IBM PureSystems offers highly integrated solutions that can help you deploy and tune applications for cloud architectures with ease. Read the research report to take a deeper look at PureFlex Systems within the PureSystems family and learn how PureFlex Systems can help you streamline management and accelerate client time-to-value with a new integrated and modular system/subsystem.
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
While economic recovery is clearly in process, your capital and operational budgets are still extremely tight. At the same time, your maintenance organization is being pressured to take a stance of zero tolerance toward safety incidents while reducing maintenance costs and minimizing asset downtime. Read this in-depth Aberdeen Group report, based on responses from 117 executives of successful companies, to find out how best-in-class businesses are proactively managing these challenges. You'll learn these techniques for optimizing maintenance and operations-and more: creating a culture of collaboration among teams across your enterprise; empowering decision makers with appropriate, highly accurate metrics; and leveraging predictive management and analytics to manage assets throughout their life cycle.
Your goal is clear-produce high-quality goods while optimizing resources at every step of production. And in today's uncertain economy, cost-control efforts may never have been more important. Unscheduled downtime because of equipment failure can have a serious impact on your organization's bottom line. Download this white paper from IBM, and learn the basics of predictive maintenance, the benefits it provides manufacturing operations and the underlying technologies that make it possible. Predictive analytics helps you in a number of ways: identify when equipment is likely to fail or need maintenance and take action to maximize uptime and reduce future warranty claims costs; optimize allocated labor resources and spare part inventories, helping eliminate undue maintenance, prevent downtime and reduce inventory costs; and determine why certain production runs fail more often than others, identify the cause and analyze whether those runs warrant a recall.
With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
The IBM PureSystems family is comprised of platform systems and infrastructure systems that include built-in "patterns of expertise" to address complex business and operational tasks for smarter computing.
IBM Power Systems provide a comprehensive approach designed to protect the continuity and availability of business-critical applications and services. Deploying integrated disaster recovery allows companies to deliver new services faster, with higher
IBM Integrated Service Management supports deployment, operations and optimizations for SAP. Read on to learn how IBM can help deploy SAP applications faster, with greater ease and consistency and also enhance operations that fully utilize SAP.
In this paper we examine how IBM Real-time Compression is changing the game by offering a robust, efficient, and cost-effective optimization solution. Moreover, IBM demonstrates that compression has a place in storage optimization.
The objective of this paper is to give you an update on the latest functions, features and benefits of IBM DB2 for z/OS. This paper also features an introduction to DB2 10 by Roger Miller, which highlights the main functions, features and more.
Applications represent three of the top four software concerns of IT executives. Organizations should consider the varying nature of their application workloads in order to make smarter choices. This Forrester paper looks into the impact of System Z.
Learn how IBM Cognos TM1 v10.1 can drive innovation into your enterprise planning, analysis and profitability modeling process. See how you can establish a more dynamic, reliable planning, analysis and more.
Learn how enterprise planning and analysis solutions powered by IBM Cognos 10 are uniquely suited to support timely, reliable forecasts and plans with key analysis, modeling and participation capabilities, paving way to better business choices.
This white paper presented by IDC Health Insights and IDC's Search and Discovery Technologies research practice and sponsored by IBM. Read more of this white paper to gain insight into the value of mining unstructured data in more.
Healthcare organizations are under tremendous pressure to increase the quality of care they provide, improve clinical outcomes and control their costs. Learn to generate new clinical and operational insights by analyzing previously inaccessible data.
The IBM zEnterprise 114 offers organizations of all sizes a flexible infrastructure, called "Freedom by Design." Read the white paper to find out how the z114 can help manage new and traditional workloads in an integrated environment.
This Forrester Total Economic Impact analysis is based on interviews with and data provided by 5 System z customers. The analysis shows a composite ROI of 199% and a pay back of 4.67 months when compared to distributed system alternatives.
Read the Clabby Analytics research report to see how consolidating Linux servers on an IBM Systems z mainframe is more cost effective than deploying Linux on x86 servers. It could save you over a million dollars!
This study illustrates the financial impact of adopting IBM DB2 for both SAP and non-SAP applications based on aggregated findings of customers that migrated to DB2 from a variety of legacy database platforms.