Dataversity

MAY 25, 2021

Modern document management systems offer professionals a host of unique features and have truly begun to revolutionize the office environment. The post The Benefits of Document Management Systems for Your Data appeared first on DATAVERSITY.

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Dataversity

JUNE 14, 2022

Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].

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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.

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Sisense

JULY 6, 2020

Its main purpose is to establish an enterprise data management strategy. That includes the creation of fundamental documents that define policies, procedures, roles, tasks, and responsibilities throughout the organization. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

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Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

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Astera

JUNE 14, 2024

Data Privacy: Protecting private information from unlawful access and ensuring data handling practices comply with privacy laws and regulations. Data Security: Safeguarding data against breaches and cyber threats through robust security measures like encryption and regular security audits.

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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. Modernizing legacy systems EDM requires that there’s a clear understanding of data origin and transformations.

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