We've Revolutionized Predictive Analytics
Learn why Gartner's lead analyst in Predictive Analytics believes KXEN is a disrupter to the predictive analytics market traditionally dominated by vendors such as SAS and SPSS (acquired by IBM in 2009). In this report, Gartner assesses all the different aspects of KXEN, including strategy, organization, products, technology, marketing, financials and support.Download Resource »»
KXEN Named A Leader in Customer Analytics Solutions By Independent Research Firm
October 30, 2012
KXEN recognized as a leader in Forrester's assessment of six top vendors in Customer Analytics Solutions. KXEN received the top score among all vendors for Customer References, which includes Customer Satisfaction and Net Promoter scores.
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KXEN Named A Strong Performer in Big Data Predictive Analytics Solutions By Independent Research Firm
January 3, 2013
According to the Wave report, “Predictive analytics enables firms to reduce risks, make intelligent decisions, and create differentiated, more personal customer experiences. But predictive analytics is hard to do without the right tools and technologies, given the increasing challenge of storing, processing, and accessing the volume, velocity, and variety of big data.”
To address this increasing challenge as identified by Forrester in the report, “KXEN collapses the normal predictive analytics life cycle by automating the predictive model discovery process.” The report goes on to say “KXEN’s low-touch approach to predictive analytics will boom in popularity. KXEN focuses on providing new clients with better business outcomes as fast as possible.”
KXEN received the highest score achievable in the two criteria based on providing public references–“Performance Reference” and “Scalability Reference”.
Additionally, Forrester notes that KXEN “offers strong social network analysis” and is only one of two vendors in the evaluation that provides this algorithm.Download Resource »»
KXEN Customers Achieve Rapid Model Development and Precise Targeting
Discover why benchmark report shows that KXEN users are 50% more likely to target customers through personalized offers. Learn how KXEN users are more likely to use behavioral data like website clickstreams and call center logs, which are critical to big data initiatives, to help generate relevant marketing offers in real-time.Download Resource »»
KXEN Named A Leader in Predictive Analytics And Data Mining By Independent Research Firm
February 4, 2010
The independent research company’s assessment of nine top vendors in Predictive Analytics and Data Mining, stated that "KXEN is at the forefront of the convergence of PA/DM [Predictive Analytics and Data Mining], content analytics and social network analysis for Web 2.0 environments."Download Resource »»
June 22, 2011
Many business process pros have implemented next-best-action technologies to improve customer retention, boost upsell and cross-sell, and enhance customer experiences. Best practices for customer relationship management (CRM) next best action are to align it with key business imperatives, deliver it through priority customer-interaction channels, inform targeted offers with trustworthy customer data, drive it from advanced analytics and rules, and use it to shape multichannel conversations with customers. Next-best-action deployments are mature but evolving; practitioners leverage predictive analytics and other statistics-based models to realize return on investment (ROI) across CRM roles — including sales, marketing, and customer service — and customer-facing channels. This report profiles two case studies featuring KXEN:
- A telecom provider enables simple, consistent cross-channel interactions
- MonotaRO automates transactions in a portal next-best-action environment
Today, marketers in almost every organization recognize the social value of their data in terms of understanding consumers’ behaviour and identifying new business opportunities. Social Network Analysis (or SNA) is an advanced technique that enables companies to analyze social data and make sense of it.
This paper explores the use of Social Network Analysis in vertical markets through the experience of KXEN’s SNA solution, InfiniteInsight® Social. KXEN’s approach to SNA gained immediate traction in various verticals, notably communications, banking, and retail. Today, KXEN’s InfiniteInsight® Social solution offers an intuitive and effective way of building and analyzing social networks.Download Resource »»
Every interaction with your customers is an opportunity to build your relationship. It could be a personalized marketing offer or proactive customer service. To make sure this interaction maximizes the value of your customer relationship, many organizations are developing Next Best Activity (NBA) programs. NBA allows organizations to optimize each and every decision across the customer lifecycle – from customer acquisition to cross and up-sell, retention, customer service and more – regardless of channel.
