CIO Business Intelligence

OCTOBER 24, 2023

“Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. These embeddings capture features and representations of data, enabling machines to understand, abstract, and compute on that data in sophisticated ways.”

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

AWS Big Data

JULY 29, 2024

Partitions table : This table shows how data is partitioned across different files and provides statistics for each partition, which is crucial for understanding and optimizing data distribution. CloudWatch anomaly detection and alerting features help organizations proactively manage their data lakes.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. “We

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. New data suggests that pinpoint or targeted efforts are likely to be more effective. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Data science skills. What is data science?

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52