Astera

MAY 31, 2024

Data Analytics is generally more focused and tends to answer specific questions based on past data. It’s about parsing data sets to provide actionable insights to help businesses make informed decisions. Summary statistics are also calculated to provide a quantitative description of the data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

DECEMBER 21, 2022

The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 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

Insight Software

MAY 1, 2023

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Look for those that do not require data replication or advanced data modeling.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52