Inriver delivers significant new capabilities to customers and partners through an enhanced workflow engine with integrated AI agents for process automation, smarter content onboarding for higher data quality, contextual AI co-pilot, flexible syndication and CDN enabled digital catalogs. Inriver announced major advances for its Product Information Management (PIM) platform, introducing new and enhanced capabilities designed […]| MarTech Series
Revenue automation doesn’t start with AI. It starts with the data foundation that makes AI (and your entire stack) work.| Leadspace
Learn what data observability is, why it matters, and how you can use it to build trust in your data systems. A beginner-friendly introduction. The post What is Data Observability? A Beginner’s Guide to Data Reliability appeared first on Data8.| Data8
As we step into 2025, the importance of data quality has never been more apparent. Data drives decision-making, fuels innovation, and underpins the digital transformation of a business. The post Setting Data Quality Goals for 2025: A 5 Step Framework appeared first on Data8.| Data8
The former Google Chief Decision Scientist, Cassie Kozyrkov, will headline, joined by leaders from Deloitte, M&T Bank, Snowflake, Thermo Fisher, and Tiger Analytics, to explore the future of agentic data systems Boston, Mass. – Sept 17, 2025 – Ataccama, the data trust company, today announced that registration is now open for FWRD 2025, its flagship […]| Ataccama opens registration for FWRD 2025, the virtual event for data leaders...
Recientemente, el concepto "observabilidad de datos" está ganando relevancia en el ámbito de la analítica y la gestión de la información. En un entorno donde las empresas dependen cada vez más de sus datos para tomar decisiones estratégicas, garantizar que estos sean fiables, oportunos y consistentes es una necesidad crítica. Cuando un dashboard muestra cifras incorrectas, un proceso ETL falla o un modelo de machine learning se entrena con información desactualizada, las consecuencia...| Blog Bismart
Investing in data validation is therefore crucial for making informed decisions, improving efficiency, building trust, and complying with regulations.| Semarchy
In 2025, I’m focusing on error rates and data quality. My plan is to update this post through the year. Outcome of the work so far: How to think about errors in services Most recent update, 11 August 2025: addedContinue reading... Error rates and data quality – my 2025 topic The post Error rates and data quality – my 2025 topic appeared first on Effortmark.| Effortmark
It was a great pleasure to run an in-person workshop on error rates and data quality at the Agile Manchester conference in May 2025. People at the conference work for a wide variety of organisations and do quite a varietyContinue reading... Error rates and data quality at Agile Manchester 2025 The post Error rates and data quality at Agile Manchester 2025 appeared first on Effortmark.| Effortmark
Data silos can be detrimental to your organization’s success. Read this guide to learn how you can break data silos down and drive enhanced performance.| Deep Sync
Dynamic data is less a “dataset” and more a customer operating system – the infrastructure that powers every decision your GTM teams make.| Leadspace
The Challenge A radiopharmaceutical imaging company faced challenges in monitoring patient statistics and clinical trial logistics. A lack of visibility and awareness into this data hindered conversations with leadership regarding the status of active clinical trials, ultimately putting clinical trial … Continue reading The post Data Quality and Architecture Enrichment for Insights Visualization appeared first on Enterprise Knowledge.| Enterprise Knowledge
Learn how Master Data Management boosts data quality, agility, and visibility to build resilient and cost-efficient supply chains.| Datafloq
Understand the need for data cleaning, common issues, tools, and trends. Learn how to clean data to improve accuracy, analytics, and business success.| www.expressanalytics.com
AI in data cleaning offers an added advantage in adaptability, automation, consistency, and reliability. Contact us to clean your raw data.| www.expressanalytics.com
Explore AI's Achilles' Heel: The Data Quality Dilemma and how nontraditional data presents unique quality challenges.| Datafloq
Organizations average 42/100 on data trust maturity, with the lowest scores in remediation and quality, as AI and regulatory demands expose weaknesses that slower-moving environments once masked Boston, Mass. – August 27, 2025 – Ataccama, the data trust company, shared early findings from its Data Trust Assessment, a benchmark of the trustworthiness of enterprise data […]| Fueling AI success with trusted data | Ataccama
