Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize ROI (The Morgan Kaufmann Series on Business Intelligence)

Wise, Lyndsay

ISBN 10: 0124158110 / ISBN 13: 9780124158115

Edité par Waltham, Morgan Kaufmann, 2012

A propos de cet article

XV, 210 pages.

N° de réf. du vendeur 2016-007899

Détails bibliographiques

• Titre: Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize ROI (The Morgan Kaufmann Series on Business Intelligence)
• Éditeur: Waltham, Morgan Kaufmann
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 0124158110
• ISBN à 13 chiffres: 9780124158115
• Reliure: Softcover
• Édition: 1. Auflage.
• État de l'article: Neu
• État de la jaquette: Ohne Schutzumschlag

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Lyndsay Wise is the President and Founder of WiseAnalytics, an independent analyst firm and consultancy specializing in business intelligence for small and mid-sized organizations. For more than ten years, she has assisted clients in business systems analysis, software selection, and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about how to implement a successful BI approach and improving the value of business intelligence within organizations.