IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

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. So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70

Risk Modeling Management Metadata 70

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

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. Lack of a solid data governance foundation increases the risk of data-security incidents. Data Security Starts with Data Governance.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

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. It is an imperative.

Metadata 97

Metadata Risk Management Risk Experimentation 97

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

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JULY 8, 2022

Integrating Risk and Security Certification. The Open Group also offers the Integrating Risk and Security Certification , which validates that you understand several security and risk concepts as they apply to enterprise architecture. The English TOGAF Business Architecture Level 1 exam is priced at US$315.

Risk Management 105

Risk Management Risk Enterprise Metadata 105

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 Key Performance Indicator Data Governance Data Quality 111

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

Smart Data Collective

AUGUST 14, 2022

In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. When the people responsible for managing data transit know its course and actions, it’s easier to protect PII and IP. Building a DLP Plan.

Risk 139

Risk Cost-Benefit Reporting Software 139

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

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

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. An enterprise architect is now required to understand improved value through many different aspects of the business, including profits and loss, share value, risk, sales, customers and products, to name a few. Digital Transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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 Risk Management 89

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

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

erwin

OCTOBER 3, 2019

As a matter of fact, Gartner has said that EA is becoming a “form of internal management consulting” because it helps define and shape business and operating models, identify risk and opportunities, and create technology roadmaps to suit. Supporting the creation of actionable, signature-ready EA deliverables.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

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

CIO Business Intelligence

SEPTEMBER 23, 2022

This model has the highest level of security risk due to the volume of data and access. True Sovereign Clouds require a higher level of protection and risk management for data and metadata than a typical public cloud. An organization may host some services in one cloud and others with a different provider.

Data Processing 98

Data Processing Metadata Cost-Benefit Risk Management 98

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. This solution is designed to include everything needed to develop a consistent transparent model management process. It is an imperative.

Metadata 71

Metadata Risk Experimentation Dashboards 71

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. Put simply, consumers trust banks to keep their money safe and return the money when requested.

Risk 68

Risk Risk Management Reporting Metadata 68

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

DECEMBER 4, 2023

IBM’s governance framework is built around four core roles within the company: The Policy Advisory Committee: senior global leaders who provide oversight of the AI Ethics Board and help to establish the company’s strategy and risk tolerance. It helps accelerate responsible, transparent and explainable AI workflows.

Consulting 74

Consulting Risk Metadata Risk Management 74

TDAN

APRIL 20, 2021

Modern airplanes travel the world through all kinds of weather via the use of radar. Oxford Dictionary defines radar as “a system for detecting the presence, direction, distance and speed of an object. Radar is used to indicate there is something that has not yet come to the attention of a person or a group.” […].

Risk 52

Risk Risk Management Metadata Data Governance 52

Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . The Basel III framework, as well as Basel IV, call for regulation changes in multiple areas, including: Credit risk.

Management 52

Management Risk Management Risk Visualization 52

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. Inaccurate Data Management Leads to Financial Collapse. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

CIO Business Intelligence

APRIL 28, 2023

This model has the highest level of security risk due to the volume of data and access. True sovereign clouds require a higher level of protection and risk management for data and metadata than a typical public cloud. Multi-cloud – using multiple public clouds to take advantage of different features.

Data Processing 69

Data Processing Metadata Cost-Benefit Risk Management 69

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

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. Manage Regulation, Manage Risk. 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

IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI.

Risk Management 52

Risk Management Risk Metadata Modeling 52

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

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

Alation

NOVEMBER 30, 2021

These laws must be cross-referenced and mapped to risk-related controls and procedures. Consolidate Risk Initiatives. This means data protection and risk mitigation must be promoted and consolidated with other enterprise risk management processes. All three risk functions should be aligned.

Data Governance 52

Data Governance Risk Management Risk Enterprise 52

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. Your model risk management team, IT operations team and line-of-business employees also need appropriate access.

Metadata 56

Metadata Machine Learning Data-driven Data Science 56