"World of DaaS" The LM Brief: The DaaS Renewal Landscape
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Nov 7, 2025 Data leaders tackle the challenges of customer retention in a competitive data economy. They share five key lessons on reducing churn and proving ROI. Technical issues like metadata and versioning are flagged as major churn drivers. Vendors are urged to co-own customer adoption and demonstrate quantifiable business impact early on. The importance of continuous education and trust is emphasized, along with the need for fast production timelines and seamless operational value to keep clients engaged.
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Renewal Fatigue Reshapes Vendor Playbooks
- Renewals face extreme CFO scrutiny and theoretical value no longer secures deals.
- Vendors must prove concrete outcomes or risk churn in the modern data economy.
Adoption, Not Delivery, Drives Early Churn
- Early churn most often stems from data that is inconsistent or misunderstood, not just 'dirty' data.
- Failure to operationalize data into production quickly makes the vendor accountable for adoption, not just delivery.
Technical Hygiene Equals Customer Time Saved
- Technical hygiene like metadata, lineage, and version control directly consumes customers' data science time.
- Poor metadata or versioning shifts client effort from insight to cleanup, creating quantifiable friction costs.