DataKitchen

FEBRUARY 2, 2023

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. We are heading into ‘data winter.’

Metadata 130

Metadata Testing Risk Data Science 130

Smart Data Collective

MARCH 22, 2023

And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.

Big Data 90

Big Data Advertising Data-driven Data Science 90

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. As such a head of analytics, BI and data science may emerge. Many data science labs are set up as shared services. CAO may well be a name for that role. It is across all D&A.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

FEBRUARY 21, 2023

His team is already on Azure and uses ADF, Synapse, PowerBi, and several powerful Azure Data Science tools. Marcus has inherited a team in which individual ‘heroes’ built data analytics as a set of side projects without consistency or management. Shouldn’t Marcus consider upgrading his technology? A better ETL tool?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

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 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73