Documents » define predictive analytics using forumlas.
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: 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: 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: Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.
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: 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: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?
Abstract: Get
predictive intelligence: identify future problems and prevent them from happening, and discover how you can head off it problems and free your...
Keywords: solve problems occur predictive intelligence, solve, problems, occur, predictive, intelligence, problems occur predictive intelligence, solve occur predictive intelligence, solve problems predictive intelligence, solve problems occur intelligence, solve problems occur predictive.
Abstract: If you're in the supply chain business, right up there with Newton's law of gravity stands Murphy's other law stipulating that demand and supply, if left to their own tendencies, will always tend to diverge and get you in trouble. Welcome to the world of predictive demand and supply planning whose mission is to predict imbalances as far in advance as possible, in order to provide ample time and opportunity to design and implement corrective sales and operations solutions. So how do we design a system for identifying potential issues and expressing them via a commonly understood key process indicator (KPI) where the cause and effect of our actions can be readily measured? Read this article by the former director of Dell's operations and demand management.
Abstract: For those who haven’t yet taken the plunge, the time has come: Predictive analysis will become a competitive necessity by the end of this decade. This is primarily thanks to its capacity for turning customer intelligence into actionable information for improving the accuracy and efficiency with which organizations target specific customers and prospects—effectively lowering the cost of marketing campaigns.
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: In any competitive market, leveraging data to understand a customer s next move is essential. Thus, to achieve an advantage in customer marketing, companies have invested millions in customer intelligence systems. Despite this investment, many companies still struggle to increase marketing return on investment (ROI). This is due largely to the absence of an effective predictive analytics approach to customer data.
Abstract: The lifeblood by which executives in professional services organizations (PSO) manage their businesses has traditionally centered on the concept of realization, measured through metrics. Predictive Service Execution enables firms to deliver consistent and timely services while maximizing cash flow, engagement profitability, and customer satisfaction.
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: 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.