Business intelligence and analytics : systems for decision support
Sharda, Ramesh
Business intelligence and analytics : systems for decision support - 10th - Chennai Pearson India Education Services Pvt. Ltd 2018 - 686p
A 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.
9789352866489
Business intelligence
Expert systems (Computer science)
Management--Data processing
Decision support systems
658.403 SHA-B
Business intelligence and analytics : systems for decision support - 10th - Chennai Pearson India Education Services Pvt. Ltd 2018 - 686p
A 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.
9789352866489
Business intelligence
Expert systems (Computer science)
Management--Data processing
Decision support systems
658.403 SHA-B