Today’s applications are generating an unprecedented amount of data from diverse sources within your enterprise, extending out into the physical world where any device is capable of capturing important signals for analysis.
The volume of data being generated is increasing at dizzying rates. Highly unstructured, raw data can tell a story of your operations environment and your customers in a way that we can now tap efficiently at scale.
“So where do you start? Think of big data as an engine. To boost performance, it’s a matter of assembling the right components in a seamless, stable and sustainable way. Those components include”:
Data Sources: operational and functional systems, machine logs and sensors, Web and social and many other sources Data Platforms, Warehouses and Discovery Platforms: that enable the capture and management of data, and then – critically – its conversion into customer insights and, ultimately, action.
Big Data Analytics Tools and Apps: the “front end” used by executives, analysts, managers and others to access customer insights, models scenarios and otherwise do their jobs and manage the business.
Why Is Big Data Important?
1. Determining root causes of failures, issues and defects in near-real time.
2. Generating coupons at the point of sale based on the customer’s buying habits.
3. Recalculating entire risk portfolios in minutes.
4. Detecting fraudulent behavior before it affects your organization.