Industrial & Capital Projects

Project & Program Risk Management Analytics

Turn distributed project risks into standardized historical and portfolio-level risk intelligence.

Para implemented project and program risk information, historical data collection and analytics. Risk registers across projects were standardized, collected into a historical repository and analyzed using criticality, trends, functional-area views and project lifecycle context.

Industrial & Capital Projects Governance & Enterprise Decision Management Data, Analytics & Performance Portfolio, Project & Investment Management Microsoft 365 & SharePoint Data & BI Platforms

Business challenge

  • Project risk information was distributed across project environments.
  • Management needed historical movement, not only current risk state.
  • Risk views needed consistent probability, severity, criticality and taxonomy across projects.

Para approach

  1. Standardize the enterprise risk information model.
  2. Capture project phase and functional taxonomy.
  3. Collect project risk data automatically on a recurring basis.
  4. Store historical snapshots in a central repository.
  5. Analyze criticality, trends and portfolio-level risk.

How it works

Validated risk information, historical-snapshot and analytics pattern. Evidence: risk architecture and system design, field mapping, project configuration, deployment and runtime evidence.

1

Project Risk Registers

2

Scheduled Collection

3

Historical SQL Repository

4

Criticality / Trends

5

Portfolio Analytics

Delivered capability

Standard risk model

Probability, severity, criticality, ownership and lifecycle context.

Historical snapshots

Retains risk changes over time.

Automated collection

Recurring consolidation from multiple project risk sources.

Project configuration

Project identity, dates and phase context.

Enterprise taxonomy

Controlled project-phase and functional-area classification.

Portfolio analytics

Criticality, trend and detailed-history reporting.

Evidence-supported outcomes

Historical visibility

Management can analyze how project risk changes over time.

Portfolio view

Standardized data supports cross-project risk analysis.

Less manual consolidation

Scheduled collection reduces dependence on manual aggregation.

Reusable risk pattern

Provides a repeatable project-risk analytics approach. It is not a complete ERM or GRC suite.

Technology & delivery context

Historical SharePoint project risk lists, a SQL Server historical repository, scheduled synchronization and reporting components.

Have a similar enterprise challenge?

Para can assess the current state, define the business and information model, shape the architecture and delivery approach, and move from business need into implementation and ongoing operations.

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