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 IoT 89

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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

erwin

OCTOBER 17, 2019

it ensures not only access to proper documentation but also current, updated information. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Data Governance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

APRIL 29, 2020

In the event of a change in data expectations, data lineage provides a way to determine which downstream applications and processes are affected by the change and helps in planning for application updates. Business terms and data policies should be implemented through standardized and documented business rules.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

DECEMBER 19, 2023

Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

SEPTEMBER 17, 2024

Sponsor for operational and risk management solutions While many business risk areas will find sponsors in operations, finance, and risk management functions, finding sponsors and prioritizing investments to reduce IT risks can be challenging.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

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 89

Metadata Risk Management Business Intelligence Data Governance 89

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 137

IT Risk Cost-Benefit Data Science 137

Cloudera

AUGUST 12, 2021

In a 2021 white paper titled “Data Excellence: Transforming manufacturing and supply systems“ written by the World Economic Forum and the Boston Consulting Group, it documented that 75% of executives interviewed believed that advanced analytics in manufacturing was more important today than three years ago. Risk Management.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

CIO Business Intelligence

MAY 13, 2024

watsonx.governance is a toolkit for governing generative AI and machine learning models. It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. Artificial Intelligence, Data Governance, Generative AI, IBM

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

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

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

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

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

IBM Big Data Hub

MAY 28, 2024

Typically, authorized users only perform decryption when necessary to ensure that sensitive data is almost always secure and unreadable. Data risk management To protect their data, organizations first need to know their risks. Additionally, some data protection laws and regulations require them.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

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.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

bridgei2i

NOVEMBER 25, 2020

When it comes to using it in an enterprise, semantic search is used to identify the knowledge graphs and help find the data the employees are looking for. It streamlines data flow throughout the enterprise and brings flexibility to the system. Augmented Classification of Data. Automation and Data Governance.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

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. With the power to investigate an asset’s entire history, folks can understand their data entirely.

Finance 52

Finance Data Transformation Enterprise Metrics 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. Creating a clear process with documented steps will help.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 98

Management Risk Measurement Optimization 98

Grooper

OCTOBER 23, 2019

Lack of competitiveness or business losses seem to be the main drivers to becoming more proactive with data governance and management. What you’re shooting for is enterprise-wide information governance. Responsibility for managing your company’s data must be clearly defined and supported. Governance.

Metrics 59

Metrics Measurement Data-driven Strategy 59

IBM Big Data Hub

JULY 7, 2023

Create an incident response plan , a written document that details how you will respond before, during and after a suspected or confirmed security threat. Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks. Establish a cybersecurity policy.

Risk 40

Risk Data Governance Data Lake Data-driven 40

CIO Business Intelligence

OCTOBER 9, 2024

That means considering their risk appetite, risk management maturity, and generative AI governance framework.” These customers might attach PDFs, spreadsheets, image files, or other types of documents to an email, for example, or paste the purchase order right into the body of the email. The ‘just right’ for them.

Risk 137

Risk Risk Management Technology Marketing 137

erwin

JUNE 14, 2019

Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. Four main areas in retail demonstrate digital transformation, with a healthy data governance initiative driving them all. Data can tell you. Risks come with any investment.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

CIO Business Intelligence

OCTOBER 2, 2024

Data governance Strong data governance is the foundation of any successful AI strategy. It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Corinium

APRIL 25, 2019

For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Data-driven 150

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. Give guidance to governments, health professionals and the public. Clearly Document Data Policies and Rules.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. Give guidance to governments, health professionals and the public. Clearly Document Data Policies and Rules.

Measurement 96

Measurement Sales Data Governance Metadata 96

IBM Big Data Hub

MAY 14, 2024

Don’t be afraid to reframe transparency from simply documenting the choices made after the fact to seeking public input beforehand. Review frameworks and assessment tools so you have a clear indication of any strengths and weaknesses that will impact your ability to implement AI tools and help with associated risks.

Risk 83

Risk Risk Management Measurement Strategy 83

CIO Business Intelligence

MAY 14, 2025

The collision of traditional EA with cognitive-driven data architectures Enterprise architecture has a storied history of providing organizations with a structured methodology for aligning IT systems with business goals, focusing on standardized business processes, data governance and technology stacks.

Enterprise 115

Enterprise Data Architecture Data-driven Data Quality 115

CIO Business Intelligence

MAY 19, 2025

Continuous monitoring and robust error handling, including making compensating adjustments when detected or through human oversight Data governance. Access control, anonymization strategies and safe harbor approaches help ensure compliance even when agents are cross-referencing multiple data sources. Industry standards.

Enterprise 77

Enterprise Risk Software Data-driven 77

CIO Business Intelligence

MAY 16, 2025

Make AI policies clear and enforceable Good policies balance out the risks and opportunities that AI and other emerging technologies, including those requiring massive data, can provide, Podnar says. Most organizations dont document their deliberate boundaries via policy, Podnar says.

Risk 89

Risk Data-driven Modeling Enterprise 89

CIO Business Intelligence

APRIL 29, 2025

Finally, they must maintain comprehensive documentation of compliance efforts and decision-making processes. Rather than a knight in shining armour, the DPO should be viewed as a strategic risk manager and business enabler. Thirdly, stakeholders need to engage in regulatory conversations.

Risk 72

Risk Risk Management Gap analysis Strategy 72