Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Product/market fit is THE most important factor to get right. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

MARCH 3, 2019

After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. There are essentially four types encountered: image/video, audio, text, and structured data. Check the end of this article for key guidance synthesized from the practices of the leaders in the field.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49