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.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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.

Management 324

Management Data Warehouse Data Quality Data Integration 324

DataKitchen

MAY 14, 2024

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. Slides and recordings will be provided.

Data Quality 195

Data Quality Testing Metrics Measurement 195

David Menninger's Analyst Perspectives

JUNE 12, 2019

Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 270

Management Data Quality Data Integration Data Lake 270

DataKitchen

MARCH 20, 2025

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. Their data tables become dependable by-products of meticulously crafted and managed workflows.

Data Quality 161

Data Quality Testing Metrics Management 161

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

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

Management 314

Management Machine Learning Metrics Modeling 314

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. The company focused on delivering small increments of customer value data sets, reports, and other items as their guiding principle. Get the Data Securing data was another critical phase.

Data Quality 161

Data Quality Data Lake Testing Statistics 161

CIO Business Intelligence

DECEMBER 12, 2024

The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems. Thats where the friction arises.

IT 134

IT Data Quality Experimentation Machine Learning 134

Corinium

FEBRUARY 3, 2020

From telematics data in car insurance to geospatial data in the property sector and beyond – accurate and timely data empowers insurance companies to effectively assess and manage their portfolios of risks.

Insurance 221

Insurance Data Quality Risk Management 221

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

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.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

Anmut

JANUARY 30, 2025

They made us realise that building systems, processes and procedures to ensure quality is built in at the outset is far more cost effective than correcting mistakes once made. How about data quality? Redman and David Sammon, propose an interesting (and simple) exercise to measure data quality.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

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.

Data Quality 117

Data Quality Visualization Metadata Metrics 117

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Model risk management. autonomous vehicles, smart buildings, and smart cities) will need to manage risks in the aggregate.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

DataKitchen

JANUARY 4, 2023

Why do 78% of data engineers wish their job came with a therapist to help manage work-related stress? The post ON-DEMAND WEBINAR: Managing Stress in Data Engineering: Data Quality and Testing Techniques for Data Observability first appeared on DataKitchen. THEY DO NOT TEST.

Data Quality 130

Data Quality Testing Management 130

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.  With the aim of rectifying that situation, Bigeye’s founders set out to build a business around data observability.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

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.

Data Quality 116

Data Quality Statistics Visualization Metrics 116

Cloudera

NOVEMBER 13, 2024

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards.

Metadata 90

Metadata Management Data Governance Data-driven 90

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.

Data Quality 130

Data Quality Measurement Metrics Data Collection 130

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Strong data strategies de-risk AI adoption, removing barriers to performance.

Risk 111

Risk Data Strategy Strategy Data Governance 111

Smart Data Collective

SEPTEMBER 29, 2022

Automated data capture improves your document management and processing. Delegating the management and processing of your documents to an OCR solution is to be sure to process them faster and more accurately. The post Data-Driven Companies Leverage OCR for Optimal Data Quality appeared first on SmartData Collective.

Data-driven 145

Data-driven Data Quality Optimization Insurance 145

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.

Data Quality 117

Data Quality Metrics Data Lake Sales 117

CIO Business Intelligence

NOVEMBER 18, 2024

If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

CIO Business Intelligence

DECEMBER 10, 2024

Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. When considering the breadth of martech available today, data is key to modern marketing, says Michelle Suzuki, CMO of Glassbox.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

OCTOBER 30, 2024

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. But adoption isn’t always straightforward. Before we go further, let’s quickly define what we mean by each of these terms.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

TDAN

DECEMBER 4, 2024

We have lots of data conferences here. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Over the years, I’ve seen a trend — more and more emphasis on AI. This is my version of […]

Unstructured Data 52

Unstructured Data Data Quality Data Architecture Modeling 52

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.

Data Quality 115

Data Quality Measurement Testing Visualization 115

CIO Business Intelligence

MARCH 13, 2024

OneFamily is a financial services organization, operating broadly in savings and investments, and responsible for £8 billion of assets under management. 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

Data Quality 105

Data Quality Digital Transformation Enterprise Marketing 105

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 123

Risk Cost-Benefit Data-driven Digital Transformation 123

AWS Big Data

OCTOBER 9, 2024

Some customers build custom in-house data parity frameworks to validate data during migration. Others use open source data quality products for data parity use cases. This takes away important person hours from the actual migration effort into building and maintaining a data parity framework.

Data Quality 111

Data Quality Data Lake Data Warehouse Metrics 111

AWS Big Data

DECEMBER 4, 2024

Ask questions in plain English to find the right datasets, automatically generate SQL queries, or create data pipelines without writing code. Data teams struggle to find a unified approach that enables effortless discovery, understanding, and assurance of data quality and security across various sources.

Data Analytics 101

Data Analytics Analytics Data Lake Data Quality 101

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . OwlDQ — Predictive data quality.

Testing 300

Testing Machine Learning Consulting Data Science 300