This paper explores how companies can more safely introduce employee- or corporate-owned mobile devices into the work-place, identify the risks inherent in their broader access to corpo-rate data, and derive enhanced business value.
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Infrastructure matters. Today’s business environment is increasingly dominated by mobile and cloud-based platforms, and by the skyrocketing volume of new data. And with 70 percent of the average organization's IT budget being spent on operations and maintenance, infrastructure must be simplified, adaptive and responsive. Those are the characteristics of the software defined environment: IBM’s optimized, customized, virtualized IT platform designed to replace systems that assign server, storage and network resources manually. This eBook serves as an essential introduction to SDEs: what they are, and why your organization needs them now more than ever.
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.
IBM Platform HPC Total Cost of Ownership (TCO) tool offers a 3-year total cost of ownership view of your distributed computing environment and savings that you could potentially experience by using IBM Platform HPC in place of competing cluster management software.
View this demo to learn how IBM Platform Computing Cloud Service running on the SoftLayer Cloud helps you: quickly get your applications deployed on ready-to-run clusters in the cloud; manage workloads seamlessly between on-premise and cloud-based resources; get help from the experts with 24x7 Support.
To gain fast access to patient records, Kochi Medical School Hospital in Japan struggled to use aging mobile devices that were unreliable and expensive to repair. Read the case study to learn how the hospital used IBM Mobility Services and desktop cloud to deploy hundreds of mobile devices at a lower per-device cost in a security-rich cloud environment. IBM helped the hospital achieve anywhere, anytime access to patient records; maintain the confidentiality of patient medical information; improve patient care coordination; and increase staff productivity.
IBM® SmartCloud® Orchestrator makes complex cloud services easy to manage. Built on OpenStack, IBM SmartCloud Orchestrator provides common cloud services for multi tier application environments on top of compute, network and storage while supporting multiple hypervisors and multi-vendor platforms. It’s designed to simplify and speed the creation and execution of process workflows that then help shorten deployment and change processes in the cloud. With standardization and automation of cloud services through a flexible orchestration engine, IBM SmartCloud Orchestrator (SCO) provides ongoing service lifecycle management and the flexible platform to automate assets that most organizations are already using.
To build a great mobile app, you need the right skills, tools, and support. That’s why many companies are turning to integrated and collaborative mobile application development environments that let them meet business needs and exceed customer expectations.
Social and cloud technologies are connecting us to more people and information than we ever could have imagined. The challenge is to get the right information from the right sources in the right context at the right time. IBM has the leading cloud collaboration platform that helps you collaborate with extended networks, focus on the relevant and filter out the rest. Join IBM clients as they share how they drove real outcomes with collaborative processes. See how IBM partners are innovating the leading enterprise software platform. Hear IBM's perspective on these technological shifts and see the latest advancements in action.
Although cloud is recognized as a technological change, its potential for driving business innovation remains untapped. Cloud computing can have an impact on operations, customer relationships and industry value chains. Read this executive report to discover how the cloud can open the door to more efficient, responsive and innovative ways of doing business.
Only IBM MobileFirst Platform delivers rich services and then integrates them for an effective end-to-end experience. Choose your need and watch a demo. Bookmark this page as we regularly add new content.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
This infographic succinctly explains the value of our Mobile Platform for key stakeholders -- developers, IT managers, app owners and users, and CISOs. It also charts our four capabilities and the modular services aligned to them.
"Helping enterprise IT developers, architects, and mobile development leaders select the right platform partners
The mobile application development platform market continues to grow, evolve and mature in response to escalating customer requirements.
Gartner has assessed 20 major vendors that enable enterprise IT developers to create mobile applications for customers, partners, and employees."
There are significant cost and performance advantages in migrating from Oracle or HP platforms to Power Systems. In order to mitigate the risks in moving, IBM offers a Migration Factory to partner with clients throughout their transition. Read the white paper to learn more about the advanced tools, metrics and workshops available with this service.
In this video, see how Greenwell Financial marketers use IBM's Digital Experience platform to make customers the center of attention to drive business value. This demo highlights IBM's latest capabilities including Site Wizard, Digital Data Connector, Marketing Center, Media Analytics and more.
This document is intended to provide insight into the considerations and processes required to move an enterprise application from a JavaEE-based application server, such as BEA WebLogic, Oracle Application Server, or IBM WebSphere, to the JBoss Enterprise Application Platform.
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.