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

Mar 24, 2010 - Last week, I wrote about the business value of NoSQL, an alternative approach to relational databases that's gaining more attention in the trade press. 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. Sep 26, 2013 - Many teams who follow this approach end up building massive data warehouses that can take months – or years – to complete before anything is delivered to the end-users. This new survey-based research Professionals must shift development and deployment approaches so that systems are responsive to agile business needs and oriented toward providing self-service functionality to free users from dependence on IT. Many lessons that I've learned @ both Oracle and Microsoft will be applied here as well as the practices that we apply @ Razorfish, many of which originate from Ken W. I also like to emphasize TDD (test-driven development) as an approach that is most effective to quality products in business intelligence and data warehouse solutions. In this This is such an important topic as the value of BI to the business is so often questioned – especially for older, more cumbersome and inefficient implementations. Apr 22, 2014 - For example, we'll see more BI solutions that automatically alert business leaders to real-time, dramatic shifts in data. Jul 22, 2013 - For years, the general approach to Business Intelligence has been to create a 'new data structure' that pre-processes data views so that users could instantly access their favored reports and data views without having to wait for computers to are introducing database engines designed to both support operational transactional systems AND provide effective tooling to master analytics WITHOUT needing to create a separate Business Intelligence data warehouse. Jan 4, 2013 - The information that flows from BI, analytics, and data warehousing systems can help organizations find the right decision-making balance that avoids the extremes of snap decisions and rigid processes. Recent 2013 predictions report entitled Predicts 2013: Business Intelligence and Analytics Need to Scale Up to Support Explosive Growth in Data Sources, predicted that by 2015, more than 30% of analytics projects will deliver insights based on structured and unstructured data. Jun 14, 2012 - They make enterprise-class analytics making accessible to organizations of almost any size with a multi-tenant Cloud-based approach that offers more scalability and faster time-to-value than traditional solutions like SAP Business Objects. He's not the only one Alta Plana Corp. Feb 14, 2013 - In reading through the Gartner report, 2013 Magic Quadrant for Business Intelligence, there is no question that unstructured data is becoming a hot button for business and IT leaders alike. 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. Analytics strategist Seth Grimes also wrote about NoSQL this week in an Intelligent Enterprise column titled "Is It Time For NoETL? Aug 27, 2012 - Advanced analytics, Agile BI, Big Data, Business intelligence, Conference, Data quality, Data warehousing Last week I presented a paper on the Impact of Big Data on Data Warehousing at the ARK Group's conference on Revolutionising the Data Warehouse and Business Analytics, which was held in Melbourne. Primarily, he said, NoSQL is a good solution for online problems, but less appropriate for bulk load data warehouses and business intelligence. Collier's exellect book Agile Analytics, which I highly recommend.