z/VSE: 45 Years of Progress - z/VM - IBM

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IBM Smart Analytics Optimizer Revolutionary Technology for Data Warehouse and Business Intelligence Workloads By Patric Becker and Cuneyt Goksu IT budgets are shrinking, but businesses are generating more data than ever, and must make sense of it faster than ever—turning information into insight. Business expectations are growing and every company faces the challenge of doing more with less. How can managers make the right business decision with confidence? Companies must get smarter about themselves, their markets, and their customers. Analytic Business Intelligence (BI) solutions are designed to help them. Successful businesses understand they must use information to drive innovation to change the way they do business and differentiate themselves from competitors. Many companies have taken a data warehousing approach and stacked data. Of course, this presents some issues, such as dedicated servers and storage, that result in siloed data stores run and managed separately from operational systems. Mostly, this data is wildly distributed in the company. This causes challenges for those who need a clear, enterprisewide view. As these discrete systems populate across an organization, inconsistencies, complexities, and indecisiveness set in. While the trend to put information in the hands of decision-makers has powerful momentum, successful deployments require data warehouse changes that involve the underlying enterprise information infrastructure. Data warehouses must deliver information into operational transactions, portals, and other tools to provide the necessary insight to the right people, at the right time, in the right context. The latest system technology is creating a more integrated approach to deliver near-real-time, actionable intelligence in an easy-to-digest format for desktops, laptops, and handheld devices—allowing managers, wherever they are, to make better, smarter business decisions with greater confidence than ever before, faster than ever before. What’s occurring is a paradigm shift from isolated, application-focused systems to an enterprisewide information infrastructure. Instead of continually moving the data to the users, organizations now can locate their business processes next to the operational data to simplify the infrastructure. Now, companies can eliminate the complexities of existing systems to deliver an integrated environment to meet their data warehouse processing requirements. The inefficiencies inherent in having multiple, distributed copies of data across systems can be eliminated by proposing a new model that streamlines a business infrastructure. The newest offering is the IBM Smart Analytics Optimizer, which lets businesses integrate BI into their environment. 2 0 • z / J o u r n a l • O c t o b e r / N o v e m b e r 2 0 1 0
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z/VSE: 45 Years of Progress - z/VM - IBM

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