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Data cleaning stories

Why Email and Phone Append Matter for Prescreen Campaigns
Data Protection

Why Email and Phone Append Matter for Prescreen Campaigns

Campaigns can fail at the final mile if stale inboxes and recycled numbers keep time-sensitive offers from reaching the right consumers.

By Shivani Pimpili • 5 min read • Last week
Three Industries, One Common Challenge: Getting Data Right Before MDM
Manufacturing

Three Industries, One Common Challenge: Getting Data Right Before MDM

Poor-quality records could undermine MDM programmes in finance, healthcare and manufacturing as AI begins acting on the data.

By Edmund Ng • 5 min read • Last week
The importance of data enrichment in financial services
Data Analytics

The importance of data enrichment in financial services

Verified records can sharpen lending, fraud and compliance decisions, while enrichment on faulty customer data can simply scale the errors.

By Edmund Ng • 6 min read • This month
Why Customer Due Diligence (CDD) Starts With Clean Data
Fintech

Why Customer Due Diligence (CDD) Starts With Clean Data

Poor data can make sanctions and identity checks miss real risk, leaving banks open to penalties, remediation costs and reputational damage.

By Shivani Pimpili • 6 min read • Last month
Why data management will make or break your RISE with SAP migration
Data Protection

Why data management will make or break your RISE with SAP migration

Poor data housekeeping is adding cost, risk and delays to RISE with SAP projects, with some firms losing over EUR 100,000 a month.

By Phillip Miltiades • 5 min read • Last month
4 practical tips for maintaining data quality
Fintech

4 practical tips for maintaining data quality

Bad records can drive up costs, hurt compliance and damage customer service unless firms keep data accurate as it changes.

By Shivani Pimpili • 4 min read • Last month
Data integration isn't enough: why healthcare data quality comes first
Data Protection

Data integration isn't enough: why healthcare data quality comes first

Incomplete records can lead to missed allergies, duplicate tests and wrong billing, making data quality more urgent than connectivity.

By Bobby Joseph • 5 min read • Last month
Cloudera adds GPU acceleration to Apache Spark 4.1 pipelines
Private Cloud

Cloudera adds GPU acceleration to Apache Spark 4.1 pipelines

The new feature could cut Spark job runtimes by up to 4x, easing cloud bills for firms running data-heavy AI and analytics workloads.

By Sean Mitchell • 4 min read • Last month
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 month
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 • Last 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 • Last 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 • Last 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 • Fri, 17th Jul 2026
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 • Wed, 15th Jul 2026
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 • Mon, 13th Jul 2026
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 • Fri, 10th Jul 2026
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 • Wed, 8th Jul 2026

Stories from Other Regions

Data cleaning stories

Alkami & Arkatechture team up on bank data analytics
Software-as-a-Service

Alkami & Arkatechture team up on bank data analytics

Banks and credit unions could cut manual data prep and gain faster customer insights as Armstrong Bank already uses the combined system.

By Karen Joy Bacudo • 4 min read • Last month