Data Analytics Documentation Master Data Management Monitoring 
Smart Data Collective
APRIL 29, 2020
Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. Data transformation. Data analytics and visualisation.
Astera
NOVEMBER 1, 2023
Credit rating agencies may use data from credit bureaus to evaluate creditworthiness and assign credit ratings to borrowers. Data Quality Management Data quality management involves monitoring and controlling data quality to ensure its suitability for the intended purpose.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Astera
AUGUST 8, 2023
Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Data Security and Compliance: The tool has security and compliance features, safeguarding your data and ensuring adherence to relevant regulations.
Astera
APRIL 24, 2024
At its core, Astera boasts a potent ETL engine that automates data integration. Additionally, the platform’s customizable automation enhances efficiency by scheduling tasks and providing real-time monitoring to address integration errors quickly. These features streamline data integration, ensuring users enjoy uninterrupted data flow.
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.
Expert insights. Personalized for you.
211 
Let's personalize your content