The Disruptive Analyst

                              Welcome back to the expository series on data assets and data governance! In my previous article, we learned about v alue-added data assets   and how and why you have to manage them strategically.In this episode, I discuss how these assets can be transformed for competitive enterprise capability development. Before delving into capability development from data assets   management, an important distinction claim attention here and needs to be delineated. That is between info quality and data quality , even though the two are used interchangeably , the former has user quality (known as information consumer) as its focus .The first major strategy shift required here is viewing information as a product to be managed as against limiting to data quality in databases and data-warehouses. Two models are considered industry standard for structuring the quality assur...

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...