Turning Data into Decisions with Augmented Financial Analytics
It’s the beginning of the year—a time to home in on what’s really going to make a difference for your company. For today’s executives, this often involves leveraging analytics in powerful, predictive, and decisive ways.
Today’s CEOs, CIOs, and CFOs want their analytics do more than provide insights. They want analytics to make accurate predictions so they can make better decisions. Only then can executives act in smart, efficient ways as they move the business forward. Information moves fast today, and today’s executives need to be able to act quickly as things continually morph and change.
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Every analytics use case begins with a question. In the past, executives asked questions that focused on their company’s current state of affairs. With descriptive analytics, executives could gain historic and year-over-year metrics.
With the introduction of machine learning, executives could start asking questions about the future of their company. Predictive analytics gave executives a competitive advantage, making it possible for them to prepare for the coming days, months, and years.
Now, we’re officially enjoying the age of prescriptive analytics. Not only can we gain a clear sense of what our company is facing today and what it will face tomorrow. We can also turn our data into decisions. We can know what will happen next. We can understand how it will impact our business. And we can even be confident about the steps that we need to take moving forward.
Executives need to make critical decisions every day. Core to relying on their data and analytics is the certainty that their data and analytics are reliable.
Oracle Analytics’ technology provides a single version of truth. There’s no need for a company to manage maintenance or data transfer. As a result, there’s no possibility for human error.
Armed with Augmented Analytics, executives know that they can trust their insights and decisions.
Within the past 10 years, enterprises have pursued digital transformation and scaled by upgrading their business intelligence systems and analytics platforms. While IT teams have done this successfully, finance and senior management teams have fallen behind.
