Using open source platforms for business intelligence avoid pitfalls and maximize ROI Lyndsay Wise ; [acquiring editor: Andrea Dierna].
Detalles de publicación: Waltham, MA Morgan Kaufmann 2012.Descripción: xv, 210 p. ill. 24 cmISBN:- 9780124158115 (pbk. : alk. paper)
- 658.4/720285 23
- HD38.7 .W566 2012
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca de Mayagüez Colección General mb | HD38.7 .W566 2012 (Navegar estantería(Abre debajo)) | Disponible | 50000003245643 |
Descripciones mejoradas de Syndetics:
Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments.
Includes bibliographical references and index.
Tabla de contenidos provista por Syndetics
- 1 The differences between general OS and commercial open source
- 2 Commercial open source options
- 3 Implications for users
- 4 The business benefits and challenges of OS for BI
- 5 Selling a BI OS project to the business
- 6 Evaluating ROI and TCO
- 7 Developing a cost benefit analytics
- 8 Complementary solutions - OS DI, databases, etc
- 9 Technical considerations
- 10 Integration and data preparation
- 11 Working within an OS environment
- 12 Development steps and considerations
- 13 Required skill sets
- 14 Challenges
- 15 Technical benefits