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

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

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

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 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

Cloudera

FEBRUARY 4, 2021

Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Supporting the industry’s risk data depository and data management needs. Shared Data Experience (SDX).

Risk 88

Risk Marketing Technology Management 88

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

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

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

IBM Big Data Hub

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change?

Risk 69

Risk Risk Management Reporting Metadata 69

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

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

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

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 131

IT Risk Cost-Benefit Risk Management 131

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. These models are then used for anomaly detection or inferences about what will happen. . MetLife then reaches out to specific drivers to urge them to take precautions. . Conclusion.

Data-driven 110

Data-driven Manufacturing Insurance Risk Management 110

IBM Big Data Hub

JUNE 29, 2023

Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities. By analyzing data and conducting what-if analyses, companies can develop contingency plans and mitigate risks before they materialize.

Key Performance Indicator 78

Key Performance Indicator Forecasting Data Integration Sales 78

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

FineReport

APRIL 9, 2024

Financial Services Optimization : In the financial services sector, a major institution leveraged a sophisticated BI platform to analyze market trends, customer behavior, and risk management strategies. 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

Octopai

JANUARY 19, 2020

It will not surprise you to learn all 11 of the bank-relevant principles are related to data in some form or fashion. Here’s a sampling: – Principle 1 covers data governance, including “a firm’s policies on data confidentiality, integrity, and availability, as well as risk-management policies.”.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

Laminar Security

DECEMBER 22, 2023

Implementing DSPM for cost reduction Effective implementation of Data security posture management (DSPM) can drive significant cost reductions in cloud storage by addressing three critical areas: risk management, access governance, and compliance.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

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

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 65

Data Strategy Strategy Enterprise Insurance 65

Cloudera

SEPTEMBER 29, 2021

This data can also provide crucial insights should a disease outbreak occur, allowing for an effective and rapid response to curb further outbreaks. . With the amount of data governments have at their disposal, it is also critical to ensure that there are robust data governance frameworks in place.

Digital Transformation 82

Digital Transformation Data Governance Data-driven Uncertainty 82

erwin

AUGUST 20, 2020

In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. EA provides context and perspective as to how and where data is used, including the applications, policies and processes that leverage it. Application Portfolio Management. Big Data Adoption.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

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

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

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

IBM Big Data Hub

DECEMBER 14, 2023

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur.

Risk 82

Risk Measurement Business Objectives Optimization 82

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

Alation

OCTOBER 26, 2021

They enjoy improved governance, which follows from documenting ownership of business terms and formulas. And, by implementing continuous data reviews, finance teams better support compliance and risk management. In many ways, the catalog is a foundational platform for human collaboration around trusted data.

Finance 52

Finance Data Transformation Enterprise Metrics 52

bridgei2i

NOVEMBER 25, 2020

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

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

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.

Digital Transformation 116

Digital Transformation Strategy Data-driven Data Strategy 116

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 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. If the bank had taken its problems seriously years ago, it could have saved itself lost revenues and a damaged reputation.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

IBM Big Data Hub

JULY 7, 2023

Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks. These include vendors, contractors and other outside individuals with access to your organization’s data.

Risk 40

Risk Data Governance Data Lake Data-driven 40