Section 16 – Preparing for AI Enabling AI comes with prerequisites. There must be strong executive sponsorship and a clear…
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Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI). It is used to discover deeper insights, make predictions, or generate recommendations.
As more and more organizations continue to embrace cloud technology, CFOs and CIOs are grappling with an existential cloud question.…
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Section 15 – Why AI and Why Now? Analytics capabilities provide us with the real insight we need to guide…
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Automation, data analysis, and customer service management have become integral elements of businesses worldwide. AI tools play an essential role…
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Many business leaders and managers often consider their fields quite different from each other. Leadership is usually considered a soft…
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Section 14 – Future-proofing Your Data Architecture We already touched on the need for a data architecture to be flexible,…
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Section 13 – The Role of Governance If we look at data architecture as a blueprint for a building, governance…
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Data management and analytics have become crucial for businesses globally despite their expenses. Many companies have mentioned that downtime costs…
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Data science has been an integral element of digital disruption in the past few years. It has helped businesses develop…
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Section 12 – Begin with the End in Mind Simply put, data architecture is the blueprint for managing an organization’s…
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