In the age of complex data, augmented analytics is transforming business intelligence and unlocking insights that are impossible to observe in a traditional BI platform. This white paper explores the three core principles of Augmented Analytics to help you understand how they can benefit your organization.
The Age of Complex Data is changing the way we work, and businesses are looking for new ways to solve data challenges—particularly at the operational level. The rise of analytic and data integration technologies is driving demand for an ever-expanding arsenal of new tools, which can help companies improve business performance by better understanding their customers and products.
This is the present day, in which decision makers are drowning in high volumes of information, often missing the forest for the trees. That's why Augmented Analytics can help businesses make better decisions, faster. Data is the new oil. With so much data being generated each day, and with an increasing focus on extracting meaning from that data, there's a real chance for businesses to unlock new and richer insights — insights that can help them make more informed decisions — if they use it well.
Increasingly data-driven companies are being challenged to identify what information they need to capture, process and make actionable based on the ever-increasing flood of data they must analyze. To do this they need advanced analytic platforms that can deliver comprehensive views of their interconnected datasets. At a time when many organizations are struggling with limitations on data depth, availability, and velocity as well as budget constraints analytic platforms are becoming more difficult to find and deploy than ever before. By comparison, enterprise-grade big data platforms offer businesses an opportunity to finally leverage the power of their data assets – in real-time – from any device or location around the world with no installation requirements!
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