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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

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.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

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.

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Building cyber resiliency for your data with IBM FlashSystem

IBM Big Data Hub

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 86
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Generative AI – How to Care For, and Properly Feed, Chatty Robots

Ontotext

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
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Building a Data Strategy for Defence Partners

Alation

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?

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

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.

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The Third Pillar of Data Culture: Data Governance

Alation

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.