Data Risk Governance

Every organisation needs to make decisions regarding information assurance in terms of managing data securely, adding value to business activities and minimising costs. It is also important to understand inter-relationships, dependencies and complexities of data governance aligned to decision-making needs through business intelligence, data analysis and executive reporting.

Holistic Solutions to Data Governance Frameworks

NS Global Consulting provides a holistic solution to data governance and information assurance needs by developing a robust framework to manage data securely throughout the ‘data lifecycle’, from data production through to retirement. Our ‘data-centric’ approach to data governance and information assurance enables organisations to secure data right from its very source to help minimise risk exposure and protect data as it moves right across organisations.

Corporate Risk Consultancy Solutions

Data Governance Frameworks

Benefiting from expertise in designing Data Governance Strategies, we can deliver robust Data Governance Frameworks spanning entire organisations. NS Global Consulting provides a step-by-step approach to designing, developing and promoting data governance and information assurance frameworks to ensure sustainable solutions aligned to changing legal, regulatory and business operating environments.

Data Governance Council / Steering Committees

Championing Data Governance Guiding Principles should be the creation of a Data Governance Council as part of a Data Steering Committee overseeing roles, responsibilities and accountabilities across an organisation. NS Global Consulting offers essential guidance in setting up this function as well as giving a clear sense of direction, vision and ‘target state’ for each data governance discipline. For instance, we can help by driving forward priorities for business data, associated data projects and decision-making governance.

Data Governance & Stakeholder Accountability

Providing ongoing coaching, training courses and subject matter expertise to support Business and Technical Data Custodians in discharging responsibilities and promoting best practice. This includes defining processes for sourcing/managing data, quality controls, time sensitivities, service level agreements and associated KPI metrics (targets). We also look at how best to resolve potential issues, emerging trends and conflicting priorities between Business / Technology Portfolio Owners and Technical Data Custodians to ensure robust information governance solutions.

Data Governance Model & Target Data Architectures

Essentially, this covers three key areas, notably Target Data Architecture States, Data Quality Strategy and Data Change Control Management. Target Data Architecture State essentially covers agreed ‘in-scope’ data areas, including reference data, instruments, issuers, portfolios, funds, brokers and dynamic data such as transactions and holdings.

Data Governance Framework Oversight

Firstly, there must be consistency between Data Governance Frameworks and Technology Enterprise Architecture functions. Moreover, best practice must be communicated, promoted and enforced across the organisation. Finally, ensuring all changes are fully aligned to industry benchmarks, recognised standards and future business requirements to deliver a model of best practice

Data Governance & Information Assurance Challenges

  • Ownership and control of data assets and processes within the organisation
  • Evaluating the right approach to data governance and information assurance
  • Assessing critical investments in IT architecture and data management systems
  • Knowing where data is stored, who has access to it and potential risks of losing client data

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