---
title: How Claims Data Volatility Is Impacting Biopharma
description: Explore how data volatility disrupts biopharma commercialization, leading to flawed analytics and delayed decisions. Discover strategies to enhance data reliability and vendor accountability.
image: https://hello.mckessoncompile.com/hubfs/Featured_Logo_McKessonCompile_Vertical_.png
---

![free reprot icon](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/free%20reprot%20icon.png?width=90&height=78&name=free%20reprot%20icon.png "free reprot icon")

## How Claims Data Volatility   Is Impacting Biopharma:  A 2025 Industry Snapshot

![HeaderArt_wHeadline_1920x545_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/HeaderArt_wHeadline_1920x545_300dpi.png?width=2000&height=573&name=HeaderArt_wHeadline_1920x545_300dpi.png "HeaderArt_wHeadline_1920x545_300dpi")

#### The data volatility ripple effect 

#### 68% of biopharma leaders reported experiencing disruptions in  their real-world claims data in the past year. The volatility leads to  flawed analytics, delayed timelines, and lost productivity.

A new survey sponsored by McKesson Compile™ uncovers how  
volatility in real-world claims data is impacting commercialization —  
and how teams are adapting.

#### Snapshot: Erroneous insights

#### The graphic below provides a preview of the analysis featured in the report. Here, 73% of respondents claimed data issues led to false insights. Among them, 86% were forced to reverse a business decision. This is only a glimpse into the consequences of data volatility.

![DataVolatility_Chart_907x624_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/DataVolatility_Chart_907x624_300dpi.png?width=2000&height=1376&name=DataVolatility_Chart_907x624_300dpi.png "DataVolatility_Chart_907x624_300dpi")

Download the report

#### Get the full report to explore:

![01_DataVolatility_Icon_110x110_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/01_DataVolatility_Icon_110x110_300dpi.png?width=85&height=85&name=01_DataVolatility_Icon_110x110_300dpi.png "01_DataVolatility_Icon_110x110_300dpi")

#### Where data volatility is hitting commercial teams the hardest and why it often   goes undetected 

![02_Disruptions_Icon_110x110_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/02_Disruptions_Icon_110x110_300dpi.png?width=85&height=85&name=02_Disruptions_Icon_110x110_300dpi.png "02_Disruptions_Icon_110x110_300dpi")

#### How disruptions are  delaying decisions, increasing rework,   and introducing risk

![03_BiopharmaLeaders_Icon_110x110_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/03_BiopharmaLeaders_Icon_110x110_300dpi.png?width=85&height=85&name=03_BiopharmaLeaders_Icon_110x110_300dpi.png "03_BiopharmaLeaders_Icon_110x110_300dpi")

#### What steps biopharma  leaders are taking to strengthen data  reliability and vendor  accountability

![04_DataVendor_icon_110x110_300dpi](https://hello.mckessoncompile.com/hs-fs/hubfs/TPG/LP%20images/04_DataVendor_icon_110x110_300dpi.png?width=85&height=85&name=04_DataVendor_icon_110x110_300dpi.png "04_DataVendor_icon_110x110_300dpi")

#### What to look for   in a data vendor  when it comes to   data disruption

#### Fill out the form to access the complete survey findings   and strategic recommendations.