IBM Big Data Hub

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. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

DECEMBER 4, 2024

Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics tools with their data. Introducing the next generation of SageMaker The rise of generative AI is changing how data and AI teams work together.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

AWS Big Data

MAY 23, 2024

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. We also show how to take action based on the data quality results.

Data Quality 100

Data Quality Metrics Data Lake Sales 100

CIO Business Intelligence

FEBRUARY 26, 2025

And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Having clean and quality data is the most important part of the job, says Kotovets.

IT 141

IT Enterprise Interactive Data Quality 141

DataKitchen

MAY 10, 2021

No, it could be the effect of an intentional change upstream, but the test gives the data team a chance to investigate and inform users if a change impacts analytics. Tests and alerts enable proactive communication with users that builds data team credibility. It’s not about data quality . It’s not only about the data.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? A data profiling tool can help you by automating some of the grunt work needed to begin your analysis. You, Data-Dude, takin’ on the defects. Data Cleansing.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

AWS Big Data

JANUARY 15, 2025

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Wayne Yaddow

MARCH 3, 2025

When implementing automated validation, AI-driven regression testing, real-time canary pipelines, synthetic data generation, freshness enforcement, KPI tracking, and CI/CD automation, organizations can shift from reactive data observability to proactive data quality assurance.

Data Quality 52

Data Quality Strategy ROI Testing 52

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

Data Quality 63

Data Quality Data Governance People Analytics Data-driven 63

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? Data lineage offers proof that the data provided is reflected accurately.

Data Governance 111

Data Governance Metadata Key Performance Indicator Data Quality 111

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. It’s time to automate data management. How to Automate Data Management.

Management 144

Management Data Governance Cost-Benefit Metadata 144

Smart Data Collective

SEPTEMBER 21, 2021

In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. According to Forrester’s reports, the rate of insight-driven businesses is growing at an average of 30% per year. It is rather a permanent and flexible solution to manage data under a single environment.

Management 131

Management Internet of Things Data Quality Data Integration 131

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. Access the full report here.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

O'Reilly on Data

DECEMBER 19, 2018

Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased? This isn’t surprising; if you’re collecting data from several weather stations and one of them malfunctions, you would expect to see anomalous data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

NOVEMBER 7, 2023

But what exactly is involved in breaking down data silos? Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Smart Data Collective

JULY 9, 2023

Load After the data has been transformed, it needs to be loaded into a target system for further analysis. This target system is typically a data warehouse or a dedicated database optimised for reporting and analytics. Improved Data Quality Data quality is paramount when it comes to making accurate business decisions.

Data Quality 105

Data Quality Data Warehouse Data-driven Reporting 105

Ontotext

NOVEMBER 23, 2023

If there are any inconsistencies, the shapes will be rejected and you will receive a violation report. Data engineers think about “shapes” and “data” separately and treating shapes as data is an implementation detail. The next step is to get out there and challenge your data quality dragons.

Data Quality 69

Data Quality Reporting Metadata IT 69

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. 1 reason to implement data governance. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

DataKitchen

MAY 10, 2024

The Third of Five Use Cases in Data Observability Data Evaluation: This involves evaluating and cleansing new datasets before being added to production. This process is critical as it ensures data quality from the onset. Examples include regular loading of CRM data and anomaly detection.

Metrics 124

Metrics Testing Data Quality Dashboards 124

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

BizAcuity

NOVEMBER 13, 2024

Making decisions based on data, rather than intuition alone, brings benefits such as increased accuracy, reduced risks, and deeper customer insights. Data-driven organizations report greater efficiency and better customer satisfaction as they can act on real-time insights rather than retrospective analysis.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. The enterprise data management vendor reported a total revenue of $1.5 billion in 2022.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

erwin

FEBRUARY 19, 2021

It involves establishing policies and processes to ensure information can be integrated, accessed, shared, linked, analyzed and maintained across an organization. Better data quality. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. DataOps recommends that tests monitor data continuously in addition to checks performed when pipelines are run on demand.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. Today, data needs to fuel rapid decisions that make an organization more effective, customer-centric and competitive. Additionally, 85% monitor their databases and other data systems as part of their data governance programs.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? This means that they can be ideal for data cleansing and maintenance. What Does a Data Catalog Consist Of?

Metadata 133

Metadata IT Data-driven Data Quality 133

erwin

FEBRUARY 4, 2021

So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks. The report revealed that all but two of the possible bottlenecks were marked by more than 50 percent of respondents. Overcoming Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

CIO Business Intelligence

JANUARY 24, 2024

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. Athena exposes the content of the reporting zone for consumption.

Optimization 95

Optimization B2B Data Quality Sales 95

CIO Business Intelligence

JANUARY 9, 2024

The October 2023 CEO Outlook Pulse from professional services firm EY reported that 99% of chief executives were planning to invest in generative AI. That’s the question many CIOs are asking, as some report they are now the ones raising points about business needs and business value whenever there’s a demand for an AI solution.

IT 140

IT Risk Cost-Benefit Machine Learning 140

BI-Survey

FEBRUARY 17, 2020

While compliance is the major driver for data governance, it bears the risk of reducing it to a very restrictive procedure. Data quality is the top challenge when it comes to using data, closely followed by organizational issues. Inadequate data quality remains the foremost challenge users face when using data.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Smart Data Collective

OCTOBER 13, 2021

Multi-channel publishing of data services. Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145