Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling.
Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage.
Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
Published By: iKnowtion
Published Date: Sep 14, 2010
The terms "customer segmentation" and "customer predictive modeling" are often used interchangeably, however, they're very different and support different business objectives. This paper explains why both are required to effectively compete in today's customer-centric marketing landscape.
Published By: Datarobot
Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
Published By: IBM APAC
Published Date: Mar 19, 2018
IDC Analyst Report: A New Breed of Servers for Digital Transformation
Most organizations today are on a digital transformation journey and a server infrastructure is a critical component of that journey. Read the IDC Analyst Report “A New Breed of Servers for Digital Transformation" to find out:
• A roadmap for servers in three stages - from running simple stateless web applications to adopting open source DBMSs to cloud to predictive modeling
• How you can take advantage of OpenPOWER-based infrastructure from a price/performance perspective
• Ways to lower your IT spend and increase your workloads with minimal investment
Published By: Epsilon
Published Date: Oct 19, 2012
Unlock the Mystery of Predictive Modeling -- Retailers that use customer transactional data to their advantage, coupled with other database elements, can learn how to build solid customer relationships and strengthen their ROI.
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.
Seeing into the hearts and minds of our customers is impossible; but this article describes how Data Mining techniques can be used to create strategies and tactics to increase customer retention and value.