Data quality management

By leveraging and sharing technical and operational knowledge and in-depth industry experience, Reply develops effective and pragmatic solutions. Reply takes the time to listen to its clients and evaluate their particular requirement, before offering a number of tactical and strategic choices. These are based on independent and challenging insights and supported by facts and industry benchmarks.

Reply’s implementation philosophy is underpinned by the following principles:

  • Demonstrating business value before implementation by executing a 'proof of benefit';
  • Driving process and organisation change early in parallel with infrastructure development – not build a system that no one will use;
  • Starting with small steps, beginning with a single organisation to test the processes and technology in real business situations, then scale these up to other divisions;
  • Building momentum and then rapidly deploy solutions to the remainder of the organization once any issues are worked out.
  • Providing support throughout.

Our Data quality management service offering is focused on the following key industries:

  • Banks and building societies
    Significant regulatory pressures and fierce competition have made data quality management a core organisational requirement and, more importantly, a source of competitive advantage. If the reliability and quality of data is inconsistent it can be potentially misleading and faulty, resulting in harmful conclusions.
  • Asset Management
    Data management is a core organisational requirement and, more importantly, a source of competitive leverage. If the reliability and quality of data (e.g. static data such as the securities master file or operational risk-related data) is inconsistent it can be potentially misleading and faulty, resulting in harmful conclusions.
  • Non financial institutions
    If the reliability and quality of data is inconsistent it can be potentially misleading and faulty, resulting in sub-optimal decision-making.
  • Insurance companies
    Regulatory pressures and fierce competition have made data quality management a core organisational requirement for insurers and, more importantly, a source of competitive advantage. If the reliability and quality of data is inconsistent it can be potentially misleading and faulty, resulting in harmful conclusions.

If you would like to know more about what we can do for you, contact us.

Contents about - Tag: Data quality management

Integration

Supporting a multidisciplinary task force in providing pragmatic solutions to achieve effective integration while protecting the client’s relationship with fund managers.

Practice note

Basel III: increasing the resilience of the banking sector by strengthening the quality and quantity of regulatory capital.