Astera

MAY 22, 2024

It ensures consistent data policies and rules are applied, creating data reliability. Building a solid data governance framework involves several key pillars. Data Managers: Data managers oversee the technical infrastructure that stores and manages data assets.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

The BAWorld

MAY 25, 2024

By the time we reached the 2020s, the emphasis or the focus moved to collecting and managing high-quality data for specific requirements or purposes. Data is said to be a very powerful tool, but it can be used against you if it is not managed properly. Data governance is quite critical due to privacy regulations and GenAI.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Quality 52

Astera

APRIL 24, 2024

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

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored? Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

AUGUST 5, 2024

Data Quality and Integration Ensuring data accuracy, consistency, and integration from diverse sources is a primary challenge when analyzing business data. Security and Compliance: Ensure the tool meets industry standards and requirements for data security, privacy, and compliance.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs.

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

MARCH 28, 2024

Establishing a data catalog is part of a broader data governance strategy, which includes: creating a business glossary, increasing data literacy across the company and data classification. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

MAY 9, 2023

To mitigate business risks that are associated with storing data that is sensitive. Businesses must have an effective strategy for data governance to ensure meeting regulatory compliances, minimizing risks, improving data security, and creating accountability for their data.

Data Governance 40

Data Governance Government Data Management Data Security 40

Astera

JANUARY 2, 2024

This is why organizations have effective data management in place. But what exactly is data management? This article serves as a comprehensive guide to data management, covering its definition, importance, different processes, benefits, challenges, and best practices. What Is Data Management?

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

FEBRUARY 28, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Encryption, data masking, authentication, authorization, and auditing are your arsenal.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

SEPTEMBER 20, 2023

It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making. But what exactly does data integration mean? The process of combining data from diverse sources into a unified and cohesive view.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making. But what exactly does data integration mean? The process of combining data from diverse sources into a unified and cohesive view.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

AUGUST 30, 2024

Access our solution virtually and instantly 5 Best Practices for a Successful On-Premise to Cloud Migration The success of your migration will depend on your expected outcomes, so there’s no definitive guide for it. Read more: Practical Tips to Tackle Data Quality Issues During Cloud Migration 3.

Data Governance 52

Data Governance Government Data Quality Documentation 52

GAVS Technology

AUGUST 31, 2021

The Healthcare Information and Management Systems Society (HIMSS) developed a set of definitions of interoperability. Foundational (Level 1) establishes the inter-connectivity requirements needed for any system or application to send and receive data securely from one another. HIMSS classifies interoperability into four levels.

Healthcare 40

Healthcare Data Security Government Data Management 40

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 1, 2023

Effective data governance is essential in the financial services industry to ensure data integrity for risk management and reporting. This requires a clear understanding of data governance’s definition and core principles, the regulatory landscape, and compliance requirements specific to the financial industry.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. PII under EU GDPR or internal team data).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52