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How to manage data assets for value creation (Part I): The role of data governance

Business processes through their inter-organizational and intra-organizational cross-functional interactions create large-scale information assets. These can be processes that describe workflows, transformations and other maneuvers, and in numerous ways manipulate the data. Each of them leave an imprint and its of vital strategic importance to delineate or govern the trace and access control of those imprints as a cohesive whole in the journey of the asset in its end-to-end lifecycle.So the raw imprint of asset becomes its refined blueprint with added value. In a way, information systems in modern enterprise solutions has to facilitate a data-value view of asset managemen t . In an organizational setting, data governance refers to" the framework and underlying policies of collecting data and governing the ownership and purpose of its usage " .  According to state-of-art research in data management , data-asset value-chain consists of primarily -  Acquisiti...
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Blockchain, multi-agents and dynamic learning in supply chains

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Most of us in the supply chain professional community would not probably escape a day without noticing a story of how the blockchains are the talk of the 'supply chain town', with their ambitious claim to become the most promising step towards attaining the unvanquishable double T's of an agile supply chain network vis a vis traceability and transparency.There are two other wizkids of AI that promise to craft a more dynamic element to the plotline-:  intelligent multi-agents and dynamic learning . Here, I try to sketch a thread on possible interlude among these 3 game-changers in a relatively less explored context. Recently I was going through a research paper which was addressing the problem of supply chain disruption management with multi-agent based framework.Given that the treatment of problem was indeed , I found that the approach was silo-type with agents coordinating across enterprise legacy systems .The entire risk identification approach was centered on KPI benchma...
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Value-added data-asset lifecycle management (Part II) : Enterprise capability development

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