Frontline Systems is shipping a new product line release for desktop and cloud, Version 2017 of its Solvers for Excel and AnalyticSolver.com, its SaaS equivalent. The new release unifies and simplifies Frontline’s products, makes learning predictive and prescriptive analytics accessible to everyone at very low cost, is easier to upgrade for larger models or data sets, and is easier to use across multiple desktop machines and the cloud.
Account-based marketing (ABM) – and the related technology of predictive lead scoring – is dramatically changing the face of sales and marketing. The difference is like spearfishing when all you’ve known before is dragging a net. It’s much more precise and uses analytical processes to ensure that your efforts are focused on the results your organization needs and your leads are more efficiently converted to sales. For enterprise sales, ABM is critical because B2B sales are much more tightly focused than B2C sales.
Cathy O’Neil, an industry insider and experienced expert, thoroughly covers the sociological downside of data science in her New York Times bestseller and first-of-its kind book, “Weapons of Math Destruction.” In the world of big data, there’s a lot of music to be faced. With all its upside, data science’s deployment risks being prejudicial, predatory, exploitative, buggy, blindly trusted and secretive. And it has the potential to magnify the consumer’s personal economic struggle rather than remedy it.
Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can include the use of pre-hire assessments? As costs of failed new hires continue to rise, recruiters and hiring managers are looking for any kind of pre-hire information to increase the probability of making a great hire.