Dataversity

DECEMBER 2, 2024

In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks.

Data Architecture 130

Data Architecture Data Governance Government Vision 130

Dataversity

JULY 15, 2024

In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success.

Data Architecture 162

Data Architecture Predictive Analytics Customer Experience Customer Experience 162

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

Dataversity

JANUARY 14, 2021

However, with data protection laws and positive awareness across the world, firms have extended the formalization to data collection management. The post Five Data Governance Trends for Digital-Driven Business Outcomes in 2021 appeared first on DATAVERSITY. This, in fact, is the first […].

Data Governance 204

Data Governance Government Digital Data Quality 204

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 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

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

The Data Administration Newsletter

APRIL 17, 2024

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.

Data Governance 52

Data Governance Government Data Architecture Data Management 52

The Data Administration Newsletter

APRIL 5, 2022

Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 1 The terms “Data Mesh” and “Data Fabric” are the most recent examples of names being given to something that describes techniques to help organizations manage their data.

Data Governance 98

Data Governance Government Data Architecture Data Management 98

The Data Administration Newsletter

SEPTEMBER 19, 2023

The transition from hybrid to multi-cloud environments is more than just a buzzword: It’s a fundamental shift in how organizations manage and utilize their data. As these complex architectures evolve, the importance of robust multi-cloud data governance cannot be overstated.

Data Governance 52

Data Governance Government Data Architecture Data Management 52

Dataversity

AUGUST 19, 2022

How can your company redesign its data architecture without making the same mistakes all over again? The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […].

Data Architecture 130

Data Architecture Data Governance Data Quality Government 130

Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

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 101

Data Governance Government Data Quality Change Management 101

Dataversity

OCTOBER 4, 2022

Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […]. The post Scaling Data Access Governance appeared first on DATAVERSITY.

Government 237

Government Cybersecurity Agile Data Governance 237

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

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Dataversity

JUNE 2, 2021

The deliverability of cloud governance models has improved as public cloud usage continues to grow and mature. The post Cloud Governance Models appeared first on DATAVERSITY. When we first started […].

Government 130

Government Data Governance Data Quality Data Architecture 130

The Data Administration Newsletter

APRIL 18, 2023

Banks – and their data volumes – are at the epicenter of the world’s digital transformation. The pace of change mirrors the velocity, volume, and variety of data within the industry. It is where new products, new markets, and new touchpoints mean new – often cloud-based – ways to do business in financial services.

Banking 59

Banking Data Governance Government Digital Transformation 59

Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data. Overcoming data lake disadvantages.

Data Architecture 52

Data Architecture Finance Government Visualization 52

Astera

SEPTEMBER 4, 2024

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Dataversity

FEBRUARY 23, 2022

Hence, there is a need to shift to cloud-based identity governance and administration (IGA) solutions. This type of cloud governance is more secure and reliable while providing […]. The post How Cloud Governance Allows Businesses to Become Compliant Superheroes appeared first on DATAVERSITY.

Government 130

Government Data Governance Data Quality Data Architecture 130

Dataversity

JULY 28, 2022

But we all know that cyberattacks are on the rise and evolving data privacy legislation has led to the […]. The post Why Data Access Governance Is Key to Going Faster appeared first on DATAVERSITY.

Government 130

Government Customer Experience Customer Experience Data Governance 130

BizAcuity

APRIL 14, 2022

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. With the amount of data being accumulated, it is easier when said.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

DECEMBER 14, 2021

Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support.

Data Governance 130

Data Governance Government Data Architecture Data Quality 130

Dataversity

FEBRUARY 16, 2023

Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture. The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives.

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Agile Enterprise Architecture Data Governance Government 130

Smart Data Collective

FEBRUARY 23, 2021

It would also go against the entire point of using data for marketing. To avoid this, you should consider: Adding meta-tags Coming up with a taxonomy governance Applying version control Scan data regularly to correct problems. Not Having a Data Architecture Plan. Using Small Datasets.

Big Data 296

Big Data Data Quality Data Visualization Visualization 296

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! Last year I wrote […].

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! Last year I wrote […].

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. This flexibility supports adding new data sources and services, ensuring the infrastructure can grow alongside the business.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 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

Domo

MAY 24, 2021

It is focused on accessibility of the data from any source, allowing business users to create visualizations—with the flexibility and the power of the cloud. Business leaders, who will get reports available in real-time—with the most recent data—to make informed, data-driven decisions.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Domo

JUNE 15, 2022

That means your data apps can run on Snowflake right alongside data stored in Domo—and even alongside your Databricks lakehouse—in one seamless experience. No moving or copying data—ever. And thanks to Domo’s Data Governance Toolkit , you can maintain data health and accuracy, no matter where it goes. .

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

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 Government Data Warehouse 52

Domo

APRIL 28, 2022

Many business teams do not have a clear understanding of who is responsible for maintaining data quality. And should duplicate data or errors be found, many do not know where to report quality issues. Managing permissions, access, and governance at scale. Governance Toolkit. Big data is on the rise. What’s left?

Government 98

Government Big Data Data Governance Customer Experience 98

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

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Data Architecture Data Quality Data Governance Government 130