How Companies Achieve Success by Migrating From Traditional BI to Agile Business Analytics

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About the White Paper

Lyndsay Wise, Gleanster

Download NowThe word agile is widely used today within the business intelligence industry to describe a key aspect of business intelligence (BI) and business analytics (BA) delivery and use. Infusing agility—commonly defined as the ability to be quick and nimble—into the way an organization interacts with its analytics platform is essential when it comes to maximizing the value it derives from both internal and external data sources. Yet this notion of being agile means different things to business decision makers, IT developers, and solution providers, resulting in some confusion as to what the use of the word agile truly encompasses and how broadly, and in what context, it can be applied across the organization. This confusion can lead to a more general misunderstanding surrounding the market place and how analytics are, in fact, shifting toward greater degrees of agility.

This Dive Deep analyst report looks at the process of building an environment for what can be aptly termed Agile Business Analytics. The process includes identifying what organizations need to have in place before adopting or expanding their business analytics access.

About Birst

http://www.birst.com/

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.

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