Data cleaning stories
Poor data quality could cost supply chains millions a year, and AI will only magnify errors unless records are cleaned first.
Cloud ERP customers could see deployments compressed to 90 days as Epicor adds AI tools to speed migration and cut disruption.
Poor data is costing firms millions, making record matching vital for cleaner datasets, better decisions and lower compliance risk.
Better customer targeting and fraud detection are among the gains as firms turn incomplete records into usable intelligence.
Poor data can make AI agents scale errors at speed, leaving customer-facing systems unreliable and potentially non-compliant.
Cleaner patient records can cut claim denials, speed reimbursements and help hospitals avoid compliance risk as data errors spread through revenue cycles.
Downtime on Colt's switchover was cut to 6.5 hours, helping the telecoms group reduce disruption across operations in 40 countries.
Poor master data can leave firms overpaying duties, missing sustainability targets and struggling to trace suppliers as tariffs shift.
Home services firms can now target likely buyers by post as Robotic Marketer folds direct mail into its AI marketing platform.
Poor patient records are driving errors, denied claims and delays as hospitals race to secure the data behind digital care.
Poor data quality and access are hampering SAP migration plans, with 89% of respondents saying the problems will also slow AI adoption.
Bad data is costing Australian firms about AUD A$493,000 a year and slowing decisions in mid-sized businesses.
The £10 million funding is meant to help brands cut eCommerce data errors, speed up insights and track SKU-level changes in real time.
Poor-quality customer records are skewing AI and costing retailers money, despite many firms still not trusting the data behind decisions.
Cleaner address records can cut failed deliveries, trim costs and lift conversions as retailers chase faster, more reliable eCommerce fulfilment.
The new hires are set to support Acquirz’s expansion after buying Marketscan, with AI and campaign expertise to help scale client services.
Poor address records are driving misdeliveries, extra fuel use and customer churn, costing retailers GBP £11.60 a parcel on average.
Public bodies risk unfair or unlawful AI decisions unless they can trace datasets back to source, a Butterfly Data scientist said.
Fragmented records and weak governance are making health IT roll-outs slower, costlier and less effective than budgets suggest.
Beta testing showed the platform can cut manual work quickly, completing more than 350 automations in under two weeks at one organisation.
