Astera

AUGUST 15, 2023

Secure Socket Layer/Transport Layer Security (SSL/TLS): Utilize SSL/TLS protocols to establish secure connections and encrypt data during transmission, preventing unauthorized access and interception. It minimizes the reliance on paper-based documentation, streamlines workflow, and reduces administrative overheads.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

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

MARCH 20, 2024

Data Quality Management Not all data is created equal. Data quality management enables you to implement processes for data cleansing, validation, and ongoing monitoring, providing your teams with reliable data that’s fit for analysis. Inaccurate or inconsistent information leads to flawed decisions.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

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.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

APRIL 29, 2024

Aligning the overarching data strategy. Ensuring ongoing monitoring and adaptation. Three important components of data governance strategy ensure an organization’s practical management of data assets. These components offer a comprehensive plan for maximizing the value of data assets.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

OCTOBER 12, 2023

Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators. Data Monitoring: The solution provides users with visibility into the data set to detect and identify any discrepancies.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52