Marketing automation is a game-changer for tech businesses. It automates repetitive tasks, improves customer engagement, and drives growth. This “Marketing Automation for Tech Businesses: A Beginner’s Guide” will explain what marketing automation is, why it’s essential for tech companies, and how to get started with it effectively. Understanding Marketing Automation for Tech Businesses Marketing automation […] The post Master Marketing Automation for Tech Businesses: A Beginner’s ...| Flowster
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
Transform data engineering from a high-stress, "hero saves the day" kind of job into something systematic and predictable that actually scales as your team and business grow. Stop babysitting pipelines: SQL & ELT the FITT Way. The post FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures first appeared on DataKitchen.| DataKitchen
Data compliance is all about adhering to laws, regulations, standards, and internal policies regarding data use. Organizations must comply with regulations like the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), the California Consumer Privacy Act (CCPA) and SOC2 standards to protect sensitive information and maintain trust. Data compliance plays […] The post How lakeFS Helps Ensure Data Compliance appeared first on Git for Data -...| Git for Data – lakeFS
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
For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations. The post Data Quality Test Coverage In a Medallion Data Architecture first appeared on DataKitchen.| DataKitchen
💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn't involved, and no one agrees on what data truly matters. That's where Critical Data Elements (CDEs) change everything. The post Critical Data Elements: Your Shortcut to Data Governance That Actually Works first appeared on DataKitchen.| DataKitchen
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...
Macroeconomic headwinds and policy turbulence have put companies in wait-and-see mode. Stubborn inflation, unpredictable trade policies, and the highest interest rates in decades have made forecasting extraordinarily difficult. Many executives describe the environment as unpredictable, and it shows: investments are delayed, spending is scrutinized, and guidance is hedged with caution. Even companies riding strong demand […]| The rising imperative for data observability: how to build trust in your data...
Synthetic data – algorithmically generated data that mimics real-world data – has emerged as a cornerstone in modern AI workflows. But its promise comes with persistent myths about its capabilities, limitations and reliability. Synthetic data is being explored across industries, from training machine learning models to helping businesses safeguard customer [...] 5 myths about synthetic data – and what’s actually true was published on SAS Voices by Caslee Sims| SAS Voices
The future is already here and somehow, it keeps accelerating. Small to midsize businesses (SMBs), in particular, are feeling all the effects of this in real time. From shifting customer demands to tightening budgets and fiercer competition, SMBs are navigating more change than ever. Technology can be a powerful growth [...] Enterprise tech trends SMBs can’t afford to ignore was published on SAS Voices by Andrew Lockhart| SAS Voices
Every AI success story starts with a single decision: to move beyond experimentation and commit to real-world impact. But moving from idea to enterprise-scale deployment isn’t just about algorithms – it’s about laying the right groundwork. In the first part of this series, we explored three ways to lay the [...] Starting your AI journey: From data to deployment was published on SAS Voices by Manisha Khanna| SAS Voices
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
Most data architectures are designed to maximize data vendor revenues, not data team productivity. Let us show you how a functional, idempotent, tested and two stage data architecure is the greatest. The post We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back first appeared on DataKitchen.| DataKitchen
In an exciting webinar, we talk about the importnace of having test coverage across all your tables and tools The post Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering first appeared on DataKitchen.| DataKitchen
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers| DataKitchen
Your organization's data quality transformation is waiting for someone to take the first step. The open source tools are available, the methodologies are proven, and the need is obvious. . The revolution starts with you. What are you waiting for? The post The Data Quality Revolution Starts with You first appeared on DataKitchen.| DataKitchen
Timing is EVERYTHING. How Latency Issues Spawn Data Quality Problems The post When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares first appeared on DataKitchen.| DataKitchen
In an exciting webinar, we discuss the six major types of Data Quality Dashboards The post Webinar: A Guide to the Six Types of Data Quality Dashboards first appeared on DataKitchen.| DataKitchen
Data quality is not a problem any single role can solve in isolation. The complexity and scale of modern data ecosystems necessitate a collaborative approach, where quality testing serves as a shared infrastructure across all data and analytics roles. The post Data Quality Testing: A Shared Resource for Modern Data Teams first appeared on DataKitchen.| DataKitchen
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
In a bustling digital economy, data fuels business innovation, decision-making, and competitive advantage. Yet amidst the vast streams of data collected daily, duplicate records silently inflate quality risks, distort analytics, and escalate operational inefficiencies. To maintain robust data health and reliable insights, organizations require scalable solutions to accurately identify and address duplicates. Enter data fingerprinting—the […]| Dev3lop
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
How are we currently measuring error rates and can we imporve data quality?| Effortmark
Join us for the first of three videos, wrapping up our series on data in a cookieless future.| eFocus Marketing
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