This report highlights how KXEN’s flagship product InfiniteInsight® is used in NBA programs including drill-downs of the applications of NBA in the communications, financial services and retail industries.Download Resource »»
An overview of KXEN’s Predictive Offers™, an application built on the Cloud Prediction™ platform, enabling the management of intelligent offers in salesforce.com. KXEN's Predictive Offers™ takes all the information you've collected about your customers to deliver personalized offer recommendations. Your customer service agents will have the confidence that every offer they make will be the next best offer.Download Resource »»
An overview of InfiniteInsight® Genius, the first predictive analytics solution specifically designed for self-service use by marketing professionals. InfiniteInsight® Genius enables marketing users with no prior training in data mining techniques to build and deploy world-class predictive models, giving marketers the power to optimize every campaign and every customer interaction.Download Resource »»
An overview of InfiniteInsight® Social, the only end-to-end solution combining world-class predictive analytics with the latest in social network analysis, resulting in an order of magnitude improvement in campaign effectiveness. We'll help you create viral marketing campaigns across the customer lifecycle – from acquisition to cross-sell, up-sell, next best activity and churn – by integrating social attributes natively into your predictive models.Download Resource »»
Sybase IQ provides a solid foundation for predictive analytics, but models and visualization techniques are needed to extract value from massive amounts of live and historical data. KXEN's InfiniteInsight® utilizes Sybase IQ In-Database Analytics Option to provide an extensive library of built-in numerical, statistical and predictive analytics functions, so that query results can be immediately analyzed within the Sybase IQ analytics server. Together, they produce query speeds on large data sets up to 100 or even 1,000 faster than traditional relational-based solutions and earlier predictive analytics techniques.Download Resource »»
Continuous Intelligence, a solution developed by KXEN, in collaboration with Sybase, an SAP Company, is designed to enable organizations to essentially redefine “real-time business intelligence.”
This system enables its users to detect meaningful patterns, reduce the latency between events and decisions to milliseconds and outperform conventional business intelligence systems by 10 to 1000 times.
KXEN and Sybase have changed the Next Best Activity game, enabling their users to analyze continuously aggregated event streams and to effectively manage the “big data” necessary for getting to the real-time insights that will help make the best decisions and take the best next actions.
Teradata Corporation and KXEN have teamed up to combine Teradata’s enterprise data warehousing capabilities with KXEN’s InfiniteInsight®. Now, you can answer hundreds of business questions, do what-if analysis, and get immediate, reliable answers to the toughest business questions with best-in-class predictive analytics.Download Resource »»
Teradata Corporation and KXEN have teamed together to deliver Predictive Intelligence for Manufacturing. Jointly, our two companies deliveran infrastructure that will help improve your operational efficiencies and Key Performance Indicators (KPI) while maximizing your Business Intelligence (BI) investment. It’s a solution that consolidates a view of your entire organization and seamlessly embeds the power of automated data mining into your data warehouse to improve your overall BI and performance management processes.Download Resource »»
Il potere dell'analisi predittiva
Ottenere una visione in tempo reale con precisione e facilità
El podel del análisis predictivo
Generar conocimiento en tiempo real, con precisión y facilidad
An overview of how InfiniteInsight® allows you to build predictive models to gain unprecedented insight into your customers – from acquisition through cross-sell, up-sell, churn prevention, and generally taking the next best action with every interaction, across every customer channel. With InfiniteInsight®, it’s not about building great algorithms in a lab environment. It’s about making predictive analytics usable, accessible and productive in real operational environments. It’s about solving real business problems.Download Resource »»
KXEN’s Predictive Offers™ is an application built on the Cloud Prediction™ platform and enables the management of intelligent offers in salesforce.com. Next best offers are determined by 1) a prediction of the offer’s likelihood to be accepted and 2) simplified, rule-based constraints like if the customer is eligible or if there is inventory on-hand (e.g. think wait times for Apple's iPhone 5.)Download Resource »»
