DataKitchen

APRIL 24, 2025

White Paper: A New, More Effective Approach To Data Quality Assessments Data quality leaders must rethink their role. They are neither compliance officers nor gatekeepers of platonic data ideals. In this new approach, the data quality assessment becomes a tool of persuasion and influence.

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Data Quality Metrics IT 100

DataKitchen

APRIL 18, 2025

Welcome to the Data Quality Coffee Series with Uncle Chip Pull up a chair, pour yourself a fresh cup, and get ready to talk shopbecause its time for Data Quality Coffee with Uncle Chip. This video series is where decades of data experience meet real-world challenges, a dash of humor, and zero fluff.

Data Quality 100

Data Quality Dashboards Testing IT 100

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Data Quality Metrics Data-driven Management 241

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC).

Scorecard 177

Scorecard Data Quality Measurement Testing 177

DataKitchen

APRIL 18, 2025

Welcome to the Data Quality Coffee Series with Uncle Chip Pull up a chair, pour yourself a fresh cup, and get ready to talk shopbecause its time for Data Quality Coffee with Uncle Chip. This video series is where decades of data experience meet real-world challenges, a dash of humor, and zero fluff.

Data Quality 130

Data Quality Dashboards Testing IT 130

CIO Business Intelligence

NOVEMBER 13, 2024

JP Morgan Chase president Daniel Pinto says the bank expects to see up to $2 billion in value from its AI use cases, up from a $1.5 billion estimate in May. And speaking at the Barclays Global Financial Services conference in September, he said gen AI will have a big impact in improving processes and efficiencies. It gets beyond what we can manage.”

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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Enterprise Data Quality Structured Data Modeling 141

DataKitchen

MARCH 20, 2025

We’ve identified two distinct types of data teams: process-centric and data-centric. Understanding this framework offers valuable insights into team efficiency, operational excellence, and data quality. Process-centric data teams focus their energies predominantly on orchestrating and automating workflows.

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Data Quality Testing Metrics Management 161

CIO Business Intelligence

APRIL 8, 2025

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

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Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

FEBRUARY 26, 2025

Intuit itself currently handles 95 petabytes of data, generates 60 billion ML predictions a day, tracks 60,000 tax and financial attributes per consumer (and 580,000 per business customer), and processes 12 million AI-assisted interactions per month, which are available for 30 million consumers and a million SMEs.

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IT Enterprise Interactive Data Quality 141

Anmut

JANUARY 30, 2025

Originally applied to manufacturing, this principle holds profound relevance in today’s data-driven world. The idea is simple yet powerful – investing in quality upfront provides a significant saving because it eliminates the need to fix problems after they occur. How about data quality?

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Data Quality Cost-Benefit Statistics Data-driven 52

DataKitchen

DECEMBER 9, 2024

data engineers delivered over 100 lines of code and 1.5 data quality tests every day to support a cast of analysts and customers. This cloud resource setup ensured the team could easily spin up environments, process large volumes of data, and adjust configurations quickly.

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Data Quality Data Lake Testing Statistics 161

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelligence (AI).  With the aim of rectifying that situation, Bigeye’s founders set out to build a business around data observability.

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Data Quality Dashboards Data-driven Software 130

DataKitchen

AUGUST 6, 2024

DataKitchen’s Data Quality TestGen found 18 potential data quality issues in a few minutes (including install time) on data.boston.gov building permit data! Imagine a free tool that you can point at any dataset and find actionable data quality issues immediately!

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Data Quality Testing Cost-Benefit Software 124

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

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IT Statistics KPI Data-driven 317

CIO Business Intelligence

OCTOBER 31, 2024

BPM as a driver of IT success Making a significant contribution to Norma’s digital transformation, a BPM team was initiated in 2020 and its managers support all business areas to improve and harmonize the understanding of applications and processes, as well as data quality. It all starts with a sense of presence, both remote and local.

IT 89

IT Digital Transformation Machine Learning Data Quality 89

AWS Big Data

AUGUST 8, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules commonly assess the data based on fixed criteria reflecting the current business state. In this post, we demonstrate how this feature works with an example.

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Data Quality Statistics Visualization Metrics 113

DataKitchen

JUNE 21, 2024

Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It’s that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. You’ve got yourself a recipe for data disaster.

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Data Quality Measurement Metrics Data Collection 130

Smart Data Collective

SEPTEMBER 29, 2022

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. Data strategies are becoming more dependent on new technology that is arising.

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Data-driven Data Quality Optimization Insurance 145

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

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Data Quality Visualization Metadata Metrics 104

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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Data Quality Testing Manufacturing Finance 130

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount.

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Data Quality Interactive Dashboards Testing 124

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture.

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Sales Metrics Data-driven Unstructured Data 143

AWS Big Data

AUGUST 15, 2024

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

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Data Quality Visualization Metadata Key Performance Indicator 107

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

MARCH 13, 2024

But hearing those voices, and how to effectively respond, is dictated by the quality of data available, and understanding how to properly utilize it. “We We know in financial services and in a lot of verticals, we have a whole slew of data quality challenges,” he says. “We And related to that is data quality.

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Data Quality Digital Transformation Enterprise Marketing 105

CIO Business Intelligence

DECEMBER 11, 2024

In fact, a data framework is critical first step for AI success. There is, however, another barrier standing in the way of their ambitions: data readiness. If youre not keeping up the fundamentals of data and data management, your ability to adopt AIat whatever stage you are at in your AI journeywill be impacted, Kulkarni points out.

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Risk Data Strategy Strategy Data Governance 111

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time. Poor data results in poor judgments. Running unit tests in data science and data engineering projects assures data quality. You know your code does what you want it to do.

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Testing Data Quality Data-driven Data Science 342

CIO Business Intelligence

NOVEMBER 4, 2024

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Data security, data quality, and data governance still raise warning bells Data security remains a top concern. Nutanix commissioned U.K.

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Marketing Data Quality Data Governance Digital Transformation 128

AWS Big Data

MAY 23, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. We are excited to talk about how to use dynamic rules , a new capability of AWS Glue Data Quality.

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Data Quality Metrics Data Lake Sales 101

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

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Data Quality Measurement Testing Visualization 104

Analytics Vidhya

MARCH 13, 2024

Introduction Whether you’re a fresher or an experienced professional in the Data industry, did you know that ML models can experience up to a 20% performance drop in their first year? Monitoring these models is crucial, yet it poses challenges such as data changes, concept alterations, and data quality issues.

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Data Quality Modeling Analytics IT 319

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. Its code generation architecture uses a visual interface to create Java or SQL code.

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Management Data Warehouse Data Quality Data Integration 324