Juice Analytics

MAY 19, 2021

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Data Quality Data Warehouse 52

Astera

SEPTEMBER 25, 2024

It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation. Limited documentation: Many third-party reviews mention Airbyte lacks adequate connector-related documentation. Let’s find out in this blog.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

JANUARY 2, 2024

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

APRIL 24, 2024

Pros: User-friendly interface for data preparation and analysis Wide range of data sources and connectors Flexible and customizable reporting and visualization options Scalable for large datasets Offers a variety of pre-built templates and tools for data analysis Cons: Some users have reported that Alteryx’s customer support is lacking.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52