Cision Report Warns Brands Are Falling Into Costly 'Data Fragmentation Trap'
A new report from Cision highlights that brands are struggling with a 'data fragmentation trap' where disconnected search, social, and AI signals lead to poor business intelligence. The analysis suggests that organizations must integrate these data sources to avoid hidden costs and improve decision-making.
Why it matters
As AI becomes central to marketing, the ability to synthesize disparate data streams is becoming a competitive necessity for global brands.
New analysis shows how disconnected search, social, and AI signals create blind spots, delay decisions, and escalate risks
CHICAGO , Aug. 5, 2026 /PRNewswire/ -- Cision, a global leader in consumer and media intelligence, today released The Data Fragmentation Trap: Why More Data Isn't Helping Brands See Clearl y , a new report examining why brands struggle to turn high volumes of data into meaningful business intelligence.
As AI transforms how information is created, discovered, and consumed, organizations are gathering more signals than ever, from search engines and social media to news coverage and AI-generated answers. Yet, many organizations fall into a data fragmentation "trap," still relying on an old, channel-by-channel model based on gathering signals separately. This approach can be costly for organizations. It creates critical blind spots, slows decision making, and limits their ability to understand and influence brand perception.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in