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Technology Architectures - White Papers

See the most recent technology architectures whitepapers below.

Find out more about how your organization can post a paper.


Demand and Sales Funnel Analytics—How Forward-Thinking Marketing Organizations Deliver Competitive Differentiators

Demand and Sales Funnel Analytics—How Forward-Thinking Marketing Organizations Deliver Competitive Differentiators

03/10/10

Designed for the marketing operations manager and executive, this series of Sirius Decisions research briefs focuses on the emergence of Marketing Operations and its increasing adoption of demand and sales funnel analytics to drive best-in-class performance and deliver competitive differentiators.


Metrics-Based Sales Productivity—Delivering Dividends for Forward-Thinking Sales Organizations

Metrics-Based Sales Productivity—Delivering Dividends for Forward-Thinking Sales Organizations

03/10/10

Designed for the sales executive, this series of Sirius Decisions research briefs focuses on the advent of metrics-based sales productivity. New approaches are being embraced and delivering dividends to forward-thinking sales organizations


Data-Driven Marketing

Data-Driven Marketing

03/10/10

This report examines how organizations are using data to impact marketing performance and marketing effectiveness. For example, VITAS has been using IBM Cognos TM1 for over 10 years for everything from complex expansion planning to health care regulatory compliance, realizing numerous benefits. Read how in this case study.


An Architecture for Software-as-a-Service (SaaS) Business Intelligence

An Architecture for Software-as-a-Service (SaaS) Business Intelligence

03/03/10

This white paper discusses how companies are exploring and successfully implementing SaaS to support on-demand business intelligence across all levels of their enterprise


Aster Data nCluster: A New Architecture for Data Analytics

Aster Data nCluster: A New Architecture for Data Analytics

03/02/10

Aster Data's nCluster brings a forward-looking, exciting new design for analytic data requirements. With its massively parallel architecture; its use of commodity hardware; its focus on scalability, availability and manageability; and its rapid innovation via the integration of MapReduce and other features, Aster Data's nCluster offers users a distinctive set of capabilities in a promising new design.


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.


Business Drivers and Enabling Technologies for Clickstream Data Warehouse Initiatives

Business Drivers and Enabling Technologies for Clickstream Data Warehouse Initiatives

02/04/10

Dramatically reducing the time, cost and effort required for integrating large amounts of Web data can radically simplify an organization’s ability to analyze online visitor behavior via a clickstream data warehouse (CDW). Learn how to optimize your CDW and: • Gain greater insight into online customer behavior • Make more strategic decisions based on actionable data • Increase margins, lower costs and improve bottom line • Increase staff productivity


Lean Integration White Paper

Lean Integration White Paper

01/25/10

Lean software development is an agile approach that translates Lean manufacturing principles and practices to the software development domain. Learn how Lean principles can be applied in various integration domains.