datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

OCTOBER 11, 2023

In addition, he also mentioned the lack of standardized measurements for understanding the impact and the potential harm AI-powered projects have and the risks they bring. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

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. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? (2) Why should your organization be doing it and why should your people commit to it? (3) In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

AWS Big Data

FEBRUARY 29, 2024

For users to be able to discover and comprehend the data, the first step is to build a comprehensive catalog using the metadata that is generated and captured in the source systems. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 92

Data Governance Unstructured Data Metadata Data Lake 92

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

MAY 4, 2023

The UK GDPR states that security measures must ensure the confidentiality, integrity, and availability of data (known in cybersecurity as the CIA triad) and protect against accidental loss, destruction, or damage. Data Privacy and Security The EU’s GDPR has formed the basis of data privacy regulations not just in EU but around the world.

Metadata 52

Metadata Risk Measurement Enterprise 52

CIO Business Intelligence

NOVEMBER 22, 2022

As a result, a growing number of IT leaders are looking for data strategies that will allow them to manage the massive amounts of disparate data located in silos without introducing new risk and compliance challenges. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

erwin

APRIL 16, 2021

The webinar looked at how to gauge the maturity and progress of data governance programs and why it is important for both IT and the business to be able to measure success. This webinar will discuss how to answer critical questions through data catalogs and business glossaries, powered by effective metadata management.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Alation

MARCH 14, 2023

All critical data elements (CDEs) should be collated and inventoried with relevant metadata, then classified into relevant categories and curated as we further define below. Store Where individual departments have their own databases for metadata management, data will be siloed, meaning it can’t be shared and used business-wide.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. Data lineage and financial risk data compliance. All these models need to be informed by data, with operational risk assessment mandating loss data that goes back 10 years. .

Insurance 52

Insurance Risk Metadata Reporting 52

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. It required banks to develop a data architecture that could support risk-management tools. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. million people at risk of catastrophic, flooding. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

Alation

MARCH 22, 2022

DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure. So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? As with any next big thing, there is no free lunch.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

AWS Big Data

APRIL 3, 2024

As data is refreshed and updated, changes can happen through upstream processes that put it at risk of not maintaining the intended quality. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 86

Data Quality Visualization Metadata Metrics 86

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 332

Management Machine Learning Experimentation Metrics 332

erwin

APRIL 15, 2020

This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Ingest to a quarantined area where it can be profiled and measured for quality, completeness, and correctness, and where necessary, cleansed. Data Governance Methods for Data Distancing.

Data Governance 134

Data Governance Metadata Testing Reporting 134

CIO Business Intelligence

MARCH 25, 2022

The Australian government is increasingly alert to potential risks and threats and the implications of the changing digital and geopolitical environment has for self-determination, or sovereign capability.

Metadata 59

Metadata Risk Manufacturing Measurement 59

CIO Business Intelligence

SEPTEMBER 6, 2022

It’ being everything from how they collect and measure data, to how they understand it and their own glossary. Pimblett took a carrot-and-stick approach to get everyone working together, partnering with them on value creation (the carrot of profit) and risk mitigation (the stick of compliance).

IT 98

IT Forecasting Data Lake Enterprise 98

DataRobot Blog

SEPTEMBER 1, 2022

Imagine yourself as a pilot operating aircraft through a thunderstorm; you have all the dashboards and automated systems that inform you about any risks. But many of the things you need to measure for your business are hyperspecific for your unique problems and opportunities — specific business KPIs or data science secrets.

Metrics 145

Metrics Statistics Modeling Data Science 145

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. In fact, this gives Apache Ozone a significant performance advantage over other object stores in the data analytics ecosystem.

Testing 89

Testing Measurement Optimization Metadata 89

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? These goals must also be SMART— Specific, Measurable, Attainable, Relevant, and Time-based. To measure failure vs. success, governance leaders must actively monitor all governance efforts. Data governance is a system for answering core questions about data.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

NOVEMBER 15, 2023

Second, it should articulate IT’s vision and its plan to achieve it while still creating measurable value in the present. And don’t just rattle off project metadata. And finally, it should elucidate the department’s mechanisms of governance and its processes that drive day-to-day operations. What pains did it alleviate? And be precise.

Publishing 124

Publishing Reporting IT Finance 124

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Execute your first project, measure the impact, and tell the story to business stakeholders.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 86

Data Architecture Risk Management Risk Management 86

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Its value can be hard to demonstrate to those who don’t work directly with data and metadata on a daily basis.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JANUARY 16, 2024

This lets you to define, avoid, and handle disruption risks as part of your business continuity plan. Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment.

Strategy 98

Strategy Metadata Metrics Dashboards 98

IBM Big Data Hub

APRIL 11, 2024

Compliance with official policies through auditing tools and other measures is merely the final step. In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). ” Academic and scientific perspectives are also essential.

Risk 78

Risk Consulting Modeling Data Processing 78

AWS Big Data

JULY 28, 2023

It requires careful analysis to identify data dependencies and mitigate any potential risks or disruptions. Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Tags provide metadata about resources at a glance.

Snapshot 79

Snapshot Metadata Measurement Data Warehouse 79

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. These are table stakes for the DoD or any government agency.

Metadata 102

Metadata Measurement Risk Modeling 102

Laminar Security

SEPTEMBER 18, 2023

Do you know the data risks of your regular backup practices? I’ve previously discussed the risk of shadow data (those data stores you didn’t even know you had), and the team specifically dove into how versioning (a feature used to protect from accidental deletion) can unintentionally create shadow data. How do you combat the risk?

Risk 128

Risk Testing Data Governance Metadata 128