Recorded Webinar: Best practices for creating an effective data quality control framework8 November 2022
Data quality is critical to capital markets processes from identifying counterparties to building customer relationships, regulatory reporting, and ultimately improving the bottom line. It can also be extremely difficult to achieve.
One solution is a data quality control framework that includes an automated and systematic process that monitors the state of data quality and ensures it is maintained above defined thresholds. Data quality is improved and sustained, manual intervention is reduced, and there is flexibility to alter thresholds depending on data quality requirements of particular processes.
This webinar will provide practical guidance on how to create a ‘self-driving’ data quality control framework, including details on required technologies, techniques and resources. It will also review the benefits of such a framework, including better business decisions, enhanced business opportunities, improved operations, and reduced risk.
Listen to the webinar to find out about:
- The ongoing challenges of achieving required data quality
- Why your organisation needs a data quality control framework
- Practical guidance on building and sustaining a framework solution
- Helpful technologies, tools, solutions and services
- Business and operational benefits of a data quality control framework
More about our speakers:
Data Quality Engineer
Lombard Odier Investment Managers
Over a decade long experience of working with data quality and governance frameworks and methods at both buy and sell side firms. Particular expertise around enterprise level challenges and using technology to solve data quality issues.
Alexandra is a Queen’s University Belfast graduate, achieving a BSc in Maths with Statistics and Operational Research. She joined Datactics in July 2019 as a Trainee Data Engineer, before moving into her current role as Data Management Consultant. Working within the GovTech team, Alexandra specialises in delivering client requirements for a major public sector project. Alongside her client work, Alexandra plays a key role in the product development of Datactics software and possesses strong skills in architecting and developing back end solutions.
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