Data Science – Revelwood Knowledge Center
Data Science – Revelwood Knowledge Center

We’ve worked with hundreds of companies who primarily measure their customer relationships with one metric: Net Promoter Score (NPS). NPS measures customer experience and predicts business growth by asking one simple question: how likely are you to recommend the company’s product or service? The score is calculated on a 0 – 10 scale based on the response, with those scoring 9 – 10 considered “Promoters,” those scoring 7 – 8 considered “Passives,” and those scoring 0 – 6 considered “Detractors.” The … Read More


Have you thought about how to turn financial forecasting into a competitive advantage? In today’s disruptive, high-stakes economy, maximizing any and every competitive advantage can mean the difference between just surviving versus thriving. And if you did turn your standard forecasting activities into a competitive advantage, what would that mean for you and your team in the Office of Finance? A new report from the Financial Executives Research Foundation (FERF) makes a strong argument for how and why forecasting can … Read More


According to a report from the IBM Institute for Business Value, 89% of cognitive computing adopters are more profitable and more innovative than their industry peers. That’s an incredibly strong argument for embracing – or if you are not yet ready, exploring – cognitive computing. Think of the impact greater profits and innovation could make on your organization. Could it position you to be a disruptor in your industry? Could you finally beat the competitor with whom you’ve been neck-and-neck … Read More


Justin Croft, Predictive Analytics Practice Leader, Revelwood. www.revelwood.com

Marketing leaders—those outperforming their peers—recognize that cognitive computing and artificial intelligence technologies are game-changers for marketing. The IBM Institute for Business Value recently conducted a study examining how likely Chief Marketing Officers (CMOs) and heads of sales are to embrace cognitive computing. The Institute surveyed 525 CMOs and 389 heads of sales across 18 industries. The research found that: 88% of the outperformers believe they are ready to adopt cognitive computing 91% of the outperformers believe that cognitive computing will … Read More


The Wharton Customer Analytics Initiative (in which we participate) defines customer analytics as “the collection, management, analysis and strategic leverage of a firm’s granular data about the behavior(s) of its customers … Customer analytics can be characterized as behavioral, longitudinal, inherently granular, forward-looking and multi-platform.” While that may sound very academic – it is, after all, coming from one of the preeminent business schools in the nation – the reality is that customer analytics is being used today by many … Read More


Justin Croft, Predictive Analytics Practice Leader, Revelwood. www.revelwood.com

Nearly every company we work with has some amount of unstructured or text-based data that they collect from their customers and operations. Data from surveys, notes typed into CRM systems, emails, and more – all these unstructured text data sources can be a wealth of insight. And while everyone has this data, no one we’ve met is satisfied with the way they are leveraging text-based data. IBM’s SPSS Modeler product includes a solution to this challenge – its Text Analytics … Read More


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