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Data cleaning stories

Modern data teams: key roles, structures and data quality
Digital Transformation

Modern data teams: key roles, structures and data quality

Poor data quality is still holding back AI and reporting, even as businesses add specialist roles and restructure their data teams.

By Shivani • 6 min read • Last week
Why You Need Phone Validation in Your Customer Data Toolkit
Customer Relationship Management

Why You Need Phone Validation in Your Customer Data Toolkit

Invalid customer phone numbers can drive up costs, disrupt messages and weaken fraud checks across marketing and support systems.

By Bobby Joseph • 6 min read • This month
Customer data integration: A data quality checklist
Data Protection

Customer data integration: A data quality checklist

Poor data quality can make integrated customer records unreliable, driving wasted spend, compliance risk and manual correction work.

By Shivani Pimpili • 6 min read • This month
What Role Does Data Quality Play in Data Governance?
Data Analytics

What Role Does Data Quality Play in Data Governance?

Poor data is derailing AI projects and inflating delivery errors, customer service failures and compliance risks across organisations.

By Edmund Ng • 5 min read • This month
Google brings BigQuery SQL cells to open-source notebooks
Data Analytics

Google brings BigQuery SQL cells to open-source notebooks

Notebook users can now query local pandas data with SQL and pass results back to Python, reducing data shuffling in analytics workflows.

By Sean Mitchell • 4 min read • Last month
5 Data & AI governance trends every CDO should be watching in 2026
Data Protection

5 Data & AI governance trends every CDO should be watching in 2026

Data quality is overtaking AI as a top concern in 2026, with CDOs under pressure to prove the information behind automated decisions is trustworthy.

By Edmund Ng • 5 min read • Last month
Why data governance use cases fail without accurate data
Data Protection

Why data governance use cases fail without accurate data

Enterprises risk wasted spending and bad decisions because governance frameworks cannot fix inaccurate data already in their systems.

By Edmund Ng • 5 min read • Last month
Why Customer 360 initiatives fail to deliver ROI
Customer Relationship Management

Why Customer 360 initiatives fail to deliver ROI

Poor data quality, not platform failure, is usually why Customer 360 programmes miss expected returns and erode trust across teams.

By Edmund Ng • 6 min read • Last month
Why Every Chief Data Officer Needs a Modern Data Quality Strategy for AI
Data Protection

Why Every Chief Data Officer Needs a Modern Data Quality Strategy for AI

Poor data quality is now a business risk for Chief Data Officers, undermining AI, customer service and compliance across the enterprise.

By Bobby Joseph • 6 min read • Last month
5 Tips to Align Your Data Strategy with AI
Data Protection

5 Tips to Align Your Data Strategy with AI

Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.

By Bobby Joseph • 5 min read • Wed, 1st Jul 2026
Litera launches Clean+ cloud metadata tool for firms
Software-as-a-Service

Litera launches Clean+ cloud metadata tool for firms

Law firms can now cut hidden document data from Outlook attachments without maintaining their own server infrastructure.

By Sofiah Nichole Salivio • 4 min read • Sat, 20th Jun 2026
When Agents act on bad data, the damage is automatic
Digital Transformation

When Agents act on bad data, the damage is automatic

Bad contact records can send autonomous AI workflows off course, with errors compounding across thousands of customer actions at once.

By Bobby Joseph • 6 min read • Fri, 19th Jun 2026
Ramp launches Applied AI Solutions for finance teams
Software-as-a-Service

Ramp launches Applied AI Solutions for finance teams

Finance teams could see faster automation as Ramp places engineers inside clients to build bespoke AI systems on its platform.

By Karen Joy Bacudo • 4 min read • Tue, 16th Jun 2026
The 6-step AI readiness checklist
Data Analytics

The 6-step AI readiness checklist

Poor data quality could cost supply chains millions a year, and AI will only magnify errors unless records are cleaned first.

By Edmund Ng • 5 min read • Sat, 23rd May 2026
Epicor expands Ascend with AI for 90-day ERP go-live
Digital Transformation

Epicor expands Ascend with AI for 90-day ERP go-live

Cloud ERP customers could see deployments compressed to 90 days as Epicor adds AI tools to speed migration and cut disruption.

By Sean Mitchell • 4 min read • Wed, 20th May 2026
Data matching explained: The key to clean, connected data
Customer Relationship Management

Data matching explained: The key to clean, connected data

Poor data is costing firms millions, making record matching vital for cleaner datasets, better decisions and lower compliance risk.

By Bobby Joseph • 6 min read • Wed, 20th May 2026

Stories from Other Regions

Data cleaning stories

Xero brings financial data into Microsoft 365 apps
Software-as-a-Service

Xero brings financial data into Microsoft 365 apps

Small businesses can now pull live bookkeeping data into Excel, Word and PowerPoint without leaving Microsoft 365 or exporting CSV files.

By Karen Joy Bacudo • 4 min read • Last month
How mid-sized companies can build an effective data quality framework
Data Analytics

How mid-sized companies can build an effective data quality framework

Bad data is costing Australian firms about AUD A$493,000 a year and slowing decisions in mid-sized businesses.

By Bobby Joseph • 6 min read • Fri, 5th Jun 2026