National Archives Records Express

APRIL 25, 2024

National Archives Identifier: 6386418 This blog post is the first in a series focusing on specific areas agencies should consider in their transition to fully digital government. Introduction to Fully Digital Government OMB and NARA issued guidance that directed federal agencies to transition to electronic records.

Government 64

Government Computer and Electronics Paper Metadata 64

Collibra

NOVEMBER 25, 2020

Metadata management is a cross-organizational agreement on how to define informational assets. The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. The importance of metadata.

Metadata 59

Metadata Archiving Government Digital transformation 59

Collibra

NOVEMBER 5, 2020

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Who created this data?

Metadata 59

Metadata Government Privacy Sales 59

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Challenges around managing risk. The solution: AI Governance.

Government 97

Government Artificial Intelligence Metadata Data science 97

erwin

FEBRUARY 12, 2021

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Compliance 98

Compliance Risk Government Data breaches 98

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Digital transformation Government GDPR 52

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. So here’s why data modeling is so critical to data governance. CCPA vs. GDPR: Key Differences. erwin Data Modeler: Where the Magic Happens.

Government 144

Government Metadata Unstructured data GDPR 144

erwin

OCTOBER 8, 2020

And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. As organizations look to migrate their data from legacy on-prem systems to cloud platforms, they want to do so quickly and precisely while ensuring the quality and overall governance of that data.

Cloud 145

Cloud Government Metadata Data structuring 145

IBM Big Data Hub

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Government 66

Government GDPR Compliance Analytics 66

IBM Big Data Hub

DECEMBER 4, 2023

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

Government 74

Government Metadata Risk Compliance 74

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Data governance provides time-sensitive, current-state architecture information with a high level of quality.

Government 144

Government Compliance Risk Metadata 144

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Government 106

Government GDPR Metadata Risk 106

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. Discover risks.

Government 144

Government Metadata Risk Access 144

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.

Government 145

Government Metadata Digital transformation Analytics 145

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity. Maturity Levels.

Government 128

Government Metadata Digital transformation Education 128

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Government 105

Government Security Metadata Data breaches 105

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. Govern PII “at rest”. Classify, flag and socialize the use and governance of personally identifiable information regardless of where it is stored. Govern PII “in motion”.

GDPR 110

GDPR Government Metadata Compliance 110

The Last Watchdog

MARCH 21, 2019

Here are a few unexpected examples of supposedly anonymous data reversal: •In 2016, the Australian government released what they called the “anonymous” (i. Metadata spying. Metadata is worthy of a separate examination. Metadata can be used to reverse-engineer and pinpoint identity quite easily.

Metadata 230

Metadata IT Privacy Education 230

erwin

APRIL 15, 2020

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. This deeper understanding will help us make better decisions about the risks and rewards of using that external data.

Government 134

Government Data science Metadata Analytics 134

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. Governing metadata. Automated code generation.

Government 71

Government Metadata Big data Risk 71

Collibra

JULY 22, 2020

But we’re here to tell you that the place to start is active data governance and it doesn’t require you to reinvent the wheel or scramble for every nickel and dime in your budget. The key: active data governance. Having a strong data governance framework is critical for advancing as a data-enabled enterprise. Wasted investment.

Government 59

Government Metadata Cloud Compliance 59

IG Guru

DECEMBER 20, 2018

Metadata is structured data about data, information that facilitates the management and use of other information. The function of metadata is to provide your users with a standardized means for access to digitized materials. However, it is not enough to use just any metadata standard.

Metadata 40

Metadata Access IT Records Management 40

Collibra

JANUARY 16, 2024

While data catalogs have emerged as a collaborative and well-governed method for connecting people to data to help support these initiatives, driving their adoption and growth within organizations can be surprisingly challenging. This is a “process-aware” catalog.

Metadata 89

Metadata Compliance Government Digital transformation 89

The Texas Record

JUNE 28, 2021

In a nutshell, this is information governance. ARMA defines “information governance” as “the overarching and coordinating strategy for all organizational information. But how is information governance any different than records management? ” That sounds great! ” That sounds great! Extra Phases.

Information governance 98

Information governance Government Records Management e-Discovery 98

Collibra

OCTOBER 30, 2020

Data quality and data governance are both indispensable for organizations that want to become Data Intelligent enterprises. Data quality and data governance are certainly related, but they are two separate disciplines. However, organizations need data governance first to create the foundation for enterprise-scale data quality.

Government 100

Government Digital transformation Compliance Metadata 100

Collibra

JULY 22, 2020

But we’re here to tell you that the place to start is active data governance and it doesn’t require you to reinvent the wheel or scramble for every nickel and dime in your budget. The key: active data governance. Having a strong data governance framework is critical for advancing as a data-enabled enterprise. Wasted investment.

Government 52

Government Metadata Compliance Digital transformation 52

Collibra

AUGUST 14, 2023

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

Government 52

Government Risk Financial Services Compliance 52

erwin

MARCH 8, 2019

This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in …. Therefore, organizations need the ability to manage any data from anywhere, what we call our “any-squared” (Any 2 ) approach to data governance.

Government 65

Government Metadata GDPR Compliance 65

AIIM

APRIL 27, 2021

Lower Security and Compliance Risk – the heightened classification and organization features of most cloud content platforms automatically ensure governance and regulatory protocols. Step 1: Improve Content Metadata. High-quality metadata is essential to improving search results. How can you achieve these lofty goals?

Cloud 190

Cloud ROT Metadata Content services 190

erwin

JUNE 26, 2020

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. Three Types of Metadata in a Data Catalog. Technical Metadata. Operational Metadata. for analysis and integration purposes).

Metadata 132

Metadata Unstructured data Compliance Sales 132

erwin

DECEMBER 3, 2020

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change.

Metadata 141

Metadata Artificial Intelligence Government Digital transformation 141

Collibra

DECEMBER 13, 2022

The integrations between Snowflake and Collibra were born of an understanding that shared customers benefit by having a more tightly integrated experience with end-2-end data governance by discovering, augmenting, protecting and monitoring data. It is intended to whet your appetite and enliven ideas for the new year!

Government 52

Government Metadata Sales Cloud 52

Collibra

OCTOBER 22, 2020

Most data and IT leaders know that their organizations need data governance to stay afloat in the current market landscape. In order to implement data governance, your organization needs to see that there is value in embarking on the journey. How to build a data governance business case. Protect the business (risk focused).

Government 59

Government Marketing Communications Risk 59

erwin

MARCH 30, 2020

Managing and Governing Data From Lots of Disparate Sources. This data will be collected from organizations such as, the World Health Organization (WHO), the Centers for Disease Control (CDC), and state and local governments across the globe. Unraveling Data Complexities with Metadata Management.

Metadata 122

Metadata IT Healthcare Government 122

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Government 40

Government Metadata Risk Compliance 40

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. It is an imperative.

Data science 72

Data science Artificial Intelligence Metadata Compliance 72

Collibra

NOVEMBER 20, 2020

So your team has identified implementing data governance as a priority for the year. But what happens once you purchase a data governance platform? This article is meant to outline the vital steps for implementing data governance. Why a data governance roadmap is vital. 10 steps to successful data governance.

Government 52

Government Education Communications Metadata 52