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11 Data assets are owned by the enterprise and controlled by CEOs, enabled and supported by information technologists in accordance with smart data strategy Does the enterprise have a policy and strategy for smart data management that addresses the subject from the CEO to the enterprise It begins with plain business language While our book is careful not endorse any vendor, in researching enterprise data policy we discovered an announcement from Tizor Systems Corporation, a leading provider of enterprise database monitoring and protection solutions for the data center On September 9, 2008 it was announced that the United States Patent and Trademark Of ce awarded the company a new patent (US Patent Number 7,415,719) The patent is for the rst comprehensive data auditing policy framework that integrates easy to understand English-like rules and templates with behavioral analytics to detect and prevent data theft and data breach in real time While this technology is more narrowly focused than a broad enterprise policy, it serves to note that technology rms are addressing the topic in practical ways 12 Smart data strategy is unique to the enterprise as it is a matter of degree Smart data strategy has the potential for competitive advantage, and conversely, it may be a factor in competitive disadvantage Because smart data strategy is rooted in leveraging open standards, the competitive baseline is neutral However, the degree to which an enterprise pursues strategy implementation among its trading partners provides a measure of competitive advantage with regard to depth and breadth of strategy implementation 13 Problems and symptoms are visible that can be mitigated through smart data strategy, such as enterprise data being contained in a myriad of places and systems Data analysts are assigned to obtain and interpret the data and this takes a signi cant investment of time and resources No one is really sure about the ratio of results to investment Improvement comes from becoming more precise and speci c about how data impacts and is used by the enterprise Business intelligence (BI) is a term that has been in use at least since the late 1950s, referring to the basis for decision support Today, BI is associated with decision support systems (DSSs) that are, of course, data driven This subject includes data warehouses and data marts as the place where data resides However, the smart data paradigm connotes more dispersed data and the technological means of pulling data from distributed places for the purpose of answering questions in real time Performance management and optimization require realtime responsiveness combined with enabling modeling, simulation, and prediction Furthermore, BI is the data store for benchmark performance data 14 An organization can have an excessively large IT footprint, though no one knows for certain Indications are that IT footprints for mature organizations are too large or excessive The reasons for this come from the fact that systems have evolved. azure pdf generation Cognitive Services – Optical Character Recognition ( OCR ) from an ...
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