KXEN’s Predictive Lead Scoring™ is an application built on the Cloud Prediction™ platform and enables the intelligent scoring of leads in your salesforce.com org based on a prediction of the lead’s likelihood to convert into a qualified sales opportunity.Download Resource »»
James Taylor, CEO, Decision Management Solutions
Marco Casalaina, VP of Product Management, KXEN
Every interaction with your customers is an opportunity to build your relationship. It could be a personalized marketing offer or proactive customer service. To make sure this interaction maximizes the value of your customer relationship, many organizations are developing Next Best Activity programs. In this webinar, Decision Management Solutions’ CEO, James Taylor and KXEN’s VP of Product Management, Marco Casalaina discuss how to implement Next Best Activity using best-in-class predictive analytics and business rules to maximize the value of your relationships across the customer lifecycle.Download Resource »»
Mark Choueke, Editor, Marketing Week
Pankaj Arora, Senior Analytics Consultant, Customer Insight Team, Tipp 24
Mark Perrett, Business Consultant, HP
Matt Chouard, SVP Field Operations, KXEN
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Today's marketing is becoming increasingly sophisticated as the cloud changes the nature of customer relationships. This is driving skyrocketing demand for predictive insight so marketers can optimise every interaction in the customer lifecycle. Learn firsthand how Tipp24.com, the lottery website operated by Tipp24 Services Ltd., is using InfiniteInsight® to boost targeting accuracy of its marketing campaigns by up to 300% for its millions of customers.
David Wiseman, Telecom Business Development, Sybase
Sarah Wallace, Staff Analyst, Heavy Reading
Julien Sauvage, Director of Social Network Analysis, KXEN
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In this webinar, Heavy Reading, Sybase and KXEN discuss how social networks can act as a new source of insights into customer behavior and sentiment in the communications industry, and how service providers can use predictive analytics and data mining to leverage these insights into lower customer churn rates.
A common first reaction to KXEN’s approach to business analytics is, “That’s not how I was taught to do it!” KXEN’s approach is certainly different and as such, you might find it difficult to compare KXEN’s flagship product, InfiniteInsight® with other data mining tools. This document explains why we think our non-traditional approach to business analytics is growing in appeal and why automated predictive analytics is the way of the future.
This document is intended for anyone who thinks about how to apply data mining (i.e. both predictive and descriptive analytics) approaches to solving specific business problems, particularly within customer relationship management (CRM). It is also a useful tool for individuals who are evaluating Data Mining solutions and want to understand KXEN’s differentiators.Download Resource »»
Today, data mining is more and more extensively used by very competitive emprises. This development, brought by the increasing availability of massive data sets, is only possible if solutions to challenges, both theoretic and operational, are found: identify algorithms which can be used to produce models when datasets have thousands of variables and millions of observations; learn how to run and control the correct execution of hundreds of models; automate the data mining process. We will present these constraints in industrial contexts; we will show to exploit theoretical results (coming from Vladimir Vapnik's work) to produce robust models; we will give a few examples of real-life applications. We will thus demonstrate that it is indeed possible to industrialize data mining so as to turn it into an easy-to-use component whenever data is available.Download Resource »»
The trading activities of materials retail is concerned with an extremely competitive market. However, business people are not well informed about how to proceed and what to do during marketing activities. Data mining methods could be interesting to generate substantial profits for decision makers and to optimize the choice of different marketing activities. In this paper, we propose an actionable knowledge discovery methodology, for one-to-one marketing, which allows to contact the right customer through the right communication channel. This methodology first requires a measurement of the tendency for the customers to purchase a given item, and second requires an optimization of the Return On Investment by selecting the most effective communication channels for attracting these customers. Our methodology has been applied to the VM Mat´eriaux company. Thanks to the collaboration between data miners and decision makers, we present a domain-driven view of knowledge discovery satisfying real business needs to improve the efficiency and outcome of several promotional marketing campaigns.Download Resource »»