A global bank launches a cutting-edge AI personalization program, only to watch it fail because of duplicate and incomplete customer data. This isn’t a far-fetched nightmare; it’s a real scenario that shows how fragile trust in data has become. 68% of Chief Data Officers (CDOs) rank poor data quality as their top concern. Over half […]| Fueling AI success with trusted data | Ataccama
ATLANTA — July 31, 2025 — HatchWorks AI today announced the availability of Data QA with Data Contracts and SQL on the Databricks Marketplace, giving data, analytics, and AI teams a simpler way to govern, validate, and trust data across the Lakehouse. Built on the Open Data Contract Standard (ODCS) and natively integrated with Databricks, […] The post Hatchworks AI Launches Data Contracts Accelerator On Databricks Marketplace appeared first on HatchWorks AI.| HatchWorks AI
SQL & Orchestration Techniques For Functional, Idempotent, Tested, Two-Stage Data Architectures| DataKitchen
Adastra Business Consulting resells and implements Ataccama in Latin America, bringing high-quality, trusted data to more enterprise organizations as investment in AI and analytics accelerates| Ataccama
Caroline leads a workshop on error rates and data quality and shares comments and tips from attendees at UX Connect| Effortmark
Join Ataccama, Snowflake & Fifth Third Bank to explore how data quality drives AI success and unlocks business value in this interactive 60-minute webinar.| www.ataccama.com
If your CRM data isn’t ready, your AI efforts will fail before they start. The good news is that you don’t need to overhaul your tech stack.| Leadspace
Germany’s largest dairy cooperative is cultivating a culture of data governance—with Ataccama as a key ingredient. With €5.5 billion in turnover and operations across more than 55 nations, DMK Group is one of Europe’s largest dairy companies. But scale brings complexity—especially when data quality isn’t keeping up. To prepare for the future and empower their […]| The rising imperative for data observability: how to build trust in your data...
Learn the key differences between data strategy vs data governance, why both matter, and how to align them for better business outcomes.| HatchWorks AI
Learn key data governance responsibilities, roles, and initiatives with this 2025 guide. Simplify compliance, improve data quality, and drive business success.| HatchWorks AI
Discover the top data governance goals to improve data quality, compliance, and usability. Achieve business success with clear, actionable objectives.| HatchWorks AI
Learn the key components of data governance to improve data quality, security, and compliance with this simple, actionable guide.| HatchWorks AI
Master data governance made simple. Learn how to manage complex data, improve quality, and streamline processes for your business success.| HatchWorks AI
Learn the key differences between data governance vs data management, how they align, and best practices to improve your data strategy.| HatchWorks AI
AI is transforming how B2B go-to-market (GTM) teams work – from predictive lead scoring and personalized outreach to dynamic territory planning and intelligent routing. It’s no longer a futuristic concept; AI is here, and it’s promising to make GTM teams faster, smarter, and more efficient. But there’s one giant catch… Before you plug in AI […] The post Is Your GTM Team Ready For AI? appeared first on Leadspace.| Leadspace
When B2B teams buy data from multiple vendors, they’re often buying more problems than solutions. Each source delivers disparate, disconnected data – fragmented across systems, inconsistent in format, and difficult to trust. Before any of it can be operationalized, it must first be unified, enriched, and synchronized across your tech stack. And that’s where the […] The post Disconnected Data Driving Your GTM? Here’s What It’s Costing You. appeared first on Leadspace.| Leadspace
TL;DR: Functional, Idempotent, Tested, Two-stage (FITT) data architecture has saved our sanity—no more 3 AM pipeline debugging sessions.| DataKitchen
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers| DataKitchen
This project explores how OpenStreetMap data can complement satellite imagery for tracking land cover changes in Germany. Using a small test area, we compare datasets over time to better understand how real-world changes are reflected in OSM—and how this knowledge can support automated monitoring.| HeiGIT
