By James A. George, James A. Rodger
The authors suggest realization to clever facts process as an organizing portion of firm functionality optimization. they suspect that “smart facts” as a company precedence may revolutionize govt or enterprise functionality very similar to “six sigma” or “total caliber” as organizing paradigms have performed within the past. This revolution has now not but taken position simply because information traditionally is living within the province of the data assets organization. recommendations that render facts clever are articulated in “technoid” phrases as opposed to the language of the board room. whereas books similar to Adaptive info via Pollock and Hodgson ably describe the present cutting-edge, their inevitably technical tone isn't conducive to company or organisation vast qualitative swap.
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Additional info for Smart Data: Enterprise Performance Optimization Strategy (Wiley Series in Systems Engineering and Management)
Sustaining these items is dependent upon data whose life cycle often outlasts the information technology (IT) paradigm under which it was created. For these reasons, smart data strategy advocates embracing openness and interoperability made possible by a combination of smart application of standards and technology that accommodates natural diversity. It discourages data being held hostage by proprietary software. In what we characterize as the “old paradigm”: People (organizations, corporations, enterprises) seek harmony and integration by imposing rigid standards, forcing strict compliance.
These problems do not stem from a lack of data; they stem from a lack of actionable data. This fact remains in spite of years of advancement in the technology of data. The technology of data is not lacking. What is lacking is an emphasis on data as a corporate and enterprise resource. Service-Oriented Enterprise is a paradigm in which data-focused strategy can ﬂourish when accompanied by the SOA that has been implemented enterprise-wide. Although, the SOA can be implemented at the department level or within a single application or functional domain, the integration of individual SOAs into an enterprise-wide philosophy leads to the SOE paradigm shift.
In fact, the enterprise must be engineered to perform in pursuit of aims that are deﬁned by the chief executive ofﬁcer (CEO) and supported by the executive team. The CEO tweaks and guides staff leadership positions to accomplish priority requirements. First and foremost, the CEO needs and should want greatly improved data and data analytical support in order to optimize enterprise performance. Comparing our brief assumptions with the DoL descriptions, we believe that the CTO position as staffed by the government and by many commercial organizations should not be so tightly coupled with the CIO because much technology is not information technology per se.