Turn data into a steering tool for better cyber decisions

Organisations are collecting increasing amounts of data. Yet extracting useful and meaningful insights from that data remains a challenge. Where are the vulnerabilities? Which processes require attention? Which systems provide reliable information? And how do you translate technical signals into decisions at board level?

With data analytics, you can identify patterns, anomalies, and trends more quickly. This enables you to detect risks earlier, support decisions with greater confidence and make cyber resilience tangible, measurable and open for discussion.
For IT specialists, this means greater control over data, systems, and processes. For boards and management teams, it means better insight into risks, priorities, and investments. In this way, you not only work in a data-driven manner, but also in a safer and more purposeful way.

How do we help you?

We help you apply data analytics in a focused way to improve decision-making and strengthen cyber resilience. We do this step by step.

First, we map your data landscape, information needs, and existing processes. We then determine which insights are required to make risks, bottlenecks, and opportunities visible.

We combine technical expertise with experience in audit, risk, and advisory services. This means we look not only at dashboards and datasets, but also at the quality, reliability, and practical usability of the information.

The result is an approach that aligns with your organisation, systems, and ambitions.

What do we offer?

  • Data governance, data strategy, and data architecture
    We advise on data management, ownership, structure, and scalability. In doing so, we take your application landscape and information needs into account.
  • Connecting complex data sources
    We support the connection, integration, and structuring of data from different systems. In addition, we identify bottlenecks in systems and processes.
  • Data transformation and data quality
    We cleanse data, combine data sources, and improve data usability. Where necessary, we involve specialists in internal audit and data quality.
  • Data analytics
    We analyse data based on your specific challenges and objectives. This includes diagnostic, analytical, and predictive analyses.
  • Data visualisation
    We translate data into clear and accessible dashboards and reports. We take the needs of end users and process owners into account.
  • Data-driven management and strategy
    We help define relevant KPIs so you can focus on what truly matters for performance, risks, and resilience.
  • Training and knowledge transfer
    We provide training for different audiences and levels. For example, for Power BI users, developers, and teams that want to work in a more data-driven way.

What are the benefits?

You gain deeper insight into your organisation. You identify where risks arise earlier, which processes can be improved and which decisions should be prioritised.

This helps you approach cyber resilience not only from a technical perspective, but also from a strategic one. Decisions become less dependent on assumptions and more firmly grounded in facts. This creates greater control over performance, compliance, risks, and investments.

Benefits for your organisation

  • You base decisions on reliable data.
  • You identify anomalies and risks more quickly.
  • You improve processes and performance in a focused way.
  • You make cyber resilience measurable and manageable.
  • You bring IT, risk and management closer together.
  • You use dashboards and KPIs that genuinely support decision-making.
  • You strengthen your competitive position by responding more quickly to change.
  • You build a future-ready and data-driven organisation.

Turn data into better decisions

Do you want to know how data analytics can help your organisation gain better insight into risks and strengthen cyber resilience in a practical and measurable way?

Why choose for Grant Thornton?

Grant Thornton Netherlands is a member of Grant Thornton International Ltd (GTIL), one of the world's largest networks (#7) of independent accounting and advisory firms, with 76,000 professionals in 156 markets. From eight Dutch offices, more than 700 professionals support our clients with advice and guidance in the fields of accountancy, tax, and (financial) advisory. We deliver world-class expertise in a way that seamlessly aligns with each client's unique situation. We operate from a solid foundation with a flexible and results-driven mindset.

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Frequently asked questions and answers

Cyber resilience starts with insight. Without reliable data, it is difficult to identify where risks emerge, which systems are vulnerable and which processes require additional attention. Data analytics helps bring together signals from multiple sources. Think of system data, process data, incident information, audit findings, and management reports.

By analysing this information, you can identify patterns and anomalies at an earlier stage. This allows you to set priorities and take targeted action. Cyber resilience becomes less abstract and more evidence based. You gain visibility into where action is needed and can clearly explain why.

Data analytics is relevant to both IT and the board. IT specialists need reliable data, effective integrations and practical insights into systems and processes. Boards need insight into key risks, required investments and organisational performance. A strong data approach brings these perspectives together. Technical signals are translated into meaningful management information.

This creates a shared understanding of risks, priorities, and progress. As a result, decision-making improves at both operational and strategic levels.

For many organisations, fragmented and incomplete data is the starting point. You do not need a perfect data landscape to begin using data analytics. We first identify which data sources are available, which information is reliable and which questions you want to answer. Next, we determine which steps are needed to generate meaningful insights. Sometimes the focus is on data quality or data governance.

In other cases, it involves unlocking systems or developing dashboards. By starting with focused and achievable actions, valuable insight can be generated quickly. From there, the approach can be expanded further.