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Integrating Structured and Unstructured Data; Are we there already?

Everteam

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. After all, they are very different types of information, so they require different technology and governance approaches.

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How to Improve Your Big Data Management

Reltio

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

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Master Data Governance: Comprehensive Guide

Reltio

To create master data that shows connections across functions and provides a clear view of business processes, you need to establish some guidelines and a way to enforce them. That’s called master data governance. . What is master data governance? Why is master data governance important? .

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Data governance use cases – 3 ways to implement

Collibra

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

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Key steps on the road to LGPD compliance

Thales Cloud Protection & Licensing

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. Access to data and visibility provides insights into the locations and types of data held by an organization (Article 50). Reduced Risk of Exposure. How to Fast Track LGPD Compliance.

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The CFO’s role in the age of generative AI

IBM Big Data Hub

The IBM Institute for Business Value CEO study on decision-making in the age of AI found the top priorities for CEOs are technology modernization and productivity, while the three biggest challenges are technology modernization, sustainability and security.

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Data architecture strategy for data quality

IBM Big Data Hub

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.