News

Agile BI with Automated, Real-Time Data Collection

Posted in: Business Intelligence - Oct 28, 2010

Nowadays, companies must incorporate Web data into their intelligence and analysis tools to compete. In some industries it’s a matter of survival. The reason? The accumulation of real-time Web data is dramatically outpacing traditional business intelligence (BI) and information management data. Real-time data is where the answers are. It’s where market and customer trends are immediately identifiable. It’s where deals will be won and where winners will claim their trophies.top

America’s Leading Bank Gets a Single View of Its Customer on a Zero License Cost Solution

Posted in: Business Intelligence - Oct 28, 2010

When America’s leading bank wanted to improve its client service with the implementation of a comprehensive CRM system, it was missing a critical piece of the implementation: comprehensive, clean, and consistent data, and a process framework to maintain the quality of the data. Its client data resided in multiple, disparate sources, including databases, Excel spreadsheets, and legacy systems. Extracting the client data from disparate systems, cleaning the data, and creating uniform records and one single view of each client seemed a lengthy, overwhelming and expensive task.top

elasticBI – The Managed SaaS BI Platform

Posted in: Business Intelligence - Oct 28, 2010

In the past few years, a new model of hosted business intelligence has arisen in the marketplace. It’s called SaaS BI, meaning BI software (delivered) as a service. A host of new SaaS BI vendors promise query, reporting, dashboards, and analytics on a virtual platform, with a low monthly cost and unlimited growth potential. They promote a quick and easy implementation, with minimal involvement by corporate IT departments. Users need only bring their data to the vendor, and within a short period of time are in full production of reporting and analytics. The SaaS BI vendor provides technical guidance and support to make the BI project a success. Unfortunately, this new model has fallen short of its promise, for several reasons. Fortunately, there are several “megatrends” in the market today that can relieve these problems, and make a reality of SaaS BI.top

Enhancing Decision Making, Cost Efficiency, and Profitability with Predictive Analytics

Posted in: Business Intelligence - Oct 27, 2010

This paper discusses the incorporation of predictive modeling capabilities into the WebFOCUS BI platform and highlights how this advanced functionality can dramatically improve decision making, thus reducing risk and costs while increasing revenues and profits.top

Enhancing Decision Making, Cost Efficiency, and Profitability with Predictive Analytics

Posted in: Business Intelligence - Oct 27, 2010

This paper discusses the incorporation of predictive modeling capabilities into the WebFOCUS BI platform and highlights how this advanced functionality can dramatically improve decision making, thus reducing risk and costs while increasing revenues and profits.top

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