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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity.

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Information Governance Pressure Points – 3 Common Areas of Failure

AIIM

Back in the day, when work was centralized in locations and on devices “within” the enterprise, it was reasonable to assume that control could most effectively be maintained by managing security at the firewall. Information security was largely a function of “keeping the bad guys out.”. Information “end points”. Policy administration.

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The Necessity of Data Security: Recapping the 2019 Thales Data Security Summit

Thales Cloud Protection & Licensing

Digital transformation is driving IT modernization, IoT, and cloud migrations at a record pace in the federal government. The ability to narrow the gap between taking advantage of digital transformation without compromising security was a reoccurring theme at our 2019 annual Data Security Summit on May 1.

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7 founding principles for adaptive data and analytics governance

Collibra

Although the enterprise demands business growth through digital transformation and optimization, the enterprise also constantly experiences challenges due to the lack of modern data and analytics governance. In fact, according to Nasdaq , 80% of analytics projects fail because of poor data governance. Risk and security.

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Federal cybersecurity: breaking down the barriers to adoption

Thales Cloud Protection & Licensing

Over the last two election cycles, we’ve seen an increased focus on election security, hacking and fraud. While many state and government officials are under no illusion that they are safe from a digital attack, concern should run deeper than election integrity. Security measures continue to be more reactive than proactive.

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CIPL Organizes Webinar on EU Approach to Regulating AI and Regulatory Experimentation

Hunton Privacy

Tudorache opened the Roundtable by underscoring the need for states and governments to be up to the task of effective lawmaking that enables both innovation and social order, especially in this era of fast digital transformation. In closing remarks, Drago?

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

However, challenges persist if your organization doesn’t take proper precautions in supporting a remote workforce — from human resources to productivity and IT security – especially when regulations such as the European Union’s General Data Protection Regulation (GDPR) are involved.