Your marketing automation is only as good as your data.

If your "enterprise" segment is half SMBs with wrong company-size values, your nurture is hitting the wrong people.

Audit segment fields first.

#MarketingAutomation #DataQuality

$975K Settlement For Man Jailed Due To Mistaken Identity The man could also receive a $200,000 payment from the state.

Man Institutionalized Due To Mistaken Identity Will Get $975K Settlement - Honolulu Civil Beat www.civilbeat.org/2026/03/home...
#DataQuality

Data quality is back—and more critical than ever. 💾

🟢 @Qlik’s Brendan Grady says organizations in 2026 are refocusing on clean, trusted data for real-time decisions both humans and AI can trust.

#TFDSpotlight #TFDPodcast #QlikConnect #TFDx #AgenticAI #DataQuality #AI

Stages of data sabotage:

😬 Analysts clean more than analyze
📉 Campaigns feel like guesswork
🔀 Customer records don't match across systems
🤷 Nobody trusts the dashboards
⏳ Every new tool needs a "data project" first

3+ = foundation problem.

#DataQuality

An enterprise spent 8 months building an AI model.

Deployed it. Marketing shifted strategy.

Two weeks later: high-value customers misclassified. 😬

Root cause? 26% duplicate rate in training data.

Same algorithm + clean data = 3x better results.

#AI #DataQuality

If your data can’t be trusted, can your insights be?
Growth isn’t the problem. Uncontrolled data is.

🔗 Arbisoft helps you govern Salesforce data, building a system you can actually trust: https://tinyurl.com/ycy8tpvu

#Salesforce #DataQuality #AI #ArbisoftServices

AI has the potential to strengthen public trust if implementation prioritizes equity, privacy and ethical safeguards. With thoughtful governance and clear purpose, AI can contribute to a more efficient and fair government structure. taxodiary.com?p=57989 #AIEthics #DataQuality #ExplainableAI

Searchbug - Access Denied

Sending product alerts by SMS? Bad phone data can cost you delivery, money, and user trust. Phone validation helps make sure alerts reach real, reachable users.

Read here: www.searchbug.com/info/phone...


#SMSMarketing #PhoneValidation #ProductAlerts #DataQuality #APIs

Most expensive data problem: records that LOOK right but aren't.

Valid email format, real company, plausible phone. But the email's someone else's and the phone died in 2019.

Track "last verified" dates.

#DataQuality #DataHygiene

The consequences of poor data quality reach beyond technology. They affect public services, business forecasting and trust in digital systems. Improving data integrity requires coordinated investment in modern systems, education and long-term strategy. taxodiary.com?p=57959 #DataQuality

Great blog from the LexisNexis InterAction+™ Data Quality Services team, "Data Quality: The Unsung Hero to Your Law Firm’s CRM Success - read more now! https://bit.ly/3Zak9Yv

#DataQuality #LegalTech

Building Data Observability: Monitoring Nulls, Drift, Freshness and Business Impact

Data observability monitors nulls, drift, and freshness, catching pipeline issues before they corrupt dashboards, models, or business decisions. #dataquality

Happening tomorrow! Part 3 of our DHIS2 Implementation Insights webinar series: buff.ly/iqyx6bL

🗓️ 19 March, 14:00 CET

Register now to join us!

#DHIS2 #DataQuality #Webinar

🧵 Your data looks fine — until it doesn't. Curious about 6 signs your data quality is quietly killing your projects?

Full guide here 👇

hedda.io/when-data-tu...

#dataquality #datastrategy #digitaltransformation

Don't build an AI strategy.

Build a data strategy. 🎯

Every AI conversation starts with "we have the data."

Every audit ends with "...not that data."

The gap is where pilots go to die.

#AI #DataQuality

“We Just Eyeball Row Counts and Pray” | DataKitchen We read 849 comments across 18 community threads on Reddit, Hacker News, Stack Overflow, and the dbt Community Forum. The #1 reason data engineers don't test: nobody gives them the time. The #2 reason...

