[Get.2K67] Business Intelligence Guidebook From Data Integration to Analytics

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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. Business Intelligence Guidebook: From Data Integration to Analytics 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. 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, youll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. Whitepapers Tableau Software Business Intelligence Featured Top 7 Government Business Intelligence Trends for 2017 Over the past few years data and self-service analytics has become a Gartner's Business Analytics Framework G00219420 Gartner's Business Analytics Framework Published: 20 September 2011 Analyst(s): Neil Chandler Bill Hostmann Nigel Rayner Gareth Herschel IBM SPSS - IBM Analytics IBM SPSS predictive analytics software provides statistical analysis/reporting predictive modeling data mining decision management/deployment and big data analytics Data Integration and Management Tools for Business Informatica's data integration portfolio helps you find cleanse secure master and transform data Get business intelligence from great data TDWI Transforming Data with Intelligence Transforming Data With Intelligence For more than 20 years TDWI has been raising the intelligence of data leaders and their teams with in-depth applicable BUSINESS INTELLIGENCE: CONCEPTS COMPONENTS TECHNIQUES The concept of Business Intelligence (BI) is brought up by Gartner Group since 1996 It is defined as the application of a set of methodologies and technologies such Design a business intelligence system properly -- for When designing a business intelligence system BI managers and developers must consider the varying needs of their business users according to expert Rick Sherman Data Integration Business Analytics and Big Data Pentaho Pentaho's big data integration and analytics solutions turn information into insights to help your organization gain a competitive advantage Learn more Key Take-Aways From Gartner's 2015 Magic Quadrant For Business Intelligence (BI) platforms grew 9% in 2013 and are projected to grow at a compound annual growth rate (CAGR) of 87% through 2018 By 2017 the Dodge Data and Analytics Construction Projects and Bidding Discover and connect with the projects people and products that drive today's construction industry Browse and bid on construction projects
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