Jim Harris

MARCH 5, 2022

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Podcast Episodes on Data Governance. I have been enjoying listening to many of the old episodes since I was happy to hear how evergreen they are, meaning their content is still applicable today.

Data Governance 52

Data Governance Data Quality Data Processing Publishing 52

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 311

Data Quality Metadata Data Governance Publishing 311

Ontotext

FEBRUARY 12, 2024

Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

MARCH 30, 2020

To marry the epidemiological data to the population data it will require a tremendous amount of data intelligence about the: Source of the data; Currency of the data; Quality of the data; and. Unraveling Data Complexities with Metadata Management. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 84

Data Lake Data Governance Data Architecture Data Warehouse 84

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Conformed Data (Conformed Dimension).

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. Creating a clear process with documented steps will help.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? This is the focus of my latest research which published in Jan 2019. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance. I ended up writing two documents on data governance.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

IBM Big Data Hub

JANUARY 8, 2024

 It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors. Governing an event-driven expansion Many organizations reach a point where use of events is expanding rapidly.

Data-driven 74

Data-driven Management Advertising Enterprise 74

Andrew White

DECEMBER 4, 2019

If I am moved to write research about a vendor, I’ll write it and publish it behind our pay wall, in the assumption the advice is valuable. If you read my blog regularly then you know I rarely write about IT vendors. Single source of truth has been possible for many years – Salesforce is not the only vendor that can support this.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

CIO Business Intelligence

JANUARY 4, 2023

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% They are looking for data quality and accuracy to measure carbon footprint, supply chain optimization, and green revenue in real time.”

IT 131

IT Internet of Things Reporting Cost-Benefit 131

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. Eventually, they will be able to govern spreadsheets directly from the Data Governance App.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. DataOps is critically dependent on robust governance and cataloging capabilities.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

CIO Business Intelligence

MARCH 29, 2022

And the problem is not just a matter of too many copies of data. Approximately duplicated data sets may introduce uncertainty about data quality. Near duplicates immediately raise the question of which is authoritative and why there are differences, and that leads to mistrust about data quality. .

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

NOVEMBER 2, 2023

They’re looking to apply the technology via chatbots and virtual assistants (56%), content generation (55%), industry-specific applications (48%), data augmentation (46%), and personalized recommendations (39%). Foundry is the publisher of CIO.com. Data Governance, Data Management, Generative AI

Data Strategy 137

Data Strategy Strategy Sales Data Governance 137

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Cost-Benefit 81

Cost-Benefit Data-driven Risk Data Governance 81

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? What’s a data mesh?

Management 80

Management Metadata Data Architecture Data Lake 80

CIO Business Intelligence

DECEMBER 21, 2022

Focus on data governance Data governance is vital to ESG initiatives. In addition to ensuring compliance, data will also inform which goals your organization pursues and how it tracks them. “As As investors demand increasingly detailed data to assess climate-related risk, data quality is critical,” Nick says.

Metrics 105

Metrics Data Governance Reporting Dashboards 105

IBM Big Data Hub

MARCH 25, 2022

There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate. In other words, the obstacles of data access, data integration and data protection are minimized, rendering maximum flexibility to the end users. Protection is applied on each data pipeline.

Metadata 106

Metadata Data Quality Data Governance Data Integration 106

Ontotext

JANUARY 10, 2024

Overall, RDF graphs are much finer-grained and enable better data governance and flexibility, while LPGs have proven to be more efficient in some graph analytics tasks. To implement a data fabric pattern, on the other hand, we need data management tools for data integration, data quality, and data governance.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

MAY 9, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries.

Technology 52

Technology Cost-Benefit Statistics Publishing 52

erwin

MAY 27, 2020

They should automatically generate data models , providing a simple, graphical display to visualize a wide range of enterprise data sources based on a common repository of standard data assets through a single interface. Data siloes, of course, are the enemies of data governance.

Modeling 98

Modeling Metadata Data Governance Visualization 98

IBM Big Data Hub

JULY 28, 2022

This feature significantly increases the productivity of the data stewards who provide business context to data by ensuring data quality, usefulness and protection for broader consumption. The post Metadata enrichment – highly scalable data classification and data discovery appeared first on Journey to AI Blog.

Metadata 56

Metadata Data Quality Machine Learning Statistics 56

CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

Metadata 52

Metadata Data Quality Visualization Data Lake 52

CDW Research Hub

NOVEMBER 29, 2021

The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions. As each solution varies, so will your data processing needs.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56