Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. SAP Lumira.

Business Intelligence 326

Business Intelligence Business Intelligence Supply Chain Data Governance 326

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

MAY 13, 2024

These are some uses of hierarchical aggregation in a few industries: Finance: Evaluating financial data by transaction, account type, and branch. Government: Using regional and administrative level demographic data to guide decision-making. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JULY 13, 2023

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

OCTOBER 27, 2023

Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Cprime

DECEMBER 21, 2022

Unifying information components to normalize the data and provide business intelligence tools to access marketing data and enhance productivity and efficiency. Optimizing business processes using accurate real-time data necessary for timely reaction to challenges, as well as adaptation to changes in customer needs and behaviors.

Data Management 52

Data Management Real-time Data Data Governance Vision 52