This White Paper is Sponsored by:
About the White Paper
Big Data strategies—those that use massively parallel, specialized systems to tap the intelligence held in high volumes of distributed, unstructured data—are changing industries, and creating winners and also-rans. Invaluable information, culled from data collected at customer interaction points, is being used to drive product and service development, marketing and other activities to achieve unprecedented gains in market share, wallet share, revenues and loyalty.
These Big Data Analytics concepts aren’t new—companies like Harrah’s, American Airlines and Wal-Mart pioneered them long ago—but they’re now feasible for more organizations to attempt. Where once only resource-rich organizations could afford to leverage Big Data and focus on centralized, information-rich data sources, now enterprises of all sizes can apply Big Data strategies to larger collections of distributed, less structured data—if they employ the right tools and techniques.
This white paper discusses why Big Data matters – and analyses a tiered approach and strategy to launch a successful Big Data initiative.
Birst brings the benefits of fact-based decision making to a much broader audience than ever before by providing enterprise-class analysis and reporting that is quick to deploy, easy to use, and affordable. Founded in 2005 by Business Intelligence experts, we witnessed firsthand the power of enterprise-wide BI platforms, but were dismayed to see how the fragmented offerings, complexity, and high costs inhibited widespread adoption.
With the rise of powerful Cloud-based technologies, we recognized we could build a robust, multi-tenant BI platform that would unify the traditionally siloed BI technologies, automate critical data management tasks, and greatly reduce complexity—speeding deployments and reducing overall costs. We wanted to deliver real BI—more than a simple charting engine for one or two data sources and one that did not assume that IT had already built a data infrastructure ready for analysis. It would address a business’ entire analytics needs across all data sources, transforming raw data to analysis-ready information. It would empower business users to make meaningful business decisions without the constant involvement of IT.
We call our approach Agile Business Analytics—a single place to manage all of your organization’s analytics along with the agility to answer questions that span departments, data sources, and deployments. Today Birst gives users the fastest way to answer their most pressing business questions, and, the ones they didn’t know to ask.