In this paper – which is based on a webinar hosted by the Direct Marketing Association (DMA) and sponsored by SAS – we will take a look at how these technological advancements can enable you to become more predictive and prescriptive in your digital and integrated marketing efforts.
Published By: SugarCRM
Published Date: Jan 20, 2015
After an initial rollout to more than 45,000 sales users, IBM wanted even greater insights. Thanks to the high usability of Sugar, IBM was able to increase sales data quality - which has gone on to power predictive sales analytics. Learn how IBM and SugarCRM are driving more effective sales teams.
Most enterprises understand the importance of listening to customer comments and conversations through social channels, and engaging and developing relationships with influencers and customer communities. But as the variety, volume, and velocity of social data continues to grow, many organizations are looking for cost-effective ways to use this data to get a better understanding and more holistic view of their customer. Social provides a unique channel to learn about your customer, and offers real-time insights like interests, actions, likes and dislikes that can provide invaluable behavioral and predictive data patterns. This social data (when aggregated with enterprise CRM data) reveals a more complete picture and understanding of customers.
When you have voluminous data sets growing at an unabated rate, in formats that are unique and complex, how do you address your backup and recovery needs? While relying on traditional backup and recovery solutions can complicate matters, a better approach is to use a solution that enables your IT organization to make decisions that are more intelligent by integrating predictive analysis and an adaptive approach to backup and recovery.
AgilOne is a cloud-based predictive intelligence company that is experiencing a high growth rate. The company needed to find, and quickly deploy, a scalable storage solution to support its big data performance and future scalability requirements. Today, utilizing its 3PAR StoreServ storage solutions, AgilOne boasts a lower cost per terabyte, higher efficiency, and the ability to rapidly accommodate its new customers.
Everyone is talking about predictive analytics these days, but what does it mean for B2B marketers? Find out how top demand generation professionals are using predictive applications powered by leading edge data science to optimize all stages of the funnel. Read Lattice Engine’s latest ebook, Decoding Predictive Marketing, and learn where predictive fits into your marketing mix.
Published By: Sailthru
Published Date: Jul 01, 2015
The ability to know the next action of an individual customer is gold, quite literally, as this knowledge translates directly into revenue. True predictive intelligence has arrived, and it’s one of the most incredibly exciting advancements in modern marketing. With good reason given that for many brands as much as 95% of future revenue comes from a mere 5% of customers! But with any major advancement, messaging landmines threaten a marketer’s ability to identify the technologies that can actually deliver on the predictive promise.
Published By: CrowdTwist
Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them.
Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning.
With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
The closer your organization gets to your customers, the more successful it will be. Learn how to take customer relationships to a new level of intimacy using a combination of business intelligence and predictive analytics software.
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
2 Page Written Case Study on Consolidated Communications that discusses the challenges they were facing and how IBM's Predictive Insights capability helped them find problems in their network infrastructure before they actually occurred.
Published By: Marketo
Published Date: Jul 12, 2017
As a marketer, you face daunting expectations and goals. You are probably expected to generate successful outcomes in less time, and in a digital age where everything can be measured, you probably feel increased pressure to illustrate the impact you are driving. But without the right tools and processes in place, hitting your goals and demonstrating the results is difficult, time-consuming, and stressful!
Marketing automation can help you scale your programs, deliver more personalized and targeted communications, align with sales, and measure effectiveness. Download this ebook to explore 10 reasons you may want to consider marketing automation to support you through the sales cycle, from attracting and engaging leads, to closing the deal.
Learn how to build a proactive threat and fraud strategy based on business analytics. You’ll see extensive examples of how organizations worldwide apply IBM Business Analytics solutions to minimize the negative impact of risk and maximize positive results.
Hurwitz & Associates announced the findings of its inaugural Victory Index for predictive analytics. This assessment highlights both the diverse uses of predictive analytics and vendors who make those applications.
Published By: Crownpeak
Published Date: Jun 03, 2015
Enterprises have long personalized their visitor's web experiences, typically through product recommendations or basic user segmentation. However, today's customers demand more real-time, in-the-moment experiences that meet their needs whenever, wherever. The technology behind this level of personalized marketing continues to advance by adding situational, predictive and real-time elements to keep up with customer expectations.
Marketing technology is the fuel on which modern marketing organizations run. As the marketing technology landscape rapidly expands, CMOs are desperately trying to keep up with an evolving stack. Technology is taking over marketing. Rather than detailing an exhaustive list of available technologies, this will present an overview of the current marketing technology landscape. It will include trends, challenges, and advice to marketing leaders navigating the turbulent and dynamic space.