CIO Business Intelligence

MAY 8, 2024

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

Data Integration 92

Data Integration IoT Cost-Benefit Data Quality 92

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Andrew White

JANUARY 11, 2021

In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. Do you draw a distinction between a data-driven vision and a data-enabled vision, and if so, what is that distinction? where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

Jet Global

OCTOBER 24, 2023

Why Finance Teams are Struggling with Efficiency in 2023 Disconnected SAP Data Challenges Siloed data poses significant collaboration challenges to your SAP reporting team like reporting delays, limited visibility of data, and poor data quality.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52