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.

Data Governance 105

Data Governance Metadata Risk Data Lake 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. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Strengthen data security. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Risk 86

Risk Marketing Technology Management 86

CIO Business Intelligence

DECEMBER 19, 2023

Not surprisingly, nearly 50% of respondents identified data quality as the top challenge in realizing the potential of generative AI, which requires increasing the scope of dataops and data governance programs to include unstructured data sources and defining where to apply them in LLM experiments.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Risk Management 137

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 74

Risk Risk Management Reporting Metadata 74

erwin

OCTOBER 17, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning. Data governance. GDPR, HIPAA, SOX, CCPA, etc.)

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

Laminar Security

DECEMBER 22, 2023

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

erwin

JUNE 14, 2019

Four main areas in retail demonstrate digital transformation, with a healthy data governance initiative driving them all. Data can tell you. This article further explores digital transformation and data governance in retail. Digital Transformation in Municipal Government. Risks come with any investment.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

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

IBM Big Data Hub

DECEMBER 14, 2023

To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. Our approach to cyber resiliency Risk assessment and strategy : IBM emphasizes the importance of conducting a thorough risk assessment to identify vulnerabilities and potential threats.

Risk 86

Risk Measurement Business Objectives Optimization 86

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. One of the more obvious use cases of data’s role in reducing risk is insurance policies. MetLife then reaches out to specific drivers to urge them to take precautions.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. These tools enable the extraction, transformation, and loading (ETL) of data from various sources.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. This framework ensures that data remains accurate, consistent, and secure across all levels of the organization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

erwin

APRIL 29, 2020

For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

erwin

AUGUST 20, 2020

Through effective EA, organizations are better able to identify risks and opportunities, address redundancies and process gaps, and create roadmaps to bridge the gap between the current and desired future state of an organization. Reduced risks and costs. A greater ability to anticipate and manage change. Data Governance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Octopai

JUNE 19, 2023

Everyone has access to the same data and the same understanding of what the data represents, reducing miscommunications and discrepancies. 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.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

TDAN

NOVEMBER 14, 2023

In today’s data-driven world, the terms “data governance” and “data stewardship” have become buzzwords, often thrown around without a clear understanding of their significance. As I define it, data governance is “the […]

Data Governance 52

Data Governance Data-driven Risk Management IT 52

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

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 86

Insurance Risk Management Machine Learning Metadata 86

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

IBM Big Data Hub

JANUARY 19, 2023

They have been exceedingly clear in communicating with consumers what data is collected, why they’re collecting that data, and whether they’re making any revenue from it. They go to great lengths to integrate trust, transparency and risk management into the DNA of the company culture and the customer experience.

Risk Management 62

Risk Management Risk Strategy Data Strategy 62

Cloudera

SEPTEMBER 29, 2021

This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data. This data can also provide crucial insights should a disease outbreak occur, allowing for an effective and rapid response to curb further outbreaks. .

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. Data Center Consolidation. Application Portfolio Management. Data Governance (knowing what data you have and where it is). Digital Transformation. Compliance/Legislation. Artificial Intelligence. Mergers and Acquisitions.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee. Prioritize your investments.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

Alation

OCTOBER 26, 2021

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams. What is most critical to the business?

Finance 52

Finance Data Transformation Enterprise Metrics 52

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 81

Data Architecture Risk Management Risk Management 81

bridgei2i

NOVEMBER 25, 2020

This will also minimize the risk involved in the process. Automation and Data Governance. The process of data classification can be automated to save time and minimize errors. are ways in which enterprise AI tools help handling the vast data and information scattered throughout the enterprise.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

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. The companies in the financial sector have to operate in one of the most regulated business domains.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

IBM Big Data Hub

JULY 7, 2023

Such mobile devices increase risk because they are authenticated and authorized in different ways and introduce new endpoints that need protection from cyber threats. Use dedicated data security software. Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks.

Risk 40

Risk Data Governance Data Lake Data-driven 40

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Alation

MARCH 14, 2023

Some business processes may need reviewing to include data analysis — even going as far as requiring specific data to make a business decision. Govern Data governance models should be flexible and dynamic while proactively addressing risk management and compliance with local and global regulations.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52