As organizations strive to increase the availability, scalability and performance of their business-analytics and data-warehousing applications, many are realizing the incremental costs and complexity of their current scattered, more departmentalized deployments are adding up. And the more they use these deployments to meet growing market expectations, the more they are spending in areas such as hardware, software, administration and facilities management.
The burden of supporting an enterprise-wide business-analytics and data-warehousing solution—while lowering costs and reducing data center complexity—falls squarely on the shoulders of IT. IT needs solutions to minimize the back-end costs of analytics projects without compromising performance and end-user satisfaction. Therefore, it’s likely your IT department is feeling the pressure to:
- Meet the performance, scalability and availability expectations of your business with a cost-effective strategy
- Reduce the time, resources and complexity involved in providing business analytics and data warehousing to everyone who needs them
- Identify ways to cut costs and still meet business needs
- Implement greater economies of scale
These pressures are raising questions such as:
- Can consolidation and standardization help us be more effective?
- How much is our total investment actually costing in terms of hardware, software, administration and facilities management?
- Does the business have the tools it needs or are there technology gaps? Are there enough licenses?
- Do our tools and shelf-ware overlap? Are there duplicate licenses?
Fortunately, there’s a solution that can help IT departments answer these questions and more.
Simplify on System z
IBM Data Warehousing and Business Analytics on System z —a complete portfolio of business and technology solutions—helps executives, data analysts and employees on the front line gain insight and foresight. Real-time monitoring, reporting, analysis, dashboards and a robust set of predictive analytics enable staff to make smart, proactive business decisions whenever and wherever needed.
Organizations are finding that data warehousing and analytics solutions on the System z platform help contain bottom-line costs and complexity. Because they’ve already chosen the mainframe, these companies can minimize the procurement and support of the new hardware, software and system administration resources needed to meet business users’ expectations for performance and availability. With fewer components to buy, manage and support, the System z platform makes it easier, faster and less costly to scale up to more users and out to more data and functionality.
With IBM Business Analytics and Data Warehousing on System z, the gap between the promise of enterprise-level analytics and the realities of what today’s implementations deliver is virtually eliminated. The costs related to floor space, cooling, system administration, acquisition and maintenance contracts are significantly reduced, as are overall infrastructure expenses. Instead of maintaining a business analytics and data-warehousing infrastructure that’s too expensive and too complex to scale to meet their business needs, companies and IT are able to satisfy business demands quickly and cost-effectively.
With their business analytics and data warehousing implementations, companies can:
- Dramatically lower total cost of ownership (TCO) over five years while reducing costs related to technology updates, scalability and high availability
- Provide greater economies of scale that enable smaller budget allocations for operational requirements
- Reduce complexity with up to 97 percent fewer servers and 87 percent fewer processors to manage
- Offset any hardware acquisition costs with a significant reduction in administration costs
In short, IBM Business Analytics and Data Warehousing solutions on System z reduce operating costs and complexity. The platform not only simplifies the deployment, maintenance and management of said solutions but also enables you meet today’s aggressive business requirements. Resources