Data Quality stories
Synthetic fraud is slipping past standard checks, prompting banks to use real-time address matching to tie identities to physical locations.
Many employers cannot link above-market pay to performance, with 58% assessing fewer than half of significant premiums against business outcomes.
Most data programmes fail on culture, not code, with 93.2% of senior executives citing change management as the main barrier to adoption.
Poor property data can distort valuations, tenant checks and investment decisions, so real estate teams need strict verification before systems use it.
Inaccurate records are slowing service activations and could distort telecom valuations, with 78% of operators saying data quality affects mergers and acquisitions.
Most organisations are still losing time on manual data prep and siloed records, with 86% reporting AI disruption in the past year.
The acquisition gives enterprises extra controls to stop bad data from skewing AI outputs and automated actions at scale.
Yet many insurers still wait months to connect new systems, with only 29% saying tech plans delivered major gains last year.
Poor customer records can disrupt orders, marketing and service just as Black Friday and Cyber Monday traffic peaks across eCommerce sites.
Boards are being warned that AI, identity and software supply chain gaps are outpacing controls, leaving organisations more exposed to fast-moving attacks.
Businesses will be able to build data pipelines in a governed environment, as Incorta seeks to cut tool sprawl and reduce AI errors.
That shortfall is already hitting projects, with 37% of firms pausing, scaling back or abandoning AI initiatives because of poor data quality or availability.
Nearly a third of UK finance leaders cannot quantify AI's benefits, highlighting a gap between enthusiasm and proof as liquidity teams face rising pressure.
Only 28% of firms in Komprise's survey have measured AI returns, despite 68% saying their organisations are already maturing or mature in AI.
The tie-up aims to fix a long-standing data gap in IT operations, giving service teams richer context to speed incident handling and cut risk.
The hire comes as the company steps up product investment after reporting 46% revenue growth for the year to June 2026.
The funding will help Tamr speed up development of agentic features as enterprises struggle to make fragmented records usable for AI systems.
Barriers such as shipping costs and unclear sizing are stopping many Americans from turning interest in UK and European labels into purchases.
Poor customer records are distorting Gen Z marketing in Australia, driving wasted messages, failed deliveries and weaker segmentation.
Most motorists may be fuelling avoidable claims delays, with just 30% saying they know exactly what details to swap after a collision.
