Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 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

Dataversity

MAY 4, 2021

Reports suggest that by the year 2025, there will be an increase of data by 175 zettabytes. This amount of data can be beneficial to organizations, as […]. The post How to Improve Data Discovery with Sensitive Data Intelligence appeared first on DATAVERSITY.

Data Discovery 130

Data Discovery Data Governance Data Quality Data Architecture 130

Tableau

JUNE 13, 2022

In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Learn more.

Chief Data Officer 78

Chief Data Officer Government Data Discovery Data Architecture 78

Tableau

JUNE 13, 2022

In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Learn more.

Chief Data Officer 72

Chief Data Officer Government Data Discovery Data Architecture 72

Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246