The full promise of Business Intelligence
Seven Steps to Flawless Business Intelligence
Implementing a BI Strategy
The value of Enterprise Planning
Critical Challenges for BI Success.
To be more competitive, to expand into new markets, and to improve customer service – businesses need to effectively extract, consolidate and analyze their business data in order to develop intelligent insights into their business.
The challenge is how best to combine all the data from all the diverse sources into a multi-dimensional “whole” and capitalize on it to drive the management insights and actionable information to improve decision making, and to achieve business goals.
Aviana have created a reporting solution that addresses this challenge for mortgage professionals
How strong is your firm's pipeline?
Is your company's loan origination-to-closing time growing or shrinking? How quickly?
How are interest rate fluctuations affecting volume, profitability, and head count?
The Aviana Solution combines a mortgage business data model from Aviana with Cognos ReportNet TM - the market's leading enterprise reporting software......
Aviana Enterprise Planning
Aviana MBBI Demo - Interactive
Aviana MBBI Demo - Recorded
Enterprise Planning
 
Stay on top by monitoring important business metrices - Web Seminar from Business Objects
Aviana did it again - 2nd year in a row qualified for Cognos Platinum Partner
Aviana's AFIM Product Release by the end of April 2008

Copyright © 2007. Aviananrit Private Limited. All Rights Reserved.
Business Intelligence is a popularized, umbrella term introduced by Howard Dresner of the Gartner Group in 1989 to describe a set of concepts and methods to improve business decision making by using fact-based support systems. The term is sometimes used interchangeably with briefing books and executive information systems. A Business Intelligence System is a DSS.

Business intelligence (BI) is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.

Normally describes the result of in-depth analysis of detailed business data. Includes database and application technologies, as well as analysis practices. Sometimes used synonymously with “decision support,” though business intelligence is technically much broader, potentially encompassing knowledge management, enterprise resource planning, and data mining, among other practices. Business process engineering: The analysis and re-design of business processes and associated technology systems, with the goal to eliminate or reduce redundancy and streamline interactions.