Data Quality stories
Outdated web pages and poor product data could erode customer trust and leave large UK businesses exposed to GBP £525 million in lost revenue.
Retailers risk losing shoppers to AI answers as poor product data leaves items absent from recommendations and search clicks fall.
Faster transfers are exposing a gap in Europe's payments systems, where firms still struggle to link money movement with data, controls and accountability.
The preview aims to help AI agents explain business outcomes by keeping graph relationships and KPIs together in BigQuery, reducing errors.
Invalid customer phone numbers can drive up costs, disrupt messages and weaken fraud checks across marketing and support systems.
Pressure to decide faster is exposing how stale data and shaky trust can cloud judgement, with 91% of leaders wanting real-time data.
AI use in Australia and New Zealand is shifting from pilots to routine finance and marketing tasks, SAP said in a regional review.
Firms selling AI into Europe now face extra costs and design changes as the bloc's new rules extend beyond EU-based providers.
Growing payroll mistakes can now trigger fines, back-payments and board scrutiny in manufacturing as super rules and labour hire reforms bite.
Only 11 per cent of executives said their data was ready for AI, even as 84 per cent trusted its output without human review.
Marketers will gain access to sentiment and research signals as LUMOS expands its audience graph with Pureprofile data.
Poor data quality can make integrated customer records unreliable, driving wasted spend, compliance risk and manual correction work.
Canadian banks will be able to cut months of compliance work to days as the first joint product automates data risk checks and audit evidence.
SAP's survey of 2,600 executives finds fragmented AI use is limiting returns, with data gaps and weak governance slowing rollout.
The inquiry could shape rules on jobs, safety and public services as firms warn that overreach may drive investment offshore.
Advisers could see less admin and quicker follow-up as SEI widens its AI toolkit with software that turns client meetings into records and tasks.
Finance teams across Southeast Asia could cut reconciliation delays as fragmented payment data makes manual matching slower and riskier.
Disconnected systems are slowing decisions, masking costs and forcing Canadian firms to reconcile data manually before they can trust it.
Most lenders still lack the data quality and governance needed to trust AI, even as 76% use it for credit and fraud decisions.
Most Australian lenders are using agentic AI in underwriting, but just 3% say their data is fully ready for AI-driven decisions.