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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). Complexity. Five Steps to GDPR/CCPA Compliance.

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Becoming a Data-Driven Organisation in 4 Steps

Alation

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? Step 1 – Be clear about your business objectives. Being profitable (19 times).

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7 sins of digital transformation

CIO Business Intelligence

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. With generative AI now a firm digital transformation priority , 2023-24 will mark the beginning of an AI-driven transformation era.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

As enablers for the integration of data and business services across platforms, APIs are very aligned with current tech trends,” says Antonio Vázquez, CIO of software company Bizagi. Ajay Sabhlok, CIO and CDO at zero trust data security company Rubrik, Inc.,

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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Bringing an AI Product to Market

O'Reilly on Data

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics.

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