Published By: TruSignal
Published Date: Jun 03, 2013
This white paper aims to provide B2C digital marketers with a better understanding of why you may need an audience expansion technique and what questions to ask yourself before you get started. We hope to not only build an imperative for audience expansion techniques, but also to offer a guide that will help you choose the right data and right techniques for reaching more of your desired prospects online. Specifically, this white paper will discuss and differentiate two specific expansion approaches: lookalike and act-alike audiences including how they are built, the problems they solve and how to use them effectively throughout the marketing funnel.
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
Published By: OutSystems
Published Date: Apr 10, 2014
The webinar features a complex-made-simple, real-world example from Don Griest at FICO, the leading predictive analytics and decision management software company. Don discusses how the OutSystems Platform is helping FICO rapidly deliver solutions with superior quality and unprecedented time to value, thus opening up new markets for the company.
Published By: iKnowtion
Published Date: Nov 17, 2011
Learn how predictive models can improve call volume forecasting. The models provide information about how various independent factors, such as advertising, affect call volume in the short and medium term.
Published By: Aon Hewitt
Published Date: Aug 02, 2016
As the trend of moving to the Cloud continues to flow from business function to business function, other trends are emerging. As organizations transform to eliminate complex functions, standardize and integrate systems to reduce costs, and minimize nonvalue add activities, they are challenging themselves to get the most from their investment. The shift from transactional to strategic, and from reporting to actionable and predictive analytics, positions companies for growth like never before. Many organizations look to break down silos, not only within their company but also within their industries, to share lessons and leverage efficiencies from others’ learnings. Our recommendation is to start by breaking down any silos that exist between finance, HR, and IT within your organization today—and discover what moving to cloud and truly adopting the SaaS lifestyle can do for your organization.
In the early 2000s, two vastly different businesses—baseball and field service management—began to use advanced statistical analysis to gain an advantage over their competitors. They both revolutionized their respective fields by using statistical knowledge to improve performance. The new approach replaced old models and methods and attained shockingly good results as both set new standards for their respective industries.
In this white paper, you will learn the general concepts behind predictive analytics and how they can be applied to a field service organization. The paper will cover the basic metrics that should be tracked, the use of performance pattern profiles, and how these principles can predict future events.
Blue Hill provides guidance on 1) the Customer Journey leading to a
new generation of analytic tools, 2) key value propositions associated
with moving to tools such as IBM Cognos Analytics and IBM Watson
Analytics, and 3) recommendations for best practices in maximizing the
value of insightful and predictive analytics for enterprise data.
Download this free e-guide to gain an understanding of predictive analytics concepts, how to align your data sources to unlock the value of the data in your organization, analyze the correlations, and reap the benefits of analytics in optimizing sales performance.
View this online demo to learn how leading retailers are using market basket analysis to gain insights into buyer patterns to offer products and promotions that match shopper preferences and behaviors as well as to link purchases to specific buyers to create tailored offers.
This paper from IBM describes how to build a proactive threat and risk strategy based on predictive analytics; examples of how organizations used predictive analytics to minimize the negative impact of risk and maximize positive results; and steps to advance your organization's use of predictive analytics to combat threat and risk.
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.