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020 _a9789352866489
041 _aeng
082 _a658.403 SHA-B
100 _aSharda, Ramesh
_976664
245 _aBusiness intelligence and analytics
_b: systems for decision support
250 _a10th
260 _aChennai
_bPearson India Education Services Pvt. Ltd
_c2018
300 _a686p
520 _aA comprehensive guide to modern management support system technologies. The book focuses on how enterprises can leverage Business Intelligence (BI) and various forms of analytics to improve decision-making processes in a complex business environment. The book is structured into five primary parts that mirror the evolution and application of analytics in business: Part I: Decision Making and Analytics Overview Introduces the foundations of managerial decision-making and how computerized systems (DSS and BI) support these processes to bridge the gap between current and desired performance. Part II: Descriptive Analytics Focuses on "what is happening" through technologies like Data Warehousing, business reporting, and visual analytics (dashboards) to monitor business performance management (BPM). Part III: Predictive Analytics Explores "what is likely to happen" using data mining, predictive modeling, and advanced techniques like text, web, and social media analytics. Part IV: Prescriptive Analytics Covers "how to make the best of it" through model-based decision-making, optimization, simulation, and automated expert systems. Part V: Big Data and Future Directions Discusses the impact of Big Data (volume, variety, velocity) and emerging trends like the Internet of Things (IoT) on future business analytics.
650 _aBusiness intelligence
_976703
650 _aExpert systems (Computer science)
_976704
650 _aManagement
_xData processing
_976705
650 _aDecision support systems
_976706
700 _aDelen, Dursun
_976669
700 _aTurban, Efraim
_917397
700 _aAronson, J. E.
_976670
700 _aLiang, Ting-Peng
_976671
700 _aKing, David
_976672
942 _cBK
999 _c199922
_d199922