Data mining on networked data is a new area of research based on social network analysis techniques which has recently started to be used in industrial applications. In this article, we will describe some of the major social networks concepts. We will present KXEN's InfiniteInsight Social and show how it can be used for improving data mining models on networked data. We will then introduce a few applications in telecommunications, fraud and retail, where the use of social network analysis has brought significant improvements to data mining models.Download Resource »»
Internet sales are growing very fast, thus becoming a major target for fraudsters. This fraud is mostly perpetrated by international organized crime rings. Fighting fraud is thus critical for our socities' security. Classically, fraud detection has been implemented through data mining techniques; however, social network analysis techniques have recently emerged in the security domain. We present a methodology to use social networks together with data mining for fraud analysis and illustrate the approach through results recently obtained in an ongoing project, with transaction data provided by a major national network.Download Resource »»
Collaborative fitering has been extensively studied in the context of ratings prediction. However, industrial recommender systems often aim at predicting a few items of immediate interest to the user, typically products that (s)he is likely to buy in the near future. In a collaborative filtering setting, the prediction may be based on the user's purchase history rather than rating information, which may be unreliable or unavailable. In this paper, we present an experimental evaluation of various collaborative filtering algorithms on a real-world dataset of purchase history from customers in a store of a French home improvement and building supplies chain. These experiments are part of the development of a prototype recommender system for salespeople in the store. We show how dierent settings for training and applying the models, as well as the introduction of domain knowledge may dramatically influence both the absolute and the relative performances of the different algorithms. To the best of our knowledge, the influence of these parameters on the quality of the predictions of recommender systems has rarely been reported in the literature.Download Resource »»
See how Allociné, the world's second largest movie database, uses KXEN's InfiniteInsight® to create personalized recommendations on their website. Allociné has boosted advertising revenue by 9% through increased page views.Download Resource »»
Découvrez comment Allociné, la deuxième plus grande base de données cinématographiques mondiale, utilise KXEN pour proposer des recommandations personnalisées sur son site web. Allociné a augmenté ses revenus publicitaires de 9% grâce à l'augmentation du nombre de pages vues.Download Resource »»
Analyze your social networks
How can we identify communities and influencers and make the most of viral communications ?
Social Network Analysis (SNA) enables you to better understand and target your customers and in doing so, reach out to more people.
So how do you go about putting SNA in place and above all, what are the advantages of this approach ?
Find out more in this video interview with France-based SNA experts.
Social network analysis of Telco usage data provides insight into the impact of social networks on the customer community. Social network analysis increases understanding of buying influences, what customers’ value, and propensity to churn. Learn how progressive Telcos use this understanding to identify and influence key social network influencers.Download Resource »»
Analysez vos réseaux sociaux
Comment détecter les communautés, les influenceurs et tirer parti du potentiel de viralité ?
Le social Network Analysis ou SNA est une technique analytique qui vous permet de mieux comprendre et cibler vos clients et ainsi élargir la portée de vos messages.
Comment aborder le SNA ? Quels sont les pré-requis ? Et surtout, quels sont les bénéfices de cette approche ?
Découvrez-les en suivant l'interview vidéo donnée par les experts français du SNA.
Discover the principles of Social Network Analysis (SNA) as well as their possible applications, using KXEN’s solution, InfiniteInsight® Social. This white paper will allow you to better understand what defines a Social Network and a Social Network Analysis, what is Social Marketing, identify the possible applications of SNA, and learn more about InfiniteInsight® Social.Download Resource »»
A detailed analysis of how Sybase and KXEN's InfiniteInsight® are enabling communications services providers to harness and extract intelligence from the massive amount of customer data to reduce churn and acquire new customers. With commentary by: Sarah Wallace, Analyst at Heavy Reading.Download Resource »»
Le previsioni di perdita e acquisizione dei clienti richiedono nuovi approcci di Business IntelligenceDownload Resource »»
La prevención del abandono de clientes y la adquisición exigen nuevos enfoques en la Inteligencia de NegocioDownload Resource »»