Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier
Publisher: Addison-Wesley

€� More limited interaction required with rest of business. Nov 11, 2013 - While other vendors look to consolidate and lock in their stacks, SAP takes an open approach to innovation and allows a wide variety of partners to build and deliver solutions – including analytics – on SAP HANA. SAP Lumira delivers agile visualizations for business analysts to uncover more insight from their data – big and small – in SAP HANA and contribute new information. Jan 23, 2009 - Not only that, the Agile approach also throws ideas which could be deployed in a BI implementation. A common architectural approach for transactions and analytics Cloud-Based, Real-Time Analytics. Huge range of access points, applications, workloads, and data sources for any future Hadoop data warehouse demands an architectural flexibility that traditional data warehouses, with their operational business intelligence (BI) focus, . €� Rules-based processes common across business units. Nov 12, 2013 - As a proponent of agile data warehousing and business intelligence, I am constantly looking for new techniques for delivering value to customers faster, adapting to their feedback, and evolving toward the right business solutions It isn't about data warehousing, BI, or analytics … or is it? €� Significant process transaction volumes. Business intelligence/data warehousing. Sep 21, 2013 - Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management. My clients routinely tell me stories about building dozens of BI reports based on customer spreadsheets or requests, only to discover that most of these are rarely or never used. €� Common systems infrastructure. Taking a business process view for analytics to deliver real business impact .. Apr 3, 2014 - PROCESS • ANALYTICS • TECHNOLOGY.