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 89

Data Architecture Data Strategy Risk Management Strategy 89

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

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

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

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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

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 Business Objectives Consulting 142

CIO Business Intelligence

APRIL 16, 2025

The enterprise architects wide range of concerns An enterprise architects work extends beyond just designing systems; it involves addressing various concerns and trade-offs that span the IT landscape, technology stack, business objectives and operational needs.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

CIO Business Intelligence

MAY 16, 2025

Organizations need to define clear policies covering responsibility, explainability, accountability, data management practices related to privacy and security and other aspects of operational risks and opportunities, Podnar says. Policies need to have enforcement mechanisms that are understood by users.

Risk 89

Risk Data-driven Modeling Enterprise 89

CIO Business Intelligence

APRIL 29, 2025

Rather than a knight in shining armour, the DPO should be viewed as a strategic risk manager and business enabler. Effective DPOs will balance compliance requirements with business objectives, facilitating responsible data innovation rather than simply implementing restrictions.

Risk 72

Risk Gap analysis Risk Management Strategy 72