Financial forecasting takes time, but it is an integral part of the decision-making process in an organization. Financial teams should use analytics to alleviate some of the tedious work in forecasting and present more options to executive teams, allowing for better business decisions.
Pricing transparency is as at an all-time high: Consumers can find the best deals on merchandise in a matter of minutes with an online search, and retail price-comparison apps have become mainstream. As a results, retailers are turning to analytics to bring new precision to how they price goods.
The words "big data" and "consumer" are inextricably intertwined in the world of business-to-consumer organizations: e-commerce, retailing and consumer banking, to name just a few. As healthcare follows in the steps of these industries and becomes more "consumerized," providers need to consider how
In the wake of EHR rollouts, analytics and digital health are driving patient care and patient engagement. Venture capital-funded startups are disrupting traditional markets. Thus, traditional players are consolidating and forming new alliances. One thing is clear: Analytics is at the heart of
Retargeting has dominated the market in 2015, and it is increasingly becoming more sophisticated in delivering the right messages and products to online shoppers. Consumer products companies can use the technology in conjunction with big data analytics to target shoppers within a specific region or
In today's always-on world, brands that utilize real-time predictive analytics impress audiences with their immediate and agile nature. New technologies are quickly gaining traction, particularly those that allow brands to be spontaneously responsive to customers' needs while engaging in
In an increasingly competitive and polarized marketplace with rising customer expectations, the traditional means of competitive differentiation are being challenged as never before. To respond, retailers need to evolve their focus to become customer-centric in both strategy and execution. This
Using a powerful big data platform from IBM, Vanderbilt University School of Medicine clinicians cut research timelines from nearly a year to only a few weeks to help accelerate the pace of discovery and, ultimately, improve patient health.