Coalesce：2026金融服务业遗留数据管道隐性成本分析报告（英文版）（14页）.pdf

1、The Hidden Costsof Legacy PipelinesFinancial ServicesWhats InsideIntroduction:The hidden tax on data teamsThe velocity tax:how legacy pipelines starve your team of timeThe trust deficit:when nobody can prove the data is rightThe cost spiral:why your platform bill keeps climbingThe compounding effect

2、:how these three problems feed each otherWhat teams that break the cycle do differentlyThe case for actionINTRODUCTIONThe Hidden Tax on Data TeamsYou have visibility into your Snowflake or Databricks bill.You know about headcount costs.You can see the line items for your data ingestion platform,your

3、 BI licenses,and your cloud infrastructure.These costs are visible,budgeted,and reviewed quarterly.But there is another cost,one that doesnt appear on any invoice.Its the time your data engineers spend rewriting SQL that someone else wrote three years ago without documentation.Its the AI initiative

4、that sits on the backlog because nobody can certify that the training data is governed.This is the hidden tax of legacy data pipelines.It compounds every quarter,and its significantly more expensive than most financial services(FinServ)leaders realize.40%$12.9M66%More spent on maintenance by orgs th

5、at ignore technical debtAverage annual cost of poor data quality per organizationOf banks struggle with data quality and integrityGartnerMosaic Smart Data,2026GartnerThis guide examines where that hidden tax accumulates,how it compounds,and what distinguishes the FinServ organizations that have brok

6、en the cycle.This isnt a product pitch its a framework for understanding the three interlocking costs(velocity,trust,and platform spend)that silently erode your data teams capacity and your organizations ability to act on its own data.The data points come from industry research,regulatory filings,an