Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

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

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 97

Chief Data Officer Government Data Discovery Data Analytics 97

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 95

Chief Data Officer Government Data Discovery Data Analytics 95

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

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 Discovery Data Governance 246

Dataversity

SEPTEMBER 20, 2021

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.

Digital 246

Digital Data Discovery Data Governance Data Quality 246

Astera

JUNE 4, 2024

While data dictionaries offer some lineage information for specific fields within a database, data catalogs provide a more comprehensive lineage view across various data sources. Benefits of a Data Catalog Streamlined Data Discovery Data catalogs empower users to locate relevant datasets quickly based on specific criteria.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Automating tasks facilitates data integration activities, helping your organization manage high volumes of complex data from disparate sources.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Data Pine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

Astera

MAY 8, 2024

A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms. When everyone adheres to standardized terminology, it minimizes data interpretation and usage discrepancies.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Astera

JULY 12, 2024

This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance , and utilization.

Data Governance 52

Data Governance Government Documentation Data Quality 52

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 Quality Data Warehouse 52

Astera

FEBRUARY 28, 2024

They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Discovery Data Modelling 147

Dataversity

JUNE 13, 2022

When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions.

Data Discovery 130

Data Discovery Data Governance Data Quality Data Architecture 130

Dataversity

APRIL 7, 2021

It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […].

Data Discovery 130

Data Discovery Data Governance Data Quality Government 130

Dataversity

AUGUST 2, 2021

Enterprise organizations evaluate several factors when choosing a data migration vendor. The post Discovery and Reporting: The Bread and Butter of Data Migration appeared first on DATAVERSITY. Click to learn more about author Daniel Esposito.

Data Discovery 130

Data Discovery Data Governance Data Quality Government 130

Astera

FEBRUARY 27, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

MAY 14, 2024

Metadata management is elemental in providing this context to data and is the cornerstone for effective data governance and intelligent data management, ensuring your data is reliable and authentic. Governance: Establishing metadata governance processes to ensure metadata integrity, security, and compliance.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

OCTOBER 30, 2024

This is because the integration of AI transforms the static repository into a dynamic, self-improving system that not only stores metadata but also enhances data context and accessibility to drive smarter decision-making across the organization. And when everyone has easy access to data, they can collaborate and meet demands more effectively.

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52

Astera

JUNE 14, 2024

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline.

Data Governance 40

Data Governance Government Data Quality Data Discovery 40

Dataversity

SEPTEMBER 12, 2024

You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics.

Data Discovery 290

Data Discovery Data Management Data Governance Data Quality 290

Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Analysts Corner

NOVEMBER 26, 2024

In the preface of the second edition, Strengholt explains that the first edition of Data Management at Scale was published more or less at the same time as Zhamak Dehghani’ s blog posts on Data Mesh.

Data Architecture 130

Data Architecture Data Discovery Data Management Data Governance 130

Dataversity

NOVEMBER 27, 2023

However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […] The post 7 Data Democratization Trends to Watch appeared first on DATAVERSITY.

Data Discovery 173

Data Discovery Data Governance Data Quality Data Security 173