Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 363

Data Warehouse Big Data Procurement Data Visualization 363

Data Pine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. click for book source**. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JUNE 14, 2023

Supplier/Procurement Model: Suppliers provide goods or services to meet business procurement needs. It supports different data formats and offers features like data profiling, cleansing, mapping, and transformation to ensure high-quality data.

Procurement 40

Procurement Data Security Monitoring Retail 40

Astera

JUNE 14, 2023

Supply Chain Management Systems: These systems enable businesses to manage their supply chain operations, including procurement, inventory management, and logistics. OLAP databases optimize complex data queries and cater to systems that require processing large volumes of data for data analysis and reporting.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Insight Software

NOVEMBER 16, 2021

Logistics managers’ top concerns are procuring the right number of resources at the right time, transporting them to the correct location in good condition, and delivering them to the right customer. Importance of Monitoring KPIs for Logistics Managers. Poor logistics management could easily impact the business’s bottom line.

Logistics 84

Logistics IBM cost IBM Maintenance IBM Support 84