliations, delayed books, incorrect performance, inaccurate exposures, and client-facing errors. Perfect Data helps you shift from reactive “break/fix” to proactive monitoring with clear ownership.

Performance & attribution
Catch stale prices, missing benchmarks, misclassified sectors, and outlier returns.
Risk & exposures
Validate analytics inputs: identifiers, curves, ratings, factors, and reference data.
Client & regulatory reporting
Reduce restatements and explain anomalies with audit-ready scan history.
Vendor feed management
Detect breaks at ingestion: schema changes, missing files, duplicates, and drift.

Typical data sources

Perfect Data is designed to monitor across heterogeneous systems.

  • Security master / instrument reference
  • Pricing / evaluated prices / corporate actions
  • Positions / transactions / IBOR/ABOR feeds
  • Risk engines and factor models
  • Performance / attribution datasets
  • Client reporting marts / data warehouses

Common use cases

Example checks you can operationalize as rules and schedules.

Talk through your workflow

Pricing & valuations

  • Stale or missing prices by instrument type
  • Outlier price/return moves vs thresholds
  • Dual-priced vendor discrepancies
  • Corporate action impact validation

Positions & holdings

  • Missing positions for active accounts
  • Unexpected sign/quantity anomalies
  • Identifier mismatches across systems
  • Cash/settlement breaks by cutoff

Data pipelines

  • File arrival and row-count drift monitoring
  • Schema changes / column null spikes
  • Duplicate ingestion / key uniqueness
  • Latency checks vs SLA windows

Risk inputs

  • Ratings/sector classifications completeness
  • Curve availability and update cadence
  • Factor exposures outliers by model
  • Instrument coverage vs universe

Performance data

  • Benchmark mapping and classification checks
  • Return sanity checks by asset class
  • Missing attribution components
  • Account/strategy mapping integrity

Evidence & audit

  • Scan history to show detection and resolution
  • Trend charts to show sustained improvements
  • Ownership mapping (who fixes what)
  • Issue documentation and repeat prevention

How Perfect Data fits your operating model

The goal is not just detection—it’s repeatable execution. Build a rule library, schedule it around your operational windows, and route issues to the right owners.

  1. Define critical controls (pricing, holdings, identifiers, pipeline SLAs)
  2. Implement rules (SQL / query-based checks against your sources)
  3. Schedule scans (aligned to market close, batch cycles, and reporting timelines)
  4. Assign ownership (notify the teams who can fix root causes)

Deployment options

Choose the model that best aligns to your security posture and enterprise requirements.

Perfect Data Cloud
Fast onboarding for small/mid teams.
Cloud Enterprise
SSO, scale, enterprise governance.
Premises Enterprise
On-prem deployment with enterprise controls.
Schedule a call

Want a 30-minute walkthrough focused on your data flows?

We’ll map your critical controls (pricing, positions, risk inputs, and reporting marts) and identify the first rules to deploy.

Schedule Call
Or review the Rule Library for examples.