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a set of 7 aces of the same kind, and 3 dies, card matching game, representing entity resolution

Machine Learning in Entity Resolution: Automating Data Standardization at Scale

Entity resolution fundamentally transforms how organizations handle data matching and standardization. Manual processes and rule-based systems fail to address real-world complexity the more so, the larger the scale. Machine Learning enables automated, adaptive matching that grows more accurate over time. While technology is a part of the equation, you should understand how central to the […]

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decor - pit stop crew doing their work by a car representing insurance agency acquisition and following AMS data migration work

Insurance Agency Acquisitions – AMS Data Migration

M&A growth pushes insurance brokers to address system consolidations. Each acquired agency brings its own Agency Management System (Vertafore AMS360, Applied Epic, etc.) with unique data structures, business rules, and years of accumulated records. Policy data is tied to specific writing companies. Some of them have ‘DNU’ or ‘zzz’ prefixes, many of them marked inactive/not

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decor - block-stacking block-crashing game representing post-M&A integration

Post-M&A Integration: Making IT System Consolidation Effective

System consolidation is one of the most complex challenges in mergers and acquisitions. While executives focus on long-term strategic benefits and market opportunities, IT and data teams face the laborious task of merging disparate technological ecosystems. Key takeaways: System consolidation fails by treating data migration as just a technical task. Real data has messy names,

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