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

Octopai

APRIL 16, 2020

Businesses around the globe have been forced to reassess the way they conduct their operations, even if their methods have been in place for decades. Some business intelligence professionals are not only contributing to their organization’s survival during these difficult times; they are actually helping it thrive.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. Another is poor communication between projects or business units. An even larger issue is that people may not know how to see value in data.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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 176

Testing Data Quality Predictive Modeling Metrics 176

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Then in the bottom tier, you had your data management, your back office, right? One is data quality, cleaning up data, the lack of labelled data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109