Data cleaning stories

Insurers race to clean and connect sprawling customer records into a single AI‑ready view, paving the way for hyper‑personalised cover.

Enterprises must replace ad-hoc data cleansing with real-time, AI-ready data integrity architecture to secure compliance and competitive edge.

SaaS vendors are baking real-time data quality checks into core products to cut waste, curb fraud, and turn cleaner data into trust.

AI's promise for 2026 hinges on fixing decaying, duplicate customer data to curb hallucinations and unlock sharper, revenue-driving insight.

In 2026, retailers win not by owning more data, but by orchestrating trusted, real-time data that powers every decision and experience.

Melissa's global phone verification delivers real-time accuracy, fraud protection and compliance, turning unreliable phone data into growth.

WealthArc boosts global custodian links and builds AI agents to clean, reconcile and scale portfolio data for cross-border wealth managers.

Duplicate patient records can jeopardise safety, inflate costs and risk fines; here's how better data practices and tools can prevent them.

As data grows messy and massive, AI-powered matching promises sharper insight, lower long-run costs and an edge over rigid rule-based tools.

Clean B2B data boosts marketing, sales and compliance; profiling, validating and standardising records cuts waste and sharpens decisions.

Outdated, inaccurate and duplicate records are crippling data-driven decisions, but simple verification and cleansing tools can reverse the damage.

Digital transformation falters not for lack of tech, but because untrusted data quietly undermines scale, speed and customer experience.

Generative AI promises transformation, but without modern, rigorous data governance frameworks, projects risk failure, fines and lost trust.

Bad data is quietly wrecking Asia's eCommerce, fuelling failed deliveries, higher costs and eroding customer trust from click to doorstep.

Flawed, fragmented data is wasting time, money and AI potential; firms must fix ownership, visibility and tooling to restore trust.

ASOS's GBP £130m stock write-off shows AI gloss cannot mask a broken ERP, as messy data turns clever tools into costly liabilities.

Tamr launches Curator Hub, combining AI and human oversight to improve complex data quality and support enterprises' generative AI projects.

Salesforce launches Tableau Next, an AI-driven analytics platform integrating with Agentforce to automate data tasks and enhance business intelligence insights.

UK businesses struggle to balance sustainability and AI growth as 38% of data is unused, despite 92% acknowledging the environmental impact of single-use data.

Retailers are gearing up for a recovery in 2025 by leveraging AI to harness customer data, aiming to tailor their offerings amidst changing consumer habits.