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 predicting churn


Do We Already Know Whether You’re Going To Read This Article?
SLP InfoWare announced a product that can predict which of an ISP’s customers are likely to leave.

predicting churn  promotional offers. Market Impact Predicting churn is somewhat different from finding cross-sell opportunities - although only the statistical wizards know how different - because it requires discovering ill-defined patterns in long-term behavior. According to SLP InfoWare, an ISP's acquisition costs for a new customer can be as high as $400 each. A recent report from the Strategis Group, says that almost one in four users of ISPs in France and the UK are likely to move between providers over the next yea

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Documents related to » predicting churn

The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

predicting churn  multidimensional analysis may fail. Predicting behavior . There are situations in which organizations may need to predict customer behavior. For instance, churn analysis helps organizations identify which of their customers are likely to leave them for competitors. Modeling diseases in an animal population based on information relevant to the species in question can, through predictions, help estimate risk of disease. Cross-selling . More commonly known in this scenario as market basket analysis , data mi Read More

Predictive Analytics and the Evolution of BI


In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing business intelligence (BI) and analytics faculties are looking to the field of predictive analysis to enhance these capabilities, and in some cases even replace them. But, is predictive analysis really the new BI? Is it a replacement for the

predicting churn  be applied: classification (for predicting categorical/discrete variables such as yes/no, likelihood of an event to occur or not occur, risk levels, etc.) and regression (for continuous variables, such as blood pressure, liquid levels, etc.). To perform its task, the predictive model uses historical data to generate its outcome. So, for example, based on the analysis of historical data it is possible to address specific business cases and attempt the prediction of business scenarios such as customer behav Read More

Enterprise Performance Management: Cycle II


In February 2009, Quocirca interviewed 800 individuals across eight geographies about their views on, and usage of, enterprise performance management (EPM) tools and processes. The research was repeated in December 2009 and there was a clear improvement in understanding of EPM basics. However, much remains to be done. The overall increase in the EPM sub-indices does not mean there is room for complacency. Find out why.

predicting churn  market changes, while also predicting and being proactive wherever possible, requires a full in-depth knowledge of what your competitors are doing, what trends there are within the market, and how new and proposed product offerings will impact existing products. Within the market model, there should also be the means to evaluate merger and acquisition targets, along with the capability to test various product and organisational scenarios as to their impact on the organisation itself. Business model : The Read More

Predictive Product Keeps Debtors’ Prison Empty


SLP InfoWare adds a module that identifies credit risks.

predicting churn  up-sell and cross-sell recommendations, predicting repeat buyers and exiting buyers, and for customized behavior analysis, in addition to churn prediction. The company boasts a scalable architecture that makes it easy to integrate its suite with other front and back office applications. A user of this or any of SLP InfoWare's products will begin using their modeling environment to accumulate the data to be tracked and define the behaviors to be predicted - in this case, which customers end up subject to d Read More

CRM ROI: Creating a Business Case


Companies need to implement serious yardstick work when seeking to evaluate CRM-software investments. This involves creating a cost-benefit analysis, determining the tangible and intangible benefits, and the risks involved with CRM implementation.

predicting churn  ROI: Creating a Business Case Introduction Getting a read on the return on investment (ROI) of customer relationship management (CRM) from analysts is near impossible today. Several 2003 reports claimed the ROI from CRM implementations was dismal, with 8 out of 10 projects failing to deliver on ROI promises, and 50-70 percent typical project failure rates.(1) Some of this year's reports are more optimistic, with about 52 percent of companies responding that their CRM initiatives generated an ROI between Read More

Data Mining: The Brains Behind eCRM


Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

predicting churn  a high rate of predicting purchasers from non-purchasers it would be used as a recommendation engine; when customers visit the site those that score highly would be offered the target CD as a recommendation. Data mining models created by supervised learning are often applied in cases where users wish to understand the outcome or consequences of a given set of customer profile data never before encountered. By supplying both the inputs and expected outputs, supervised learning allows users to create Read More

TEC Industry Watch: Enterprise Software News for the Week of July 16, 2012


MERGERS @ ACQUISITIONSOracle buys Skire Industry tags: capital management "Oracle is buying to acquire all the assets of Skire, a provider of capital program management and facilities management applications both in the cloud and on-premise. With this acquisition, Oracle expects to complete a set of management tools for all phases of project management, having a complete enterprise project

predicting churn  an alternative approach to predicting demand trends, supported by demand analytics. It automates the capture of demand trends, prediction of forecasts and sales order bias, and recognition of demand patterns to increase forecast accuracy at the level of granularity required for supply chain planning and execution. EDS is designed to work with demand signals within the enterprise as well as external signals such as downstream point-of-sale (POS) data contained in demand signal repositories (DSRs). EDS Read More

Processing Complex Events (During These, oh well, Complex Times) - Part II


Part I of this blog series introduced the concept of complex event processing (CEP) and possible needs for CEP software applications. One such broad CEP platform, Progress Apama, has been offered by Progress Software Coporation after acquiring the formerly independent Apama LTD in 2005. It is worth analyzing what has happened with the Apama product since being acquired by Progress Software

predicting churn  terrorists); aviation control; and predicting the best route for vehicles such as tanks and long-haul transport. More on Apama’s Life Under Progress Software Beyond the original acquisition of Apama by Progress Software, there have been no further CEP products acquisitions. As part of Progress Software, however, Apama has expanded its product capabilities with enhanced visual dashboard technology, which involves the RTView technology that is provided via an original equipment manufacturer (OEM) Read More

What Does the Future Hold for PRM?


