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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 51 matches |
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Need a retail intelligence system that doesn't require a significant up front investment, coordination of multiple software vendors and system integrators, or take months or years to implement? This guide will help you gain greater visibility of all your sales channels, products, distribution and suppliers to make timely and effective business decisions.
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| By : IBM |
Published Date: Aug 08, 2006 |
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As manufacturing goes global, initiatives to standardize processes and key performance measurements across the enterprise to unite the greater supply chain are emerging. The main catalyst? Driving down costs in response to customer and market pressures. However, mid-size companies in particular are driving performance improvements with a more proactive, strategic vision for improving performance than reactively responding to cost pressure.
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Learn about the challenges and solutions for meeting the reporting requirements faced by today’s organizations, with attention to formal government legislation, industry-specific regulations, and internal corporate governance.
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| By : SAP |
Published Date: Jun 01, 2008 |
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Read this article to identify the 5 phrases of an EDM implementation you need to achieve efficiency and effectiveness with your master data.
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| By : Netsuite |
Published Date: Nov 08, 2007 |
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But what is "BI" and how do small/mid size business owners acquire it without too much cost? This Executive White Paper will outline the issues and solutions for the "BI" requirements of growing companies.
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Can service-oriented architecture (SOA) principles untangle the complexity of today's business integration requirements? This paper provides an overview of the promises and realities of collaborative SOA environments, and describes how iWay SOA Middleware solutions make the benefits of an SOA achievable, while protecting investments in already-in-place applications, middleware, and information systems.
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Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
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| By : AKS-Labs |
Published Date: Mar 14, 2007 |
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Business professionals lack essential information about real-life metrics and information on how to build a Balanced Scorecard, which supports weights and scores, which allows calculating the performance values. This whitepaper is a Balanced Scorecard design toolkit, which contains some "how-to" ideas.
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| By : LogiXML |
Published Date: Jan 26, 2007 |
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The term Business Intelligence 2.0 (BI 2.0) is cropping up more and more in the industry, generally referring to the next generation of BI just as Web 2.0 has come to refer to the next generation of the Web.
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| By : Siperian |
Published Date: Jan 24, 2007 |
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Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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Dashboards help organizations make better business decisions. The way in which they are created is not trivial and attention must be paid to the details. Employing visual design standards and principles are important, but are only part of the journey. The way in which data is integrated from the enterprise is just as important.
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| By : SAP |
Published Date: Feb 01, 2008 |
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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 |
Published Date: Feb 01, 2008 |
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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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Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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| By : SAP |
Published Date: Feb 01, 2008 |
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Firms in Process Industries have made significant investments in information technology to increase the efficiency of their operations and supply chains. One side effect of these investments has been the creation of vast stores of valuable data. achieve insight, transparency and competitive advantage.
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| By : SAP |
Published Date: Feb 01, 2008 |
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The Retail sector was one of the first sectors to make significant investments in collecting and integrating customer data in data warehouses. In the future, firms will need to continue to be cost effective but increasingly will need to focus on using data to drive revenue by better understanding their customers' needs. Enterprises that effectively harness the vast quantities of information that IT systems generate - both within the corporation and outside its walls - are poised to gain competitive advantage.
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| By : SAP |
Published Date: Feb 01, 2008 |
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Your organization's focus has been on acquiring customers, increasing revenues and profitability, and outpacing the competition. And while your organization has continued to improve its operating efficiencies (sometimes by quickly learning from past mistakes), you feel your company should be spending more time analyzing what’s going on and planning for the future.
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The CIO's role becomes more strategic as organizations use information to create a competitive advantage. This paper – using evidence from benchmarks created with IBM to test WebFOCUS' performance on System z running z/OS and Linux – helps CIOs to balance demands for information accessibility and processing power.
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iWay Service Manager is a complete integrated design environment. From an end-user perspective, it is simply a complete management solution that can be used with the graphical interface to design process-centric applications, without the need for developers to understand or map to the underlying infrastructure.
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The business intelligence (BI) “boom” of the 1990s was something BIG: big projects designed to give big companies with big budgets a competitive advantage. And while BI delivered big returns for some companies, for others it was nothing but a big headache. An estimated 50% of all data warehousing projects failed to meet their goals. Why? Because many companies underestimated just how big an undertaking BI really was.
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This paper describes how to leverage WebFOCUS business intelligence software to generate Excel spreadsheets directly from enterprise data sources, consolidating large amounts of data, performing complex calculations, and creating advanced structures like PivotTables.
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This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
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The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
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Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
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This white paper discusses the specific business and architectural success factors to consider when selecting one Enterprise Business Intelligence Suite (EBIS) to serve as the enterprise standard.
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