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Data Management > Business Intelligence |
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Business Intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all of the factors that affect your business. It is imperative that you have an in depth knowledge about factors such as your customers, competitors, business partners, economic environment, and internal operations to make effective and good quality business decisions. Business intelligence enables you to make these kinds of decisions. |
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Results 1 - 25 of 80 matches |
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Learn how-and how much-you can gain in benefits from using Actional Enterprise for managing the operations of your distributed, interconnected applications. This E-kit will help you understand in measurable terms-such as the costs, cost savings, and ROI-of deploying Actional. Simply register and you will receive the resources required to help you build and communicate a business case.
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The IBM white paper, "A Best-in-Class Roadmap For Performance Improvement," includes the results of an Aberdeen survey of over 200 retail companies. In it, you'll see the critical Business Intelligence strategies and capabilities that best-in-class retailers are employing to increase performance.
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In the transport and logistics market where timing is critical, a matter of minutes can make or break a performance-based contract. Your success will depend on your organization's ability to visualize, monitor and act on internal events and external events that effect your operations.
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Forrester Research has named Apama as a standout leader in the complex event processing (CEP) platform market in The Forrester Wave: Complex Event Processing Platforms, Q3 2009 Report.
The Report evaluated nine CEP platform vendors based on a comprehensive set of evaluation criteria.
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IDC Report: Complex Event Processing Opportunity Analysis and Assessment of Key Products Read this excerpt of the 2009 IDC study by Maureen Fleming and Jeff Silverstein looking at complex event processing. The excerpt includes IDC opinion on the market for CEP, what defines CEP and independently profiles Progress Apama, which was ranked "Top CEP Innovator" in the report.
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Headquartered in Stockholm, Sweden, Scandinavian Airlines (SAS) is the largest airline in Scandinavia. It flies to 150 destinations, employs 32,000 staff, and carries 40 million passengers annually. The mainframe data warehouse had become expensive to run and maintain and it was becoming difficult to deliver the Business Intelligence vital to competing within the airline industry in a timely manner.
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Valero Energy Corporation (NYSE: VLO) is one of the top U.S. refining companies, with about 22,000 employees and revenues of $119 billion. A market leader, Valero has approximately 5,800 retail sites and operates on a retail and wholesale basis across 44 U.S. states, Canada, Latin America and the Caribbean region. Valero needed to reduce the risks and costs associated with their core systems that were running on a mainframe and to increase competitive advantage in the delivery of energy services for both retail and wholesale. They chose to migrate to UNIX, achieving 50% increased performance and reducing system complexity.
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In the ForwardView article, you'll learn how Business Intelligence (BI) solutions provide greater visibility across the entire business to help you spot trends in real time.
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Discover the unique support for data warehousing and business intelligence offered by the IBM DB2 portfolio. This white paper shows how an IBM System z server, integrated with the IBM DB2 family of solutions, can help you meet requirements for data warehousing and business intelligence.
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The increasingly sophisticated nature of information theft, and the continued emergence of new data privacy protection regulations worldwide, requires strong data security. Effective information security starts by protecting data at the source - the databases in which it resides. Historically most organizations have relied on network perimeter and application level security to restrict access to sensitive data, leaving their databases and the sensitive information inside exposed.
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Get rates as low as 1.50%* for hardware, and 2.30%* for software, on transactions as low as $5,000
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To find out how much space a company can save by using the feature, the user can use the Data Storage Analyzer that employs the exact same algorithm as the Deep Compression feature to arrive at a very accurate estimate of the size of the compressed database.
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Because organizations' efforts and attentions were being spent on automation, to improve decision-making was never the primary focus. Today it has taken center stage.
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This executive level brochure provides the strategy behind Information on Demand (IOD), the 5 entry points to IOD and includes a summary of the 2008, information market analyst Ovum's independent evaluation of IBM's Information On Demand initiative which declared IBM to be at the "vanguard of the unified information management revolution."
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This demo explores the Information on Demand strategy and discusses the 5 entry points to IOD - manage data over its lifetime, optimize content based operational and compliance processes, establish govern and deliver trusted information, optimize business performance, and the Information Agenda.
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Facing tough IT decisions? Get insight from midsize businesses like yours.
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| By : SAP Inc. |
Published Date: Jul 28, 2009 |
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While historically consumer packaged goods (CPG) organizations have made significant investments in data collection and integration, much of the data stored in their IT infrastructures has not been analyzed or deployed to further the firms' business performance. Those enterprises that learn to effectively harness the vast quantities of information generated by their IT systems - both within and outside the corporation - will enjoy a substantial competitive advantage.
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| By : SAP Inc. |
Published Date: Jul 28, 2009 |
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Although many organizations have made significant investments in data collection and integration (through data warehouses and the like), it is a rare enterprise that can analyze and redeploy its accumulated data to actually drive business performance. In the years to come, as globalization and increased reliance on the Internet further complicate, accelerate and intensify marketplace conditions, actionable business intelligence promises to deliver a formidable competitive advantage to firms that leverage its power.
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| By : SAP Inc. |
Published Date: Jul 28, 2009 |
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Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
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| By : SAP Inc. |
Published Date: Jul 28, 2009 |
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Learn how midsize companies are putting in place a business intelligence information infrastructure - making them more likely to adhere to their budgets and deadlines, concentrate on improving the overall business rather than just one department, and reward employees accordingly.
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| By : SAP Inc. |
Published Date: Jun 16, 2009 |
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As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve time-to-information for business users. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
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Peters' and Waterman's well-known book 'In Search of Excellence', a study of some of the most well-managed companies in the United States at that time, was one of the best-known business books of the 1980s. In the book, the authors identified eight common themes which they argued were responsible for the success of the included corporations. These attributes included hands-on management, centralized values accompanied by entrepreneurial productivity, and focusing on the core business (sticking to the knitting).
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Integrating data and applications throughout the enterprise and presenting them in a unified view is a complex proposition. Not only are there broad disparities in technologies, data structures, and application functionality, but there are also fundamental differences in integration architectures. Many organizations address these diverse needs with a broad palette of tools and technologies, resulting in disjointed integration projects with no leverage or unity between them. This white paper provides a technical overview of a data integration tool that meets the performance, flexibility, productivity, modularity and hot-pluggability requirements of an integration platform.
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Managing your applications top-down from a business perspective allows you to identify business exceptions rapidly, pinpoint root cause issues using drilldowns in the underlying technologies, infrastructure, and remediate the issues automatically before they become emergencies.
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Data integration is a critical and fundamental element in a variety of technologies, including data warehouses, business intelligence (BI) applications, service-oriented architectures (SOA), master data management (MDM) applications, and data-centric architectures. This white paper reviews the state of the market for data integration for 2008 and 2009. It defines data integration, discusses the trends in the data integration market, and provides lessons learned from real implementations. The information presented is based on the State of the Data Integration Market Survey, a study of more than 300 global data integration users conducted by Oracle in August 2008. It also incorporates industry research and projections by leading analyst firms.
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More Data Management Topics |
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Application Integration, Analytical Applications, Business Intelligence, Configuration Management, Database Development, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Database Security, EDI, SOAP, Service Oriented Architecture, Web Service Management, Data Warehousing |
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