How to Stay Ahead of a Crisis, and What to Do if You Can't

Discussion Topics: - What is a data story - When and how should data storytelling be used - Which new skills and techniques do you need to create compelling data stories - Which experiences can help tell your story beyond dashboards on a 2D screen

Businesses succeed when they can extract more contextual, relevant, and predictive insights from ERP data in real time. ERP analytics can deliver more powerful data-driven insights if deployed in a cloud-based platform. The scalability of cloud-based data repositories—such as data lakes and data warehouses—can allow more users to concurrently query, explore, correlate, analyze, and visualize more ERP data more rapidly than would be possible on many on-premises analytics platforms.

The number of sources generating continuous, streaming data has exploded in recent years. From website clickstream data to telemetry data from Internet of Things (IoT) devices, the variety, volume, and velocity of data continues to increase. In response, businesses are evolving their analytics approach from batch to real time, and turning to new tools to deliver actionable insights in seconds instead of hours or days. With AWS, you can easily and cost-effectively collect, process, and analyze real-time streaming data at any scale, so you can learn what your applications and customers are doing right now—and respond immediately.

We all strive for great data and insights to feed into decisions that propel business’ forward. In today’s fast-spinning world we need to do that ever more quickly and cost-effectively. But when moving quickly, the research participant and their needs can be forgotten, and this can have negative consequences for data quality.