Business intelligence and analytics : systems for decision support
Material type:
TextLanguage: English Publication details: Chennai Pearson India Education Services Pvt. Ltd 2018Edition: 10thDescription: 686pISBN: - 9789352866489
- 658.403 SHA-B
| Item type | Current library | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Computer Science and Engineering | 658.403 SHA-B (Browse shelf(Opens below)) | Available | 102710 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Computer Science and Engineering | 658.403 SHA-B (Browse shelf(Opens below)) | Available | 102711 |
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.
