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

Cprime

SEPTEMBER 7, 2023

Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. Mapping Old to New: A crucial part of this stage involves mapping the existing data structure to the new one, ensuring no loss of essential information.

User Experience 52

User Experience Data Modelling Procurement Planning 52

Astera

JUNE 14, 2023

These transactions typically involve inserting, updating, or deleting small amounts of data. Normalized data structure: OLTP databases have a normalized data structure. This means that they use a data model that minimizes redundancy and ensures data consistency. What is OLAP?

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Astera

JUNE 14, 2023

Here are seven major models: Manufacturer/Distributor Model: Manufacturers produce goods while distributors sell and distribute them. Supplier/Procurement Model: Suppliers provide goods or services to meet business procurement needs. DWBuilder : It simplifies the process of building and maintaining data warehouses.

Procurement 52

Procurement Data Security Retail Monitoring 52

Data Pine

MARCH 25, 2022

Data modeling: Marketers or analysts can use data modeling to assess the success of marketing campaigns and find improvement opportunities. For example, by analyzing behavioral data, you can predict lead’s likelihood of moving down the funnel from awareness to purchase.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

JANUARY 2, 2024

Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

OCTOBER 27, 2023

Transitioning to a different cloud provider or adopting a multi-cloud strategy becomes complex, as the migration process may involve rewriting queries, adapting data models, and addressing compatibility issues. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52