Description

<p>Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. <i>Business Intelligence Guidebook: From Data Integration to Analytics</i> shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.</p> <p>After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.</p><br><br><ul><li>Provides practical guidelines for building successful BI, DW and data integration solutions. </li><li>Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.</li><li>Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses </li><li>Describes best practices and pragmatic approaches so readers can put them into action. </li><li>Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.</li></ul>