Data cleaning stories

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

AI agents are rapidly entering Singapore sales teams, with 80% already using AI tools as leaders turn to automation to ease admin pressures.

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Outdated, inaccurate and duplicate records are crippling data-driven decisions, but simple verification and cleansing tools can reverse the damage.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

Dirty B2B data silently drains revenue; smart cleansing, automation and best practice can revive performance and protect your brand.

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

Phone numbers are becoming the new trust filter, helping businesses block fraud, cut wasted messages and secure real, reachable customers.

Bad data is undermining AI success, causing costly productivity losses, eroding trust, and risking regulatory penalties in organisations worldwide.

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

In 2026, businesses will finally unlock AI's true value by mining decades of unstructured data-two kilometres beneath the surface of their digital archives.

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

Sourcetable has secured USD $4.3 million in funding to launch the first AI-driven spreadsheet, aiming to revolutionise data analysis for everyday users.