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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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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DataKitchen

AUGUST 22, 2024

Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data.

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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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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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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.

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DataKitchen

OCTOBER 19, 2021

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.

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Data Quality 246

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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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. Traditionally, AI data quality has been a challenge.”

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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. Each unit will have unique data sets with specific data quality test requirements. One of the standout features of DataOps TestGen is the power to auto-generate data tests.

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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 91

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

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Data Quality Statistics Data Lake Visualization 94

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 Sales Data Lake 89

TDAN

SEPTEMBER 18, 2024

As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality.

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Digital Transformation Data Quality Technology Data Strategy 52

KDnuggets

NOVEMBER 16, 2023

Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

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Data Quality Data Science 96

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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AWS Big Data

JUNE 6, 2023

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

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Data Quality Metrics Data-driven Visualization 74

Dataiku

JULY 11, 2024

According to a survey from Dataiku, the number one barrier to getting more ROI from AI is the lack of data quality or the ability to access the right data. So how can data teams make sure that the data used to build ML models and analytics projects is trusted, validated, and accurate?

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ScienceSoft

JULY 8, 2024

Setting up data quality management seems to be a blurry task? These best practices will help you improve the quality of your data and, ultimately, your decisions. We show what a well-organized process looks like and enumerate the required tools.

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TDAN

MARCH 6, 2024

Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a data quality program resides in the ability to take action to improve data to make it more correct and therefore more valuable.

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Data Quality Metrics Measurement IT 52

TDAN

MAY 4, 2022

Getting to great data quality need not be a blood sport! This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

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KDnuggets

JANUARY 12, 2023

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

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Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

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Data Quality Analytics Machine Learning Visualization 64

KDnuggets

JANUARY 17, 2022

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

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Dataiku

MARCH 19, 2024

Its ability to create synthetic data promises exciting possibilities for data augmentation and improved model performance. But for data scientists working with private company data , a question remains: Does Generative AI render traditional data quality practices obsolete?

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Corinium

JANUARY 21, 2020

We are pleased to be working with our media partner, IQ International on our Chief Data & Analytics Officer Brisbane event, where they will be sharing some of their work in developing best practice data quality metrics for every industry. We will be joined by Dan Myers (USA), President at IQ International.

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Corinium

JANUARY 13, 2020

In the last decade regulatory requirements in financial services increased significantly.

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Dataiku

JUNE 7, 2024

Earlier this month, Kurt Muehmel was joined by guest speaker Michele Goetz from Forrester to discuss the topic of data quality in the age of Generative AI. If you want to catch the replay, you can find it here (or jump to the full video below), but we’ll also give a TL;DR recap of the big takeaways:

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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.

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KDnuggets

OCTOBER 6, 2022

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

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Data Quality 77