The case study focuses on two examples of digital transformation in the financial services industry – commercial insurance and pension plan management. In each case, existing data quality issues in legacy systems came to light during the data migration analysis and planning. Tackling data quality issues at this stage is paramount to ensure the success of new digital solutions. Join us to review some of the strategies that were used to address these challenges, and how experienced business analysts became indispensable resources for these activities.
- Data quality issues that affect digital transformation initiatives
- What strategies to use to tackle legacy data issues
- How to use business analysis resources to support data quality and digital transformation
- Risks and success factors for data quality and digital transformation
