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

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

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

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

Dataversity

SEPTEMBER 10, 2024

Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures. However, this approach has a critical oversight: The assumption that […] The post The Role of Data Security in Protecting Sensitive Information Across Verticals appeared first on DATAVERSITY.

Data Security 130

Data Security Cybersecurity Data Governance Data Quality 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

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

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

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

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

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

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

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 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

Smart Data Collective

FEBRUARY 23, 2021

To avoid this, you should consider: Adding meta-tags Coming up with a taxonomy governance Applying version control Scan data regularly to correct problems. The whole point of using big data to make informed marketing decisions is the fact that it removes inconsistencies. Not Having a Data Architecture Plan.

Big Data 294

Big Data Data Quality Data Visualization Visualization 294

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Unstructured Data Management.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

The Data Administration Newsletter

DECEMBER 19, 2023

This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. These untapped sources could include customer information, transaction records, and more. Since dark data represents missed opportunities for […]

Data Governance 52

Data Governance Data Architecture Government Data Management 52

Astera

AUGUST 13, 2024

The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval. The upgrade allows employees to access and analyze data easily, essential for quickly making informed business decisions.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

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?

Data Architecture 130

Data Architecture Data Quality Data Governance Government 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.

Agile 130

Agile Enterprise Architecture Data Governance Government 130

Astera

JUNE 4, 2024

Unlike data dictionaries, which focus on structured data within a specific database, a data catalog creates a comprehensive registry of data assets across an organization. Metadata About Each Data Asset Data catalogs function as detailed libraries, which means each data set is assigned metadata , a set of informational tags.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data. Data governance is the foundation of EDM and is directly related to all other subsystems.

Data Management 98

Data Management Data Architecture Data Governance Government 98

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 Quality Management Not all data is created equal.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

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

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 users, who will be able to quickly process data reports using analytics without bottlenecks from ingestion, access, or availability.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Dataversity

FEBRUARY 28, 2024

IAM serves as the gatekeeper to an organization’s sensitive information, ensuring that only authorized individuals have an appropriate level of access. With […] The post Protecting Your Data: 5 IAM Trends to Watch appeared first on DATAVERSITY.

Digital 276

Digital Data Governance Data Quality Data Architecture 276

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

Dataversity

JUNE 20, 2024

Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […] The post End the Tyranny of Disaggregated Data appeared first on DATAVERSITY. You need to find out why and fast.

Data Governance 173

Data Governance Data Quality Data Architecture Government 173

Astera

NOVEMBER 30, 2023

Building upon the strengths of its predecessor, Data Vault 2.0 elevates data warehouse automation by introducing enhanced scalability, agility, and adaptability. It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. vs Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 98

Chief Data Officer Supply Chain Government Data Architecture 98

Tableau

FEBRUARY 14, 2022

Let’s look at a few focus areas of a people-centric strategy to help you achieve trusted data and successful AI projects: your data architecture, the processes for managing governed data, and balancing the roles of people and machines. Lay a strong foundation with your data architecture. “I

Chief Data Officer 95

Chief Data Officer Supply Chain Government Data Architecture 95

Domo

JULY 23, 2024

Crafting an effective data strategy across cloud systems can feel like trying to herd cats. Despite advancements in data engineering and predictive modeling, chief information officers (CIOs) face the tough challenge of making data accessible and breaking down silos that hinder progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. 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. The problem data fabrics are designed to solve.

Chief Data Officer 97

Chief Data Officer Government Data Discovery Data Analytics 97

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. 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. The problem data fabrics are designed to solve.

Chief Data Officer 95

Chief Data Officer Government Data Discovery Data Analytics 95