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.

Data Quality 245

Data Quality Data Science 245

Dataversity

NOVEMBER 6, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Data Quality (DQ). Read last month’s column here.)

Data Quality 117

Data Quality Data Governance 117

insideBIGDATA

JUNE 6, 2023

In this contributed article, Peter Nagel, VP of Engineering at Noyo, addresses the benefits/insurance industry’s roadblocks and opportunities — and why some of the most interesting data innovations will soon be happening in benefits.

Data Quality 276

Data Quality Big Data Big Data 276

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.

Data Quality 230

Data Quality Data Engineering Data Engineer Data Engineering 230

Dataversity

OCTOBER 25, 2023

In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […] The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.

Data Quality 103

Data Quality Data Preparation Algorithm Data Silos 103

Analytics Vidhya

NOVEMBER 8, 2023

In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip.

Data Pipeline 99

Data Pipeline Data Quality Big Data Big Data 99

Analytics Vidhya

JANUARY 20, 2023

However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

Machine Learning 123

Machine Learning Machine Learning Data Quality ML 123

Pickl AI

OCTOBER 19, 2023

Data quality plays a significant role in helping organizations strategize their policies that can keep them ahead of the crowd. Hence, companies need to adopt the right strategies that can help them filter the relevant data from the unwanted ones and get accurate and precise output.

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

SAS Software

APRIL 27, 2023

Data quality: The foundation for trustworthy AI was published on SAS Voices by Reggie Townsend After a pandemic, global supply chain disruptions and resulting economic fragility, executives understandably consider adaptability, durability and how best to operate with a strength of character – all attributes that define resilience.

Data Quality 101

Data Quality AI AI 101

KDnuggets

AUGUST 18, 2022

Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

Data Quality 251

Data Quality Data Science 251

Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications.

Data Observability 52

Data Observability Data Quality Data Governance Data Pipeline 52

insideBIGDATA

MAY 28, 2023

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

Data Quality 147

Data Quality ML ML AI 147

Dataversity

AUGUST 22, 2022

They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […].

Data Quality 98

Data Quality Data Governance 98

The Data Administration Newsletter

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 […].

Data Quality 114

Data Quality 114

IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 71

Data Quality Data Profiling Data Governance Analytics 71

Dataversity

APRIL 18, 2022

Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […]. The post Data Quality Dimensions Are Crucial for AI appeared first on DATAVERSITY.

Data Quality 98

Data Quality AI AI Data Governance 98

Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

Data Quality 52

Data Quality ML ML AI 52

Dataversity

FEBRUARY 13, 2023

The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […] The post How to Assess Data Quality Readiness for Modern Data Pipelines appeared first on DATAVERSITY.

Data Pipeline 98

Data Pipeline Data Quality Data Silos Data Governance 98

Precisely

JANUARY 23, 2023

As enterprises forge ahead with a host of new data initiatives, data quality remains a top concern among C-level data executives. In its Data Integrity Trends report , Corinium found that 82% of respondents believe data quality concerns represent a barrier to their data integration projects.

Data Quality 52

Data Quality Data Governance Artificial Intelligence Artificial Intelligence 52

Flipboard

JUNE 5, 2023

True data quality simplification requires transformation of both code and data, because the two are inextricably linked. Code sprawl and data siloing both imply bad habits that should be the exception, rather than the norm.

Data Quality 97

Data Quality Data Silos Big Data Big Data 97

The Data Administration Newsletter

NOVEMBER 14, 2023

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

Data Observability 59

Data Observability Data Quality Data Governance 59

Dataversity

AUGUST 10, 2023

We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues?

Data Quality 52

Data Quality Data Engineering Data Engineer Data Engineering 52

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance ETL SQL 98

insideBIGDATA

JUNE 15, 2023

Jason Smith, Chief Technology Officer, AI & Analytics at Within3, highlights how many life science data sets contain unclean, unstructured, or highly-regulated data that reduces the effectiveness of AI models. Life science companies must first clean and harmonize their data for effective AI adoption.

Data Quality 277

Data Quality AI AI Analytics 277

Flipboard

FEBRUARY 7, 2023

Follow as we dive into the evolution of personalization, consumer sentiments around data privacy & brand communications efforts, and how data quality can enable brands to reduce CX gaps. Today’s consumers have high expectations for brands, including expectations for highly personalized experiences.

Data Quality 97

Data Quality 97

The Data Administration Newsletter

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

Data Quality 98

Data Quality Data Governance Business Intelligence Business Intelligence 98

IBM Journey to AI blog

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.

Data Quality 52

Data Quality Data Lakes Data Warehouse ETL 52

Flipboard

MARCH 13, 2023

Presented by BMC Poor data quality costs organizations an average $12.9 Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but poor data quality also increases the complexity of data ecosystems, and directly impacts the … million a year.

Data Quality 98

Data Quality Big Data Big Data Machine Learning 98

Mlearning.ai

JUNE 10, 2023

Bad Strategies for Implementing Data Quality! Continue reading on MLearning.ai »

Data Quality 52

Data Quality Data Science ML ML 52

Dataversity

JULY 3, 2023

What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values.

Data Quality 52

Data Quality Data Governance 52

Precisely

JULY 31, 2023

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity.

Data Quality 52

Data Quality Data Governance Analytics Analytics 52

Precisely

MARCH 14, 2023

Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms. eBook 4 Ways to Measure Data Quality To measure data quality and track the effectiveness of data quality improvement efforts you need data.

Data Quality 52

Data Quality Cloud Data Data Pipeline Azure 52

KDnuggets

MARCH 10, 2022

Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

Machine Learning 331

Machine Learning Machine Learning Data Quality ML 331

Dataversity

MARCH 30, 2023

These initiatives may provide companies with short-term reprieve during times of disruption, […] The post Optimizing Data Quality to Navigate Economic Turbulence appeared first on DATAVERSITY.

Data Quality 52

Data Quality Data Governance 52

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.

Data Quality 110

Data Quality Analytics Analytics Big Data 110

Precisely

JULY 27, 2023

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. Low data quality is a pervasive theme across the survey results, reducing trust in data used for decision-making and challenging organizations’ ability to achieve success in their data programs.

Data Quality 52

Data Quality Analytics Analytics Data Governance 52

Precisely

MAY 4, 2023

Read the Report TDWI Checklist Report: Succeeding with Data Observability This report discusses five best practices for using observability tools to monitor, manage, and optimize operational data pipelines. It provides strategic guidance for enterprise data leaders in defining the core metrics of data quality and pipeline health.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52