The Four Pillars of Analytics
Every data-driven decision relies on a progression known as the four pillars of analytics. Together, these frameworks help organizations move up the maturity curve to unlock the true value of their information.
It all starts with descriptive analytics, which looks strictly at historical data to answer what actually happened in the past. Once you know the outcome, diagnostic analytics digs deeper to uncover the root causes, figuring out why those events occurred.
Looking ahead, predictive analytics uses patterns from historical and current data to forecast what is likely to happen next. Finally, prescriptive analytics takes things a step further by recommending specific actions or strategies to achieve the best possible outcomes and steer future decisions.
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