"We Just Eyeball Row Counts and Pray"
What Internet Communities Really Think About Why Data Engineers Don't Test. We read 849 comments across 18 community threads datakitchen.io/we-just-eyeb...
#dataquality #dataengineering #databs

$50K order when your average is $500. Best customer or decimal error?

Automate the flagging. Never automate the deletion. Anomalies need human review.

#DataQuality #AnomalyDetection

Last Friday we officially welcomed the third cohort of our Data Quality Certificate Program with a kick-off event at the LMU in Munich! 🎉

This innovative six-month program aims to broaden data science skills with a special focus on data quality.

#KODAQSAcademy #DataQuality #SocialScience

Biggest source of dirty data? Not old records. New ones from forms with no validation.

"Google" / "Google LLC" / "google" = three records, one company.

Use dropdowns and input masks. Prevent the mess.

#DataQuality #FormDesign

if 95% of organizations are confident in their #AI #document pipelines, why do more than half of those same organizations report frequent quality failures?

Get the full breakdown in our AI Readiness 2025 Addendum: bit.ly/4sBYSmT

#AI #DocumentProcessing #DataQuality

Artificial Intelligence and the Data Quality Problem No One Can Ignore - MedCity News Healthcare is pouring money into AI, but poor data quality is quietly sabotaging results by scaling bias, errors, and mistrust instead of value. Until organizations fix historical data, set accuracy b...

Success for #artificialintelligence in #healthcare still seen to hang with #DataQuality. Until data gets cleaned up more and more consistent, concerns will linger. medcitynews.com/2026/03/arti...

Understanding where AI gets its knowledge, how it learns and what biases may be embedded within it is essential for creating ethical, effective and trustworthy AI. taxodiary.com?p=57891 #ExplainableAI #DataQuality #EthicalAI

County assessor pauses annual reassessments, sets 2026 level of assessment at 95% and outlines Tyler conversion Tompkins County's assessor told the committee the office will pause annual reassessments for now, set the 2026 assessment level at 95% of market value, and move to Tyler Technologies' enterprise assessment system with an anticipated July 1, 2027 go-live.

The Tompkins County assessor has hit pause on annual reassessments to tackle a growing backlog while gearing up for a major database upgrade—what does this mean for your property taxes?

Learn more here

#TompkinsCounty #NY #CitizenPortal #DataQuality #PublicAccess #TompkinsCountyAssessments

Stages of data maturity:

Beginner: "We have data"
Intermediate: "We have a lot of data"
Advanced: "We have clean data"
Master: "We have governed, unified, analysis-ready data"

Most companies are stuck between 1 and 2.

#DataQuality #DataStrategy

Data is only as valuable as its quality. Organizations investing in analytics, AI and decision intelligence need platforms that ensure data is accurate and trustworthy from the start. #DataQuality #DataGovernance

As organizations generate more information than ever, gaps are making it harder to trust the data behind decisions. Strong taxonomies and the right technology partners help turn raw information into something reliable. #DataQuality #DataGovernance

Data advisory commission reviews revised research agenda and nine draft recommendations for legislative report The commission reviewed an updated research agenda focused on workforce questions and cross-cutting analysis, discussed data gaps (retention, compensation, family childcare), and heard a proposed report structure and nine recommendations that staff will flesh out before a draft is circulated ahead of April.

The EEC commission is rethinking its research agenda to tackle urgent workforce questions, but what themes are emerging as priorities?

Click to read more!

#MA #CitizenPortal #ChildcarePolicy #DataQuality #WorkforceDevelopment

🧠 Cómo la degradación del contexto perjudica los resultados de IA y LLM empresariales

Los datos son clave para el éxito, pero su contexto se corrompe, afectando a la IA.

https://thenewstack.io/context-rot-enterprise-ai-llms/

#LLM #DataQuality #AI #RoxsRoss

The DataOps Way to Data Quality: A Free Book for Every Data Team | DataKitchen Most data quality advice tells you what to measure. This book tells you why your team keeps failing and what to actually do about it.

The DataOps Way to Data Quality: A Free Book for Every Data Team
Most data quality advice tells you what to measure. This book explains why your team keeps failing and what to do about it.
datakitchen.io/the-dataops-...
#databs #dataquality #dataops #free #opensource