Augmented Analytics is one of the latest data and analytics trends that is gaining considerable traction. Many organizations have realized the importance of Big Data and its role in decision-making across the business. However, this sheer volume of data available to organizations is making effective interpretation a real challenge. According to Forrester Research, less than 0.5% of all data is ever analyzed and used. In contrast, a mere 12% of enterprise data is used to make decisions.
According to IDC Forecast, this will only make it worse with the growth in IoT-connected devices, which is expected to generate 79.4 Zeta Bytes (ZB) of data across 41.6 billion devices. We talk about how leveraging augmented analytics will greatly accelerate transformation projects in enterprises and the typical roadblocks to AI adoption for decision analytics.
We also discuss how organizations can adopt augmented analytics technology, including connecting disparate and live data sources, finding relationships within the data, creating visualizations, and helping human users effortlessly share their findings across the entire organization.
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