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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 98
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.

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3 things CIOs must do now to accurately hit net-zero targets

CIO Business Intelligence

Regardless of whether they take a ‘build on’ or ‘create anew’ approach, CIOs should consider three key actions to meet their sustainability and broader business objectives. In other cases, they’re innovating and creating better solutions by identifying, building, and scaling those technologies to be more sustainable.

Software 105
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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? But at Juice, we’re all about building data products. But at Juice, we’re all about building data products. The key is to balance offense and defense.” Balance is fine.

IT 69
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Bringing an AI Product to Market

O'Reilly on Data

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Conclusion.

Marketing 361