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.

Data Management 213

Data Management Data Warehouse Master Data Management Digital Transformation 213

Astera

NOVEMBER 1, 2023

A credit risk manager may track the lineage of a portfolio of loans to identify potential issues, such as aging loans, non-performing loans, or loans with documentation errors.   Metadata Management Metadata management involves capturing and managing descriptive information about data assets.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

AUGUST 8, 2023

It helps users to clean data and uncover missed matches from diverse sources, ensuring reliability and accuracy throughout the enterprise data ecosystem. However, limited documentation is available for its advanced features, such as custom data profiling patterns, advanced matching options, and survivorship rule setup.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

APRIL 24, 2024

Best for: Businesses looking for an end-to-end data management solution from extraction to data integration, data warehousing, and even API management. Alteryx Alteryx is a data analytics platform offering a suite of data aggregation tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 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