Analytical Applications

Improving your company's efficiency and effectiveness, no matter its size. This white paper from SAP offers guidance on how to improve the efficiency and effectiveness of your company with business intelligence.

Designed for the sales executive, this series of research briefs focuses on the advent of metrics-based sales productivity and the new approaches delivering huge dividends to forward-thinking sales organizations.

Sales Force Productivity, Sirius Decisions: This brief video looks at the keys to improving overall customer satisfaction by looking at customer behaviors and the insights they provide.

This brief video explores the issues and the data required to improve sales forecasting accuracy, including the capacity to conduct historical and aggregated multi-dimension analysis.

Customer Satisfaction: Deliver More Revenue, Sirius Decisions: This short video explores the issues and the data required to drive better sales enablement, performance and productivity.

This report examines how top performing companies are implementing sales intelligence initiatives to increase pipeline quality and contextualize opportunities with relevant information.

How forward thinking marketing organizations deliver competitive differentiators.

This paper discusses how Post-Discovery Intelligence provides a radically different approach to delivering information - by focusing on eliminating the limits on the sources and types of information that can be accessed and at the same time provides a much more flexible environment for taking action on the valuable information that is retrieved.

Many businesses are totally dependent on critical computer-based services for their operations. Yet only 50 percent of businesses have a plan for maintaining the availability of these computing services in the face of unplanned computer downtime.

Companies have invested huge amounts in new applications to deliver better and more cost-effective services to their customers. However, studies have shown that more than 40% of software applications are released with critical defects.

This white paper demonstrates that a data grid infrastructure, built with clustered cahing, can help you avoid "weak link" vulnerabilities that can sabotage SOA strategies. Discover why the data grid offers improved data access that can create a competition

This free white paper details key steps for achieving a superior data management strategy-a 'must have' capability for applications to operate with extreme, predictable performance and scalability.

Solve problems with bandwidth, connectivity, network and application performance quickly and easily. Get started today! Free for 21 days, sign up in 60 seconds.

This report describes a research project that investigated how organizations are attempting to improve specific decisions.

This research program is an online survey of C-level executives at leading large and midsize companies who are members of the BusinessWeek Market Advisory Board, an online panel of 20,000+ business leaders and executives.

The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.

If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?

This whitepaper will demonstrate how Progress Software can empower your company to respond to changing conditions and business events as they occur, enabling business leaders to capitalize on commercial opportunities, drive greater efficiencies in their organizations, and reduce risk.

This white paper examines the challenges organizations face and the steps they can take to protect themselves and their customers against data breaches and ensure the safety of this sensitive information.

This report reveals how Best-in-Class firms distinguish themselves from all others by routinely benchmarking and measuring their service performance; implementing effective measuring, monitoring and tracking systems; integrating service KPIs with company-wide CRM or ERP systems, wherever possible; and establishing a formal process for automatically collecting and disseminating data.

Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.

In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.

There are success stories of businesses that have implemented Business Service Management (BSM) with well-documented, bottom-line results. What do these organizations know that their discouraged counterparts don't?

Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.

For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.