Andrew White

MAY 4, 2020

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. and quality (how does this impact service delivery, business process and data quality?). They also leverage ideas from design thinking workshops where platform users and stakeholders are encouraged to think big.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Depict Data Studio

MAY 12, 2020

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda is the Operations Director for the Data Visualization Society. COVID-19 Data Quality Issues. We can’t always quantify that uncertainty.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. Again, talking about executives… In December last year, I was on a workshop for World Economic Forum. They learned about a lot of process that requires that you get rid of uncertainty. You know what? How could that make sense?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145