ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

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ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. Data governance manages the formal data assets of an organization.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

APRIL 22, 2024

This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details. According to RBC, the digital universe of healthcare data is expected to increase at a compound annual growth rate of 36% by 2025.

Data Governance 52

Data Governance Healthcare Government Data Discovery 52

Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

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

ElegantJ BI

APRIL 24, 2019

Users can leverage crucial business insight to build and sustain a competitive advantage, make decisions about market and product entries and assess team and project results, financials, HR and resources, partners and suppliers, industry and government compliance, data security and other critical business factors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Security 130

ElegantJ BI

APRIL 24, 2019

Users can leverage crucial business insight to build and sustain a competitive advantage, make decisions about market and product entries and assess team and project results, financials, HR and resources, partners and suppliers, industry and government compliance, data security and other critical business factors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Security 130

ElegantJ BI

APRIL 24, 2019

Users can leverage crucial business insight to build and sustain a competitive advantage, make decisions about market and product entries and assess team and project results, financials, HR and resources, partners and suppliers, industry and government compliance, data security and other critical business factors.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Security 130

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

MAY 11, 2022

At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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

GAVS Technology

MARCH 18, 2024

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 52

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

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

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)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 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. Compliance.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

MAY 14, 2024

Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable. Data is only valuable if it is reliable.

Government 52

Government Data Governance Master Data Management Documentation 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

Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. As a result, RBAC simplifies data security management and minimizes the risks of data breaches and leaks.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. As a result, RBAC simplifies data security management and minimizes the risks of data breaches and leaks.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

Data Governance Government Data Discovery Data Security 130

ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

Data Discovery Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

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

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.

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Data Discovery Data Governance Data Quality Data Security 173