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What is a Chief Data Officer and Why Are Enterprises Seeking Them | Simplilearn

Simplilearn

Rapid advancements in data extraction and technology mean information technology (IT) is changing at increasing speeds, too.

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Three Tips to Smarten Your Digital Transformation Strategy

Dataversity

The COVID-19 pandemic accelerated organizations’ digital transformation efforts, regardless of whether they were ready for it or not. Now, as businesses have adjusted their plans to factor in the ongoing effects of the pandemic, digital transformation has become not just a business initiative, but one of high priority.

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CDOs Can Lead Their Organizations in the Successful – and Ethical – Use of Data

Dataversity

Data plays a central role in digital transformation. In fact, it’s been referred to as the currency of modern, digital business. Without data, companies lack a true understanding of their customers, markets, trends, and even their own products and employees.

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Adopting a Data Culture: Four takeaways from a conversation with public sector leaders

Tableau

This post draws on a conversation I had during the 2021 Tableau Government Summit with Josh Martin, Chief Data Officer at the State of Indiana, Drew Erdmann, Chief Operating Officer at the State of Missouri, and Nick Speece, Chief Federal Technologist at Snowflake. EVP of Marketing, Tableau. April 7, 2021.

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What Can Enterprise IT Leaders Expect in 2022?

Dataversity

During this time, IT leaders’ mindset around digital transformation shifted from being […]. The post What Can Enterprise IT Leaders Expect in 2022? appeared first on DATAVERSITY.

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Data trends that will impact you in 2022

Tableau

Changes to the way we live, connect, communicate, and work has forced every person and organization to become even more digital and data-driven than ever before. The world is increasingly data-driven, creating a global demand for data skills.

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Achieve AI success with a people-first data strategy

Tableau

As the pandemic has accelerated digital transformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. For this reason, AI projects need the domain experience of people who know your business and who can frame the data and AI results in the right context.