Intelligent Enterprise I Want A Reply Post To T

Despite numerous attempts at the definition of Data, Knowledge, and Information, there still seems to be a lack of a complete and clear image of what they are plus the relationships amongst them. Although numerous definitions are relevant, they are not about to be complete. Data is comprised of the basic, general and unrefined information that is unfiltered. Information is data which is much more refined that has moved forth to the point of being useful for some analysis form (Liew, 2017). Knowledge rests in the user and happens when human insight and experience is applied to information and data. Very few people would question the fact that information can be represented as objects outside of the human mind and made tangible.

On the other hand, knowledge is an entity that is much more elusive – while it is seen as an object by some, others regard it as a representation or interpretation that is renegotiated constantly. If data is added, there gets to be both challenging and intricate situation of interrelated and intertwined concepts (Shafiezadeh, 2011). It has been pointed out often that data, knowledge, and information are not the same, but despite definition efforts, the terms are used very casually by researchers. In particular, the terms information and knowledge are interchangeably used often, even though the two entities are not identical.

In regards to information deficiency, many organizations still struggle to get efficient metadata information. Numerous organizations still haven’t addressed their metadata problem, which means inaccurate, erroneous, or missing metadata (Burgin, 2014). The enterprise framework that provides the ability to generate contextual meaning from content, delivering content in context, is needed to overcome the most fundamental flaw caused by the inability to find relevant and accurate information on demand. Information is the lifeblood of an organization and transforms it into an ‘intelligent enterprise’, ensuring integrity and veracity.