From Gut Feel to Data-Driven Decisions: Implementing Performance Analytics in Your GRC Program

According to a 2024 report by Confluent, 58% of business leaders rely on gut instinct when making important decisions because they struggle to access the data they need. Even when data is available, 61% say they still make snap decisions without reviewing it. 

This approach creates real problems in governance, risk, and compliance (GRC) management. Decisions based on intuition are subjective. They can lead to inconsistent risk assessment, missed signs of emerging or growing risks, and misallocated GRC resources.

GRC teams can avoid the downsides of instinct-based choices by using performance analytics. Knowing how to look at your data enables decision-making based on objective insights rather than emotions or guesswork.

What Is Performance Analytics in GRC and Why Is It Important?

Performance analytics in GRC is the process of analyzing governance, risk and compliance data to measure program performance, identify trends and generate insights that support data-driven decision-making. Effective GRC teams use business performance analytics to improve outcomes, not simply to produce more reports.

Analytics enables your GRC team to make informed decisions faster by providing access to real-time metrics and a comprehensive view of your organization’s GRC posture. This visibility provides the evidence your team needs to identify and address issues as soon as they emerge.

How to Implement Performance Analytics in Your GRC Program

Implementing performance analytics doesn’t require sophisticated GRC dashboards or advanced data science. What matters is measuring the right metrics, collecting reliable data from different sources and acting on what that data reveals, as well as tracking results consistently for continuous improvement. 

1. Define What to Measure

Set useful key performance indicators (KPIs) by focusing on metrics that provide meaningful insights you can act on to improve GRC outcomes. Performance indicators should align with your organization’s risk environment planning and strategic objectives. Each GRC team may have its own KPIs. 

For compliance departments, the right KPIs can show where compliance controls may be weakening. Examples include: 

• Training completion rate: The percentage of employees who’ve completed compliance training
• Number of compliance violations: The frequency of policy breaches or compliance incidents over a particular period

Risk management teams, on the other hand, can use metrics that show the organization’s risk exposure and the effectiveness of mitigation efforts. Examples include the number of risks based on severity and changes in risk levels over time. 

For internal audit teams, performance metrics should measure both audit effectiveness and the company’s ability to address identified issues. Useful KPIs include: 

• Remediation cycle time: Tracks how long it takes to implement corrective actions after the organization identifies a GRC issue
• Frequency of repeat findings: Reveals how often previously identified issues reappear in subsequent audits

2. Create Data Collection Workflows

A data collection workflow shows how you gather, standardize and transfer GRC data from its source to a centralized environment for analysis. To create one in your program, identify where GRC data lives across your organization based on the tools your teams already use. Common data sources include: 

• Audit management tools
• Security operations platforms
• Compliance systems

Each system may contain partial information about the same controls, risks or GRC issues. If this data stays fragmented across the company, it becomes harder to extract comprehensive insights. Through software integration, you can automate data collection from different systems and unify all your GRC information in one place. 

By connecting different data sources in a centralized GRC platform such as Onspring, you get a unified view that helps you make decisions based on complete data. Different teams can store, track, analyze and reference GRC information from one location without duplicating records in separate systems. 

Make sure each data source has an accountable owner responsible for ensuring information is accurate, complete, up to date and properly formatted. This keeps the data ready for integration and analysis.

3. Establish Reporting Schedules

Determine how often GRC insights will be reviewed and by whom. Different GRC stakeholders require varying levels of visibility, and your reporting cadence should reflect that. 

Board members, for example, typically don’t need daily operational details. Instead, they rely on periodic summaries, often monthly or quarterly, highlighting the overall GRC performance. AI agents or assistants in modern GRC platforms can generate summaries automatically. 

On the other hand, teams that handle day-to-day GRC activities require daily or even real-time reports tailored to their departments. This allows them to respond to GRC issues as soon as they emerge or evolve. 

The goal is to align reporting frequency with decision-making needs. Tailored reporting schedules ensure that relevant stakeholders receive the right level of insight at the right time, without being overwhelmed by unnecessary details or waiting for information that should already be available.

4. Use Feedback Loops

A feedback loop in GRC analytics helps you take data-driven actions, evaluate results and improve performance over time. The process typically follows this cycle: 

• Review metrics to identify GRC issues or opportunities for improvement
• Investigate the root causes behind those findings using data science techniques to uncover patterns and correlations
• Implement corrective actions
• Measure the impact of those actions through business performance analytics dashboards
• Use the new results to identify the next set of improvements

What Are the Common Performance Analytics Mistakes to Avoid? 

GRC programs may fail to realize the full value of performance analytics if they focus on the wrong metrics, use fragmented data or gather more insights than they can reasonably act on. Avoid these common mistakes to make GRC decisions more effective.

Tracking Vanity Metrics

KPIs you can’t act on are vanity metrics. Tallies like the number of meetings held or updates per month can make a team look busy but don’t actually show success or failure, or the next steps. You can’t tie them to specific organizational goals or use them to make better decisions in your GRC program. To avoid vanity metrics, make sure your performance indicators provide actionable insights. 

Relying on Siloed Reporting

Siloed reporting makes it difficult to see the relationship between risks and controls because data is fragmented across multiple tools. As a result, GRC leaders make decisions based on incomplete information. A centralized GRC platform can prevent reporting siloes. 

Monitoring Too Many KPIs or Metrics

Instead of providing clarity, an overwhelming number of metrics makes it challenging to identify which insights matter most and determine what actions to take. Tailored reporting schedules can prevent such “analysis paralysis.”

How Organizations Use GRC Analytics

Performance analytics in GRC have multiple practical applications that improve decision-making and program effectiveness. But here are the most common use cases: 

• Identifying emerging risks before they escalate: With GRC analytics, organizations can track risk indicators and control failures in real time. GRC teams are able to detect and address issues before they become major incidents.
• Comparing program performance against peers: Companies use analytics to evaluate how their GRC performance compares with industry standards or specific competitors. They can identify gaps and set more realistic improvement targets. 
• Communicating risks in terms the board actually cares about: GRC teams can translate technical GRC data into business impact. That could mean framing risks in terms of financial, operational and reputation consequences so leaders can prioritize decisions effectively. 

Make Smarter, Data-Driven Decisions in Your GRC Program With Onspring

GRC decisions should be based on reliable data, not gut instinct. You can start taking data-driven actions in your GRC program by implementing performance analytics. Modern GRC software like Onspring simplifies implementation by: 

• Enabling organizations to set custom KPIs and key risk indicators in GRC programs
• Providing a central place for GRC departments to share and track company policies, internal controls, compliance requirements and evidence documents, which improves your organization’s team strategy
• Allowing GRC teams to create role-based dashboards that tailor reporting frequency and scope to specific stakeholders
• Integrating with many tools that GRC teams already use to simplify data collection from different systems

Ready to move beyond gut instinct?  Book a demo to see how Onspring’s dashboards and integrations enable data-driven GRC decisions.