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

CIO Business Intelligence

APRIL 1, 2024

However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

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 304

Data Quality Metadata Data Governance Publishing 304

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? However, as we have seen with data surrounding the COVID situation itself, incorrect, incomplete or misunderstood data turn these “what-if” exercises into “WTF” solutions.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

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

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