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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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

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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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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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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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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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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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 89

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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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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Data Quality Enterprise Metadata Data Strategy 114

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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Data Quality IT 120

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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Data Quality Data Science 139

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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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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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 76

Corinium

JANUARY 13, 2020

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

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KDnuggets

NOVEMBER 22, 2022

Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them.

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Data Quality Data Science 107

TDAN

MARCH 15, 2022

1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […]. We know the phrase, “Beauty is in the eye of the beholder.”1

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Dataiku

AUGUST 15, 2023

Let's face the reality: Data quality , despite its paramount importance, is often unloved and undervalued in many organizations. It is seen as excessively technical, demands a great deal of tedious effort and time to manage and, ultimately, leads to a lack of enthusiasm for taking up this crucial responsibility.

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AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

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Dataiku

APRIL 19, 2021

In a recent Egg On Air Episode , Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, outlined the significance of data quality to an organization’s success and offered some insight on how Morgan Stanley approaches data quality.

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IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Smart Data Collective

APRIL 20, 2022

Companies with an in-depth understanding of data analytics will have more successful Amazon PPC marketing strategies. However, it is important to make sure the data is reliable. However, data quality is again going to be very important. You must make sure the right sales page versions are stored in your database.

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KDnuggets

MARCH 23, 2023

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

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Data Quality Measurement IT 95

Ontotext

NOVEMBER 16, 2023

In the first part of this series of technological posts, we talked about what SHACL is and how you can set up validation for your data. Tacking the data quality issue — bit by bit or incrementally There are two main approaches to validating your data, which would be dependent on the specific implementation.

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TDAN

MAY 1, 2024

If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022.

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Corinium

FEBRUARY 3, 2020

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry.

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AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

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TDAN

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Obviously, we’re a […].

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