Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

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

NOVEMBER 28, 2023

Data plays a significant role in business growth and digital initiatives for approximately 94% of enterprises. However, the full potential of these data assets often remains untapped, primarily due to the scattered nature of the data. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

MARCH 20, 2024

Why is Enterprise Data Management Important? The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. Data Quality Management Not all data is created equal.

Data Management 52

Data Management Master Data Management Government Data Warehouse 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

JUNE 14, 2023

With the ability to extract key data from digitized or image-based invoices, these software solutions are helping businesses save time and money while increasing efficiency. OCR is a type of technology that uses image analysis to identify text in an image and convert it into a digital format.

Documentation 40

Documentation Digital Banking Data Security 40