Abstract: Commercial open source
business intelligence (
BI) is becoming an alternative to proprietary open source
BI for medium and large companies. However, commercial
BI solutions have major demerits compared to proprietary
BI, and have a long way to go to compete in the market. Discover the advantages and disadvantages of commercial open source
BI compared to proprietary
BI, and which one may be better for your company.
PubDate: 1/16/2009 9:40:00 AM
Abstract: Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.
Abstract: If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the full range of BI functionality—leading to excessive costs, delays, and user dissatisfaction. Learn about a solution that covers the five different styles of BI functionality.
Abstract: Business intelligence (BI) 2.0 is used more and more to refer to the next generation of BI solutions, which allow better access to information, and enable communication and collaboration amongst all users. But how is BI changing exactly? For one thing, BI 2.0 allows Web-based interactive reporting. Learn about other differences—and how BI 2.0 can make a difference in your organization’s data warehousing and other activities.
Abstract: Business intelligence (BI) tools are now affordable for midsize companies, and accessible to non-technical business users. Managers can use BI to analyze complex information and support their decision-making processes—combining data from many sources into an integrated, up-to-date view. Find out what midsize companies need to know to select the right BI product, the right BI vendor, and the right approach to BI.
Abstract: Business intelligence (BI) software as a service (SaaS) has gained traction in recent years. The reduced cost and feature-rich nature of the offerings make SaaS BI appealing to large and small businesses alike. Now, independent software vendors (ISVs) are also finding significant advantages to on-demand BI. Learn how SaaS BI solutions are helping ISVs reduce time to market, and accelerate the software development process.
Abstract: If you’re considering investing in business intelligence (BI) software, you need to know about the features and functionalities BI solutions offer, and how to use them to improve your business performance. The Oracle Business Intelligence Suite Enterprise Edition Plus (OBIEE Plus) is a suite of BI products with a range of capabilities. Find out if OBIEE Plus offers your company the BI tools you need.
Abstract: If you’re in the midst of evaluating business intelligence (BI) software, this datasheet sheds light on a BI solution based on a relational online analytical processing (ROLAP) architecture that can provide high scalability and interactivity. Find out more about ROLAP, as well as how BI solutions can support all levels of BI initiatives, including migration from departmental BI toward a more cohesive enterprise framework.
Abstract: By adopting traditional business intelligence (BI) tools, companies have gained valuable insights into past activities and results. However, with operational BI that is different from standard and tactical BI, promptness of information and data in real-time or near real-time is established. Learn how operational BI can boost the timeliness and accuracy of business decisions, and improve operational efficiency and results.
Abstract: In the world of Web-based business intelligence (BI), mashups combine two or more data sources in a single feature. Mashups are among the innovations that help spread BI wider and deeper across organizations. Known as “pervasive BI,” this concept hinges on offering features and applications that blend with—and navigate like—the familiar Web browser. Find out how pervasive BI can help your organization today.
Abstract: Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web-based BI applications, organizations must evaluate architecture, rather than features or functions. What differentiators do you need to look for before embarking on a full-scale BI implementation? And which vendors offer the solution your organization truly needs?
Abstract: With business intelligence (BI), decision-makers can feel the organization’s pulse, evaluate the performance of key business functions, and take action based on their analysis. However, many organizations invest time, money, and resources in BI processes, only to waste their newfound capabilities. Why? And, more importantly, how do you ensure that your BI solution won’t be one of them?
Abstract: The term 'business intelligence' (BI) has emerged over the last ten years as a catch-all for a wide range of financial, analytical, and reporting systems that companies use to steer their business toward higher profitability and sustainable competitive advantage. Fewer and fewer companies deny the need for BI in today’s ever more competitive world, and numerous, increasingly sophisticated technologies have emerged to support this trend. Yet, despite the technological advances, failed BI implementations litter the landscape. What steps can companies take to insure the successful integration of effective BI into the daily management of their operations?
Abstract: Most companies recognize that business intelligence (BI) is critical to business process improvement and decision making, because these BI tools turn data into actionable information. However, many companies fail to put BI tools into the hands of users who would most benefit from them. Find out how IT executives can leverage today’s less complex BI tools to empower your company from top to bottom.
Abstract: For many years, business intelligence (BI) has proven to be invaluable for enhancing database information in the retail and banking sectors. But to be truly useful in the manufacturing sector, the manufacturing environment’s existing technology information structure needs to continually inform the BI system. This can now be accomplished more efficiently by embedding BI into the enterprise software itself.
Abstract: The software industry has witnessed a consolidation in the business intelligence (BI) market. In BI, enterprise technology conglomerates identified a growth market and an opportunity to upsell to their existing install base, primarily that of applications such as enterprise resource planning (ERP). This consolidation has rendered sole-sourcing BI from ERP vendors an alluring option for many organizations. Find out why.
Abstract: For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions.
Abstract: No matter the size of your company, you need critical business information and integrated reporting. Small to medium enterprises (SMEs) shouldn’t discount the importance of business intelligence (BI). In fact, most SME owners make decisions based on a best guess, and don’t know the value of business intelligence (BI) systems. But you don’t have to empty your coffers—new BI software is Web-based and affordable. Learn more.
Abstract: Traditional business intelligence (BI) software has not been available to line-of-business managers, frontline employees, or external stakeholders, but that is no longer the case. New BI solutions unite transactional and analytical worlds. Knowledge workers and executives can now analyze operational processes in real time. Decisions can be made and entered back into operational systems combining BI and performance management strategies.