Almost every company has been scrutinizing their relationships with partners more closely and figuring out how best to reach and nurture them. With so much business going through indirect sales channels in the next five years, the need for some form of partner relationship management (PRM) should not be questioned. The natural question is then why only a few software vendors specializing in PRM have thrived?

predicting churn  them. Some pundits are predicting as much as 80 percent of business will go through indirect sales channels in the next five years. Given ever-shorter product life cycles and companies' ever-increasing reliance on third party channel partners to drive sales and increase customer satisfaction, the need for some form of PRM should not be questioned. Indirect business partners are usually better at serving local markets and specific customers than companies that focus on developing and marketing product Read More

Retalix Acquires a Provider of Store Systems for Top Tier Department Stores


Retalix' acquisition of Cornell Mayo Associates is symptomatic of the current trend of acquisition and consolidation in the retail marketplace (just look at RedPrairie’s four recent acquisitions in this area). This is a fast-changing marketplace, with retailers looking for broader solutions and less interested in multiple point solutions. Predicting how this merger will go is tricky, but in

predicting churn  in multiple point solutions. Predicting how this merger will go is tricky, but in general I think it has to be a good move for Retalix. Retalix continues to execute on its strategy to expand into adjacent retail segments. Cornell Mayo enhances the company’s position in the department store retail segment, and complements Retalix’s strongholds in the high-volume, high-complexity retail market (e.g., convenience stores, fast food restaurants, gas stations, and supermarkets). It will be interesting to Read More

The Complex Handling of Complexity in Decision Support Systems


Warren Weaver, an American mathematician known for his work on machine translation and his support for science in the United States, defined the complexity of a system as “the degree of difficulty in predicting the properties of the system if the properties of the system’s parts are given.” Weaver addressed and handled complexity by dividing it in two general types: disorganized and

predicting churn  degree of difficulty in predicting the properties of the system if the properties of the system’s parts are given.” Weaver addressed and handled complexity by dividing it in two general types: disorganized and organized. In disorganized complexity, a system has a very large number of parts (millions or more). So, because of its nature, the interaction between these parts can be treated only using probabilistic and statistical methods to model the real system. By the contrary, in an organized Read More

8 Strategies to Improve Your Project Plan


Today’s project management offices (PMOs) must optimize their project plans while managing complex projects concurrently, respecting delivery dates, and reducing resource costs. Decisions made based on the construction and interpretation of these plans have crucial consequences for the projects themselves, for the people involved, and for profits. Discover eight strategies to improve your project plans.

predicting churn  resources to tasks or predicting project ending dates. Actually, planning can be seen as one of the most powerful methodologies for performing SWOT analyses. From such SWOT analyses, you can start elaborating and implementing strategies not just to reduce costs, but also to increase your turnover and your profits. What you learn from your planning system will thus help you set up a large variety of strategies: Increase turnover (or activity) Create or find buffer activities Use buffer resources Read More

A Clear-cut Approach to Collections Is Essential for Profitability


In 2002, US suppliers wrote off more than $18 billion (USD) in bad checks. And the bankruptcy picture has certainly not improved since then. Companies that act quickly to secure overdue accounts are the companies that have the best chance of remaining in the black. The SYSPRO Collections Module automates debt collection, and can help address this acute need.

predicting churn  | Best Profitability | Predicting Profitability | Partner Profitability | Profitability Calculator | Produce Profitability | Profitability Improvement | Calculating Profitability | Profitability Formula | ERP Profitability | ERP Profitability Accounting | ERP Profitability Analysis | ERP Profitability Company | ERP Profitability Definition | ERP Profitability Growth | ERP Profitability Index | ERP Profitability Management | ERP Profitability Objectives | ERP Profitability Performance | ERP Profitability Read More

Palm IPO: 3Com’s morning after, or “Do you know the way to San Jose?”


What does 3Com do now that Palm, Inc. is gone? Find someone else in the neighborhood to play with. Cisco is just next door.

predicting churn  IPO: 3Com’s morning after, or “Do you know the way to San Jose?” Event Summary (Thursday, March 2, 2000 - Reuters) Shares of Palm Inc. skyrocketed the day after its highly anticipated initial public offering, giving Palm a stock market value of US$53.4B. The stock soared from its IPO price of $38 to open at $150 and trade as high as $165 on Nasdaq. The stock ended up 57-1/16 at 95-1/16, making it the third-biggest percentage gainer and the fourth most active issue on the Nasdaq. Late Wednesday, Read More