IT Management

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.

By combining operational and BI workloads, you can bring together your business systems, data, and decision-makers to deliver enterprisewide insights that enable more informed decisions. Consider how much simpler it would be to add a workload optimized resource to a central processing complex that shares data and work in a way that matches the appropriate resource to the characteristics of the work. How much easier would it be to create and manage a central environment designed to integrate, not separate, your business processes?

With IBM Smart Analytics Optimizer, you can deploy a BI environment that manages queries based on their characteristics, routing them to the right resources without having database professionals manually manage the flow. Instead of dispersed data silos, IBM Smart Analytics Optimizer offers a consolidated, centralized view of business data.

Data warehousing and BI queries are typically complex and often ad hoc in nature. There’s a common concern about the cost of running these highly resource-intensive workloads in a native z/OS environment. Additionally, data warehousing and BI applications increasingly require fast response times, regardless of the query complexity. IBM Smart Analytics Optimizer augments IBM DB2 for z/OS into an enterprise data warehouse by accelerating selected queries by orders of magnitude. In addition to providing Online Transaction Processing- (OLTP)-like performance for Online Analytical Processing- (OLAP)-type queries, IBM Smart Analytics Optimizer also significantly alleviates the need for typical performance tuning activities.

What Will Change for DBAs?

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