Whether you work in marketing, customer service, sales, finance, operations or another area of your business, IBM predictive analytics software puts a wealth of advanced capabilities at your fingertips, anywhere you need them—on premises, on cloud or as a hybrid solution.
The practice of using predictive analytics for marketing is becoming much more commonplace, but, in many ways, this field is still immature. Marketers are using analytics to identify new prospects, qualify leads, predict close rates, and optimize pricing, but there are still many ways to refine these methods -- along with many pitfalls to avoid.
Download this white paper to learn how to win the B2B marketing analytics poker game.
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.
Over the past few decades, marketing has evolved from a hunch-based and immeasurable practice to one driven by data, analytics, and software. Marketers now work with advanced software and myriad channels to identify new prospects. However, today’s marketers face new challenges. This guide will dive deep into those challenges, identify key trends, and introduce the concept of marketing intelligence.
Market expansions are a viable strategy when a company’s growth in an existing market has stalled. However, marketers often rely on intuition and qualitative data to inform decisions around market fit and size. In this whitepaper, marketing technology expert, David Raab, explores how the shift in data and predictive solutions streamlines the market expansion process. The paper will reveal 4 keys to a successful market expansion, common mistakes to avoid, and show marketers how to win customers in new market segments.
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.
Driving the right interaction at the right time.
This paper examines the need to uncover and understand the
dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
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.
In a recent Aberdeen Group Analyst Insight report,1 Asset Management: The Changing Landscape of Predictive Maintenance, a survey of executives states that the number one risk to operations was failure of their critical physical assets —ensuring that they are available, reliable and performing as originally intended. Though, such a risk can become an opportunity. Top-performing companies rely on analytics related to maintenance, safety and replacement equipment to plan for capital expenditures, manage their assets on a daily basis and maximize asset performance.
HP Proactive Care helps prevent problems and stabilize IT by utilizing secure, realtime, predictive analytics and proactive consultations when your products are connected to HP.
• Problem prevention
• Predictive analytics for proactive reports
• Personalized consultation with a Technical Account Manager
• Rapid access to advanced technical experts
Download this customer brief now.
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
Watch this video to see how Denmark’s leading retailer, Coop Danmark, is using predictive analytics and real-time data access to understand customer demand and make more profitable merchandising decisions.
For banks today, having more ways to communicate with customers is a good thing. But it has also made it harder for banks to figure out where and how to most profitably commit their marketing resources.
Leveraging predictive analytics, First Tennessee Bank is applying the ultimate acid test. It’s combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI.
First Tennessee’s ability to target its campaigns more intelligently has increased its response rate by 3.1 percent, cut key marketing costs by nearly 20 percent and enables the bank to get the most from its resources.
In a competitive landscape that favors the fastest and the smartest, financial services firms that invest in building sophisticated insight and predictive analytics will be better positioned to emerge as market leaders.
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: 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.
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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.