• Uncovering why incomplete or inconsistent connections between sources can create significant challenges with data quality, and how to efficiently find and fix the root cause
• Determining how far back you should clean or enrich your firm’s data to balance ROI and effort when deciding what data to trust, clean, or ignore
• Deciding which systems to clean first to create a few clean anchor projects to build best practices that can scale

CASE STUDY