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. Adopting AI can help data quality.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 327

Management Machine Learning Experimentation Metrics 327

Depict Data Studio

MAY 12, 2020

Amanda said, “There are different points in which we make decisions about how and what we visualize, and then how we publish and share. Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Anmut

OCTOBER 29, 2020

As a result, concerns of data governance and data quality were ignored. The direct consequence of bad quality data is misinformed decision making based on inaccurate information; the quality of the solutions is driven by the quality of the data. COVID-19 exposes shortcomings in data management.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 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

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

datapine

MAY 31, 2022

In fact, the Foundry’s recently published Cloud Computing Study (2022) found that 84% of organizations have at least one application, or a portion of their computing infrastructure already in the cloud. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237