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The journey can take many paths.
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One might be to use AI for enhanced product and service innovation.
Another could involve harnessing data to increase operational efficiency or enhance risk management.
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Ideally, these paths will converge for a comprehensive, data-driven map that helps everyone across the organization work towards shared business goals.
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However, many firms are heading towards a more fragmented picture.
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They’re working with substantial technology debt, with parts of the business operating at different levels of IT maturity. Roles like chief data officer have emerged, along with governance structures to help tackle the problem. Unfortunately, these are also often poorly integrated with technology and engineering issues across the enterprise. As a result, time and money are invested in repeated projects that use the same data for different use cases, departments, or geographies. Crucially, this approach also makes
it increasingly difficult to grasp the possibilities that emerge where those use cases, departments, and geographies intersect. It’s time for a rethink. Since the opportunities brought by technology don’t respect organizational boundaries, neither should data strategy. Only a unified strategy will allow an integrated approach that addresses every dimension – from the cost of ownership to engineering capabilities, people, processes, and governance.
A UNIFIED STRATEGY UNLOCKS VALUE Enterprises in every industry are on a transformation journey, keen to take advantage of the opportunities presented by data and disruptive technologies.
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Volume 8 ai:sight by Fractal
ai:sight by Fractal Volume 8
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