An Intelly Brain Candy Update When we last covered SnapLogic, the discussion was all about their easy to use integration platform. When we spoke with [...]| intellyx.com
Discover practical best practices for data governance to improve compliance, streamline processes, and unlock the full value of your data.| HatchWorks AI
As sales and marketing leaders seek to maximize efficiency and ROI, AI scoring models have become a game-changer in identifying, ranking, and prioritizing opportunities across the Total Addressable Market (TAM). But there’s a critical caveat: your AI is only as good as the data it’s fed.| Leadspace
Build strong processes for identity resolution, lead-to-account matching, enrichment, and signal capture. Then layer on AI with confidence. When your data is clean, complete, and connected—AI doesn’t just work. It wins.| Leadspace
Learn more about what data quality rules are, why they're important and how to use them to improve data quality at your organization.| Enterprise Master Data Management • Profisee
The Ministry of Justice (MoJ) launched its Data Strategy in August 2022 and since then we’ve been making progress against the goals we set out. We’re also looking to the future - planning our roadmap for the next three years …| Data in government
Our analytics team plays a vital role in maintaining high-quality data that drives everything from key reports to experiments aimed at improving our products. Ensuring data reliability is critical, and to achieve this, we’ve built a robust SQL testing library for Athena. A strong data foundation isn’t just about accuracy—it’s about reliability. That’s why testing... Read more| Engineering Blog - Wealthfront
Learn what you need to include and address when planning a data quality management strategy for your organization.| The Quest Blog
View and download our Q2 2024 list of certified partners. This includes those that are currently publicly certified for Neutronian's Data Quality Certification, Cookieless Certification and the bundled IAB TechLab Data Transparency Standard Compliance. The post Neutronian Certified Partners – Q2 2024 appeared first on Neutronian.| Neutronian
In this insightful follow-up to her talk at AdMonsters PubForum Scottsdale, Hélène Parker unpacks common misconceptions about curated deals.| AdMonsters
Adform's Elena Turtureanu digs into how the DSA is shaping a more accountable digital ecosystem through key compliance requirements.| AdMonsters
Data on mobility behavior can yield valuable insights that are beneficial for various applications such as public policy, emergency response, and urban planning. As the availability of freely-accessible mobility data is limited, the attention to X (formerly known as Twitter) as a data source has increased. Users of the platform can tag their online posts with geocoordinates. This data is openly accessible via the API, enabling researchers to deduce human mobility patterns from these informati...| GIScience Blog
Generative AI is rapidly transforming the data landscape, making it more important than ever to understand how to leverage this advanced technology into your organization. That’s why we created thi…| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Deliverability experts explore data quality, what you should look for and consider as a sender, and the impact on deliverability and performance| Kickbox Blog
Discover the profound impact of poor data quality on business success and learn essential strategies to transform data reliability.| WinPure
Learn why your business needs a data quality framework & how to build one, step-by-step. Ensure accurate, reliable data for better decisions.| WinPure
40% of all business initiatives fail to achieve their targeted benefits as a result of poor data quality, yet few are investing in measuring their data quality.| Show Me The Data
Tom Breur 7 July 2023 Descriptive statistics is about collecting, organizing, summarizing, and presenting data (Bluman, 2018). I am constantly surprised how few people…| Data, Analytics and beyond
Tom Breur 26 April 2023 Missing data are an unavoidable fact of life – and an inconvenient one at that for data scientists. Sometimes data are “missing” because there is no value expected, these da…| Data, Analytics and beyond
Tom Breur 24 May 2020 BF Skinner (1904-1990) was an influential psychologist, best known for his experiments on animals, like pigeons in a cage (called “Skinner Box”) pecking a lever to collect rew…| Data, Analytics and beyond
Tom Breur 31 August 2019 The job market is “hot”, and data science skills are in high demand. Yet many junior data scientists are struggling to get ahead. How can that be? Is it because ever…| Data, Analytics and beyond