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Full-Featured Business Intelligence for the Cloud

White Paper Published By: birst
Published:  Feb 22, 2013
Type:  White Paper
Length:  19 pages

The demand for business intelligence is strong and growing. For the past
several years, BI has been repeatedly named as the top priority by Chief
Information Officers (CIO) in Gartner’s annual CIO survey. Putting the right
information in the right hands at the right time is a clear imperative for
companies of all sizes across all industries. Yet the promise of enabling factbased
decision making remains elusive for many organizations. Too often BI
implementations are characterized by high project failure rates and are falling
short in addressing the growing need for pervasive and cost-effective BI.

A typical BI implementation using traditional on-premise tools requires the
integration of software and hardware from multiple vendors. The process of
converting raw data into useful and actionable insights suitable for business
decision making involves significant investment throughout the BI process.
The acquisition, implementation and maintenance costs quickly add up to
levels where BI becomes feasible only for those few companies who have the
requisite budget and resources. According to IDC, between 60% and 86% of the
total cost of a BI solution over three years is staffing-related1.

Birst provides business intelligence as a service. Unlike traditional and Open
Source BI platforms, Birst was designed to radically reduce overall costs by
providing a fully integrated BI suite that automates much of the manual
configuration required by other tools. Birst was developed as an integrated
solution by one development team with one goal: enabling faster, easier BI
deployments. With a Software-as-a-Service (SaaS) solution like Birst, hardware
and maintenance costs are amortized across many clients and thereby greatly
reduced. Through the use of automation, Birst also significantly lowers the
staffing costs required for a BI project for both the initial build and ongoing
development and maintenance.

Tags : 
white paper, dataversity, birst, business intelligence, cloud, cloud computing, analytics, data, data management

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