Topics: artificial intelligence, talent management, customer experience, analytics, AI, business intelligence, business analytics, business objectives, augmented analytics, machine learning, data, innovation
Topics: productivity and employee engagement, artificial intelligence, talent management, customer experience, analytics, AI, business intelligence, business analytics, business objectives, augmented analytics, machine learning, data, innovation, employee engagement
Performance management solutions of today must drive long-term value creation by aligning corporate goals with that of employee Key Performance Indicators (KPIs). One way to achieve both strategic value and shareholder value is by improving employee engagement through democratization of performance management.
Topics: enterprise performance management, productivity and employee engagement, performance improvement, kpi, AI, business analytics, employee performance, augmented analytics, kpi dashboard, data, innovation
Analytics Magic: Calm Technology + Context-Aware Computing -- Three steps to take now to prepare for the adaptation revolution
Take a moment to think about how many times you’re interrupted by your phone or computer in a day. DING – new email. RING – someone’s calling. BUZZ – text message. DING – two more emails. POP-UP BANNER – new Instagram/Facebook/Twitter/LinkedIn notification. BUZZ – another text. And that’s just in the span of five minutes!
There’s no denying data plays a crucial role in business decision making, but organizations today face a conundrum of a different kind. In many cases, the abundance of analytics and dashboarding can be as overwhelming as the flood of data that preceded it.