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Predictive Analytic Solutions White Papers

See the most recent predictive analytic solutions whitepapers below.

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MicroStrategy Dynamic Enterprise Dashboards for Financial Services

MicroStrategy Dynamic Enterprise Dashboards for Financial Services

03/03/10

Many banks and financial services organizations use MicroStrategy Dynamic Enterprise Dashboards to improve the level of service they provide to account holders. These companies develop BI applications in five distinct areas: Customer Analysis, Operations and Financial Analysis, Sales and Marketing Analysis, Product Analysis, and Risk and Fraud Analysis. This white paper illustrates the types of dashboards possible for the financial services industry.


In-Database Analytics: The Heart of the Predictive Enterprise

In-Database Analytics: The Heart of the Predictive Enterprise

03/02/10

Visionary organizations are adopting an emerging practice known as “in-database analytics,” which supports more pervasive embedding of predictive models in business processes and mission-critical applications. With in-database analytics, enterprises migrate their predictive analysis (PA), data mining (DM), and other compute-intensive analytic functions from separate, standalone applications to execute in the enterprise data warehouse (EDW). Doing so allows IT professionals to leverage the EDW’s full parallel-processing, scalability, and optimization features. In-database analytics can help enterprises cut costs, speed development, and tighten governance on advanced analytics initiatives. Business process and applications (BP&A) professionals should implement in-database analytics in conjunction with ongoing efforts to consolidate and scale their EDW.


Evolving from Departmental Islands of BI to a Cohesive Enterprise BI Environment

Evolving from Departmental Islands of BI to a Cohesive Enterprise BI Environment

01/06/10

Enterprise BI environments help ensure a single version of the truth and a low long-term cost of ownership, while providing high performance, scalability, and rapid application development. However, achieving enterprise BI can take several months or years, and in the meantime, departments need access to fast, reliable BI. As a result, small departmental "islands" of BI surface throughout an organization, designed to satisfy immediate business needs. Although convenient, these applications lead to multiple versions of the truth and incur high costs of ownership. The solution, therefore, is to gradually consolidate departmental BI applications into a cohesive enterprise BI environment.


Enhancing Decision-Making, Cost-Efficiency, and Profitability With Predictive Analytics

Enhancing Decision-Making, Cost-Efficiency, and Profitability With Predictive Analytics

08/26/09

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.


Technology for Operational Decision Making Whitepaper

Technology for Operational Decision Making

08/01/09

This white paper, by James Taylor and Neil Raden, discusses the need for companies to become decision centric by adopting enterprise decision management techniques and technology. It also outlines the benefits of adopting EDM, as well as the risks and issues with adopting EDM and applying technology to automating and improving operational decision making.