erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

JUNE 19, 2023

Catalogs also allow for better Risk Management; data catalogs help businesses maintain regulatory compliance by providing a clear record of what data is stored and how it’s used. Automate Metadata Capture Leverage metadata management tools like Octopai to automate the process of capturing metadata from various sources.

Metadata 98

Metadata Data Governance Measurement Risk Management 98

erwin

SEPTEMBER 17, 2020

For example, capital markets trading firms must implement data lineage to support risk management, data governance and reporting for various regulations such as the Basel Committee on Banking Supervision’s standard number 239 (BCBS 239) and Markets in Financial Instruments Directive (MiFID II).

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

APRIL 29, 2020

An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners? What are the transformation rules? Data Governance. The post What is Data Lineage?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. Everything needed to develop a consistent transparent model management process is included in IBM AI Governance. Risk Management: Manage risk and compliance to business standards, through automated facts and workflow management.

Metadata 97

Metadata Risk Management Risk Experimentation 97

erwin

JANUARY 23, 2025

IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to data governance, data quality, metadata management and more. and/or its affiliates in the U.S.

Metadata 52

Metadata Data Quality Data Governance Software 52

erwin

SEPTEMBER 3, 2020

Documenting data in motion looks at how data flows between source and target systems and not just the data flows themselves but also how those data flows are structured in terms of metadata. We have to document how our systems interact, including the logical and physical data assets that flow into, out of and between them.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

APRIL 2, 2021

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, management and governance issues that must be addressed. From risk management and regulatory compliance to innovation and digital transformation, you need data intelligence.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

Smart Data Collective

OCTOBER 28, 2020

Many healthcare organizations also retain data for future research into care improvements or related projects, in which case it’s critical to ensure that when you decommission a data system , you also export and appropriately store any associated metadata. Consider, for example, an old piece of software used to manage healthcare data.

Cost-Benefit 137

Cost-Benefit Risk Metadata Big Data 137

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured.

Data Governance 89

Data Governance Metadata Data Quality IoT 89

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

JULY 8, 2022

The certification covers important security and risk concepts as they relate to the TOGAF ADM, information security management, enterprise risk management, other IT security and risk standards, enterprise security architecture, and the importance of security and risk management in an organization.

Risk Management 105

Risk Management Risk Enterprise Metadata 105

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. Business-driven applications also will be deployed through the EA repositories, which contain a wealth of information, such as strategies, processes, peoples and skills, locations, working practices, metadata, applications and technologies. Cloud Migration.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

SEPTEMBER 23, 2022

True Sovereign Clouds require a higher level of protection and risk management for data and metadata than a typical public cloud. Metadata, or information about the data such as IP addresses or host names, must be protected along with the data itself.

Data Processing 98

Data Processing Metadata Cost-Benefit Risk Management 98

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Capture and document model metadata for report generation.

Risk 70

Risk Modeling Management Metadata 70

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 72

Risk Management Risk Machine Learning Dashboards 72

erwin

APRIL 4, 2019

In most cases, a new data governance framework requires people – those in IT and across the business, including risk management and information security – to change how they work. Any concerns they raise or recommendations they make should be considered. You can encourage feedback through surveys, workshops and open dialog.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

IBM Big Data Hub

MAY 9, 2023

This solution is designed to include everything needed to develop a consistent transparent model management process. The resulting automation drives scalability and accountability by capturing model development time and metadata, offering post-deployment model monitoring, and allowing for customized workflows.

Metadata 71

Metadata Risk Experimentation Dashboards 71

IBM Big Data Hub

APRIL 20, 2023

This level of visibility also helps ensure that changes made over time don’t introduce new risks into the organization, can make it easier for banks to stay within regulatory guidelines, and helps ensure banks can respond quickly to changing business needs.

Risk 68

Risk Risk Management Reporting Metadata 68

IBM Big Data Hub

DECEMBER 4, 2023

Its toolkit automates risk management, monitors models for bias and drift, captures model metadata and facilitates collaborative, organization-wide compliance. It helps accelerate responsible, transparent and explainable AI workflows.

Consulting 74

Consulting Risk Metadata Risk Management 74

erwin

OCTOBER 3, 2019

But to mature the practice, organizations should implement an EA tool with a shared, centralized metadata repository and role-based access. Those include support for industry standard frameworks and notation, the ability to perform impact analysis and the streamlining of systems and applications.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

Smart Data Collective

AUGUST 14, 2022

Most DLP solutions offer tools to scan file metadata, catalog the results, analyze the files’ content, and estimate the associated risk with each data type. Evaluate data types of value to the company and identify their relevance; evaluation helps store the data respectful to its sensitivity.

Risk 139

Risk Cost-Benefit Reporting Software 139

Octopai

JULY 12, 2020

With Octopai’s suite of metadata management tools in place, the BI team had a central location for data lineage. We now get the benefit of proliferated data quality.” – Andrew Stewardson, Data Risk Manager, FCSA. Automated Data Lineage & Discovery Provides Enterprise-Wide Benefits.

Data Warehouse 84

Data Warehouse Data Quality Metadata Risk Management 84

CIO Business Intelligence

APRIL 28, 2023

True sovereign clouds require a higher level of protection and risk management for data and metadata than a typical public cloud. Metadata, or information about the data such as IP addresses or host names, must be protected along with the data itself.

Data Processing 69

Data Processing Metadata Cost-Benefit Risk Management 69

AWS Big Data

MARCH 27, 2023

Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. Tags can also improve transparency and map costs to specific teams, products, or applications.

Data Warehouse 91

Data Warehouse Management Snapshot Data Lake 91

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. Automated Data Lineage Ends BI Chaos Download our whitepaper to learn how!

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

Octopai

JUNE 16, 2021

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. Credit Risk Management and Basel III. Operational risk management. Let’s take a look at how and why.

Management 52

Management Risk Management Risk Visualization 52

Alation

MARCH 14, 2023

All critical data elements (CDEs) should be collated and inventoried with relevant metadata, then classified into relevant categories and curated as we further define below. Store Where individual departments have their own databases for metadata management, data will be siloed, meaning it can’t be shared and used business-wide.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. “Everything starts by answering basic questions,” says Wayne Anderson, Principal, Security Architect, Microsoft.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

IBM Big Data Hub

FEBRUARY 8, 2023

Automate the capture of model metadata and increase predictive accuracy to identify how AI is used and where models need to be reworked. Risk management Automate model facts and workflows for compliance to business standards. identify, manage, monitory and report on risk and compliance at scale.

Risk Management 52

Risk Management Risk Metadata Modeling 52

AWS Big Data

JULY 16, 2024

Priority 2 logs, such as operating system security logs, firewall, identity provider (IdP), email metadata, and AWS CloudTrail , are ingested into Amazon OpenSearch Service to enable the following capabilities. Previously, P2 logs were ingested into the SIEM.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84