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). How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

JULY 23, 2024

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. In many organizations, the velocity to add SaaS and genAI tools is outpacing IT, infosec, and data governance efforts.

Risk 142

Risk IT Risk Management Cost-Benefit 142

CIO Business Intelligence

DECEMBER 10, 2024

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making.

Sales 142

Sales Metrics Data-driven Measurement 142

CIO Business Intelligence

NOVEMBER 19, 2024

“For this reason, many [organizations] establish a specific IT-business alignment forum that directly addresses sharing and collaboration between the key stakeholders,” she says, adding that such a forum should focus on strategic business objectives and what will be required from IT to achieve those goals.

IT 142

IT Strategy Consulting Business Objectives 142

CIO Business Intelligence

OCTOBER 2, 2024

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Cloudera

JULY 29, 2022

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up risk management.

Data Architecture 94

Data Architecture Data Strategy Risk Management Strategy 94

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 78

Risk Measurement Business Objectives Optimization 78