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

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

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 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

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

SEPTEMBER 20, 2022

This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle. Your model risk management team, IT operations team and line-of-business employees also need appropriate access.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

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.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Understanding how certain types of events have historically affected their stock prices can guide future business decisions and communication strategies.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

erwin

OCTOBER 3, 2019

Of course, enterprise architecture can’t sit at the strategy table without results. Following are what we believe to be the top three benefits of enterprise architecture: Manage complexity. But to mature the practice, organizations should implement an EA tool with a shared, centralized metadata repository and role-based access.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Strategies for measuring value and prioritizing data products are explored later in this post.

Management 79

Management Risk Measurement Optimization 79

Ontotext

MAY 5, 2023

For example, they can detect hidden relationships between entities, suggest suspicious transactions or identify investment strategies or opportunities. For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Grooper

OCTOBER 23, 2019

Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? Leadership is championing information management best practices, and we’re leveraging data for enhanced analytics and fueling innovation. Articulating strategy in terms of business outcome is key. Governance.

Metrics 59

Metrics Measurement Strategy Optimization 59

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.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Octopai

FEBRUARY 21, 2022

But since lucky stars are generally frowned upon as a risk management strategy, we highly recommend you plan out your cloud migration process. An automated data catalog will not only self-create but will also self-update, routinely reviewing all metadata within your data landscape and updating your data catalog accordingly.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Value Management or monetization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

FEBRUARY 8, 2023

AI requires AI governance , not after the fact but baked into AI strategy of your organization. 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.

Risk Management 52

Risk Management Risk Modeling Metadata 52

Smart Data Collective

AUGUST 14, 2022

Implementing robust DLP software is just one step of a comprehensive data protection strategy. The most successful DLP strategies compile tech, educated staff, process controls, and company awareness. Evaluate data types of value to the company and identify their relevance; evaluation helps store the data respectful to its sensitivity.

Risk 123

Risk Cost-Benefit Software Reporting 123

Alation

DECEMBER 8, 2022

Data Governance: Not Just a Defensive Strategy. At the risk of introducing yet another data governance definition, here’s how Forrester defines the term: A suite of software and services that help you create, manage, and assess the corporate policies, protocols, and measurements for data acquisition, access, and leverage.

Data Governance 52

Data Governance Data-driven Strategy Risk 52