ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. Data Warehouse. Data Lake.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

Data Governance 52

Data Governance Government Data Management Data Quality 52

Smart Data Collective

OCTOBER 17, 2022

A potential option is to use an ELT system — extract, load, and transform — to interact with the data on an as-needed basis. It may conflict with your data governance policy (more on that below), but it may be valuable in establishing a broader view of the data and directing you toward better data sets for your main models.

Big Data 299

Big Data Government Data Governance Data Warehouse 299

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Recent research at an ophthalmology clinic found that just 23.5

Healthcare 252

Healthcare Big Data Data Analytics Data Analytics 252

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

The Data Administration Newsletter

SEPTEMBER 7, 2022

Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the field…so that’s 10-15 years now. Most data quality definitions take Fit-for-Purpose as a given.

Data Governance 59

Data Governance Government Data Quality Data Management 59

Analysts Corner

NOVEMBER 24, 2022

It is not uncommon to find conflicting definitions and different sets of responsibilities for a business analyst role in different job descriptions. A skilled business analyst is an asset for an organization. However, there is a lot of confusion as to what a business analyst does, and what his/her roles and responsibilities are.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Astera

MAY 8, 2024

A business glossary breaks down complex terms into easy-to-understand definitions, ensuring that everyone in the organization, from the newest recruit to the CEO, is on the same page regarding business language. Provide quick access to clear definitions for effective communication in daily operations.

Data Governance 52

Data Governance Government Healthcare 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

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 40

Data Governance Government Data Management Data Security 40

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 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

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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Quality Government 52

ElegantJ BI

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Tableau

JULY 15, 2021

The enterprise cloud data management company helped Tableau customer AmeriPride empower business users with data—ultimately driving profit and company growth. AmeriPride built a thriving Data Culture, with help from Informatica, by democratizing data for all, while ensuring secure data governance.

Digital Transformation 102

Digital Transformation Supply Chain Data Governance Government 102

Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

Data Governance 40

Data Governance Government Data Quality Banking 40

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. These differentiate a dependable provider from the others. Service Levels.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

JUNE 4, 2024

This quickness eliminates time wasted searching through siloed data sources. Improved Data Governance It specifies the data origin and the potential impact of changes to the data by facilitating data lineage tracking, impact analysis, and enforcement of data governance policies.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

The BAWorld

MAY 25, 2024

While data has extreme potential to change how we run things in the business world, there are also cons or risks if this data is mishandled. 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.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Big Data 52

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, I also look for structured processes, effective data management, good knowledge management, and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others. SERVICE LEVELS.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

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

Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

Data Quality 52

Data Quality Data Governance Government 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. Implementing robust data governance frameworks and quality assurance processes is essential to address this.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others. SERVICE LEVELS.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others. SERVICE LEVELS.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data Governance .

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

JUNE 12, 2024

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

AUGUST 29, 2024

Step 6: Ongoing Data Governance The final phase focuses on maintaining data quality and consistency over time. Continuous data governance is essential for preserving the value of the integrated data and preventing data degradation over time. Request a Demo

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

The Data Administration Newsletter

FEBRUARY 1, 2022

I have worked on a wide variety of data catalog projects lately, and I’d like to share some of my thoughts from the various implementations that I’ve done. What is a Data Catalog? After discussions with a trusted colleague, I have begun to re-think my definition of what a Data Catalog is.

Data Governance 75

Data Governance Government Data Management 75