Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

MARCH 20, 2024

Functioning as a data dictionary, metadata management defines the structure and meaning of your data assets. It also facilitates effective data discovery and knowledge sharing within the organization. Similarly, developing and executing a successful data strategy also needs experienced personnel.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

MARCH 19, 2024

Establishing guidelines for accessing and using data ensures it is utilized appropriately and ethically. Is the data accurate and reliable? Implementing measures to maintain data integrity ensures that the data is accurate, consistent, and trustworthy. Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52