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

MAY 4, 2023

As a result, models become more robust against noise and outliers , leading to more accurate predictions and better decision-making outcomes for businesses. AI-Powered Predictive Analytics AI-powered predictive analytics is transforming how businesses operate by providing unparalleled insights and predictions.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

OCTOBER 27, 2023

Here are more benefits of a cloud data warehouse: Enhanced Accessibility Cloud data warehouses allow access to relevant data from anywhere in the world. What’s more, they come with access control features to ensure that the data required for BI is only visible to the relevant personnel.

Data Warehouse 52

Data Warehouse Big Data Data Quality Predictive Analytics 52

Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

MAY 6, 2024

RapidMiner RapidMiner is an open-source platform widely recognized in the field of data science. It offers several tools that help in various stages of the data analysis process, including data mining, text mining, and predictive analytics.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

NOVEMBER 1, 2023

A data warehouse may be the better choice if the business has vast amounts of data that require complex analysis. Data warehouses are designed to handle large volumes of data and support advanced analytics, which is why they are ideal for organizations with extensive historical data requiring in-depth analysis.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52