A platform for situational awareness in operational BI |
Abstract:
Enterprises are being swamped with data, and much of it is unstructured in origin. As these data volumes forunstructured data increase, there is a need to extract more value fromthem. For the purpose of gaining businessinsight, besides traditional text mining, we need capabilities to correlate unstructured data emanating fromdifferent sources. An important instance of this is the capability to correlate streaming unstructured web datawith internal document data in near real time, which can give enterprises significant tremendous competitiveadvantage by enabling them to be aware of external events that can affect their business operations. This situationalawareness gives business managers the opportunity to make informed operational decisions before it istoo late. SIE-OBI is a platform being developed at HP Labs that responds to this need. In this paper, we describeSIE-OBI and illustrate its use via an application that provides awareness of events described in news articles thatcould affect the contracts of an enterprise. We present the main components of the platform architecture andillustrate their functionality to our contractual situational awareness scenario. |
| Keywords: |
Information extraction Correlation Unstructured data Streaming data Real-time Business intelligence Situational awareness |
| Author(s): |
Malu Castellanos , Chetan Gupta, Song Wang, Umeshwar Dayal, Miguel Durazo |
| Source: |
Decision Support Systems 52 (2012) 869–883 |
| Subject: |
فناوری اطلاعات |
| Category: |
مقاله مجله |
| Release Date: |
2012 |
| No of Pages: |
15 |
| Price(Tomans): |
0 |
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بر اساس شرایط و ضوابط ارسال مقاله در سایت مدیر، این مطلب توسط یکی از نویسندگان ارسال گردیده است. در صورت مشاهده هرگونه تخلف، با تکمیل فرم گزارش تخلف حقوق مؤلفین مراتب را جهت پیگیری اطلاع دهید.
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