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What is COBIT? A framework for alignment and governance

CIO Business Intelligence

Difference between COBIT 5 and COBIT 2019 COBIT 5 was released in 2012, but by 2019 a lot of changes were introduced around compliance and regulation standards in the industry, most notably the adoption of the European GDPR framework for data protection laws. COBIT 4 was released in 2005, followed by the refreshed COBIT 4.1

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

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How Data Ethics Supports Governance & Monetisation

Alation

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. I asked attendees: How often do you think about data ethics? What does data ethics mean to you?

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A perfect match: How tech promoted a small soccer team to the top

CIO Business Intelligence

Thanks to this injection of capital, which allowed it to improve its squad through new hires, Hoffenheim finally reached the Germany’s first division in the 2007-2008 season. Artificial Intelligence, Business Intelligence, Cloud Management, Data Management, Digital Transformation, IT Leadership, SAP

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. This critical capability propels organizations forward in today's digital-first era.

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications.