Our Core Activities

The Information Management Assessment is a business-focused engagement and analysis that evaluates the maturity of an organization’s use of information as a strategic asset. Using a proven methodology, we compare the organization’s information delivery environment and target objectives with an information evolution model. This model provides a strategic framework and measurement baseline for assessing how the organization can enhance its decision-making capabilities. The client receives an analysis of how to progress from the current maturity level toward its defined objectives, together with an immediate action plan and a prioritized roadmap for long-term implementation.

As part of the engagement, we assess the company’s or institution’s data quality management maturity through prepared questionnaires followed by interviews. During the interviews, we jointly identify strategic objectives and professional requirements, and review challenges and opportunities from multiple perspectives. Based on these findings and our data management methodology, we develop recommendations and a data quality assessment roadmap. The recommendations focus on short-, medium- and long-term actions to address gaps and achieve rapid value from current and future data quality investments. Prioritized recommendations cover not only technology, but also people — such as training and skills — and processes, including monitoring and the data quality management lifecycle. Our integrated methodology supports the complete data management lifecycle, including data profiling, data quality management, data integration, data enrichment and data validation. It can be applied both to support ongoing operations and to organization-wide data cleansing and improvement initiatives.

During the assessment, we evaluate current analytics requirements, their environment, processes and critical success factors. We conduct a comprehensive review of the key elements of the analytics lifecycle, including the supporting IT infrastructure. We also focus on future challenges and align our recommendations with the client’s objectives, priorities and strategies to further develop the analytics environment. We provide short-, medium- and long-term recommendations to close identified gaps and accelerate value from current and future business analytics investments. Prioritized recommendations address technology as well as people — including training and skills — and processes such as data integration and the analytics lifecycle.

During the assessment, we consider the following areas:

Following the assessment, we work with stakeholders to review the activities of data owners and data management team members, examine data governance decision-making mechanisms and compare them with leading benchmarks. Together with the client, we interpret the results and current maturity level, and recommend short-, medium- and long-term actions required to achieve the desired target state.

At the end of the assessment, we provide:

During the assessment, we evaluate current risk analytics and alerting requirements, their environment, processes and critical success factors. We comprehensively review the key elements of the analytics lifecycle, including the supporting IT infrastructure. We also focus on future challenges and align our recommendations with the client’s objectives, priorities and strategies to further develop the risk analytics and alerting environment. We provide short-, medium- and long-term recommendations to address gaps and accelerate value from current and future investments. Prioritized recommendations cover technology as well as people — including training and skills — and processes such as data integration and the analytics lifecycle.

The main steps of our risk assessment and alerting methodology are:

During the engagement, we assess current fraud prevention requirements, their environment, processes and critical success factors. We comprehensively review the key elements of the analytics lifecycle, including the supporting IT infrastructure. We also consider future challenges and align our recommendations with the client’s objectives, priorities and strategies to strengthen the fraud prevention environment. We provide short-, medium- and long-term recommendations to close identified gaps and accelerate value from current and future fraud prevention investments. Prioritized recommendations address technology as well as people — including training and skills — and processes such as data integration and the analytics lifecycle.

The main steps of our fraud prevention methodology are: