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

Jet Global

APRIL 9, 2023

Now more than ever, organizational leadership is looking to the Office of the CFO to be a strategic partner in building an overall business strategy. This means finance is saddled with providing timely planning, forecasting, and reporting that informs business decisions in the moment.

Finance 52

Finance Forecasting Predictive Analytics Data-driven 52

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

APRIL 28, 2022

However, many financial services companies still prefer to build their own data centers rather than leverage cloud solutions. Much of this reluctance stems from the regulatory environment, arising from lengthy reviews and approvals processes, or even simple near-term regulatory uncertainty. .

Analytics 87

Analytics Insurance Big Data Uncertainty 87

Timo Elliott

JANUARY 4, 2021

First, because uncertainty exploded. The rules of thumb and standard ways of doing business have been thrown out of the window. As I’ve said, data storytelling isn’t fundamentally about technology. Dashboards and analytics have been around for a long, long time. But recently, there has been a surge in demand. The key takeaways.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

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 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52