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Abstract: Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional
analytics to predictive
analytics, and predictive
analytics is emerging as a distinct new software sector.
PubDate: 12/24/2005
Abstract: You can have the best sales pitch in the world, but if you don’t know who your audience is, or what they’re looking for, your strategy is based on chance. Marketing—smart, cost-effective marketing—is about listening to what a specific person or group of people are looking for and responding to their needs or desires. Learn how to use analytics to focus your marketing efforts, for more effective and efficient results.
Abstract: Small and midsized companies may need help configuring Google Analytics installations to aid their clients in the real estate, vacation rental, and resort markets—and to measure and enhance the effectiveness of their online marketing programs. If you’re tired of being kept in the dark about the effectiveness of your Internet marketing programs, then it might be time to implement a comprehensive Google Analytics program.
Abstract: A recent study by Jupiter Research found that e-mail marketers using Web analytics click-stream data to generate targeted e-mail campaigns produce an impressive average click-through rate of 14 percent, and a conversion rate of 3.9 percent. Can your business claim numbers this high? If not, find out how you can with Web analytics tools that will help you gain insight on your subscribers’ behaviors while increasing sales.
Abstract: Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent certain that the data you’re working with is always accurate? To deal with this and many other questions that will arise, businesses must gain a better understanding of how well their analytics tools work with their existing data integration solutions, and how using testing platforms will help.
Abstract: As companies demand more from their decision support systems, unified business performance management (BPM) will play an increasingly important role in planning and decision-making. Thus, predictive analytics, applied with BPM, bridges the gap between real-time activity monitoring and calculated execution. Before embracing predictive analytics, however, companies should know that only a unified solution can help capitalize on this promising technology.
Abstract: Human resources (HR) is an increasingly strategic player in gaining a competitive advantage, especially in terms of workforce analytics. But HR organizations struggle when they spend too much time gathering data instead of acting on it. By implementing a comprehensive workforce analytics solution, they will start to win the 'changing game' and—more importantly—drive corporate results that matter.
Abstract: Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.
Abstract: Companies already use business intelligence (BI) to help them make decisions. But now they’re discovering that they can make better decisions by coupling BI with a predictive analytics solution. Predictive analytics can help companies solve problems, achieve business goals, uncover patterns not easily identifiable through reports or dashboards, and share all that information with decision-makers. Find out how.
Abstract: I'm Lyndsay Wise, senior research analyst at Technology Evaluation Centers. Welcome to another in TEC's series of enterprise software Vendor Showdowns. Today's Showdown pits three of the top business intelligence (BI) vendors against each other in a head-to-head contest: Oracle's Hyperion System 9 vs. Microsoft ProClarity vs. Exact Business Analytics. We hope you find this Vendor Showdown helpful and informative, and invite your comments and questions.
Abstract: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?
Abstract: Supply chain analytics is gaining popularity with organizations, as it is an effective mechanism to monitor and track supply chain performance. And with new technological innovations promising to enhance these tools, businesses can look forward to benefiting more fully from this area of supply chain management.
Abstract: Siebel Systems is incorporating Informatica’s data integration platform into Siebel eBusiness Analytics 2000.3. The vendors hope to use the integrated product to consolidate data into a 'comprehensive e-business data warehouse'. Have the vendors found the e-business holy grail?
Abstract: Product, project, process, and people represent the four areas of PLM analytics that may help PLM user organizations develop better products, improve the product development process, increase operational efficiency, and better measure employee performance, respectively.
Abstract: IBM's Entity Analytics Solution (EAS) enables organizations to identify and connect individuals based on collected data and their associated data patterns. EAS is used primarily within governments and the financial and insurance sectors to detect and prevent fraud.
Abstract: “It’s like looking for a needle in a haystack!” That saying and Internet site searches go together like ham and eggs. To help maximize search effectiveness, many online retailers are now establishing competitive advantages through site search analytics. By manufacturing and analyzing search content, they’re improving the relevancy of search results, thus closing the gap between searching and finding—and buying.
Abstract: Manufacturing analytics is fundamental to enabling an enterprise to run at peak performance. For management to achieve this condition, it needs to have an underlying data collection and management system that looks to the total enterprise. Data collected at the packaging line must be available and compatible with financial and operational data, so that maximum value can be achieved.
Abstract: Despite significant investments in technology and an abundance of data, many companies repeatedly struggle to improve results on their marketing efforts. Why? In many cases, they are addressing the symptoms rather than the causes of their customers issues. Predictive analytics can be used to uncover these root cause issues, so they can treat the disease, not just the symptoms.
Abstract: There is a presumption that enterprise performance management and business intelligence initiatives must be supported by data warehouses. Conceptually, the data warehouse provides a central point where a copy of data from multiple locations is stored and optimized for reporting. In practice, however, it is possible to access powerful business intelligence, analytics, and reporting, without relying on a data warehouse.