| Title | Date Added | Company | |
|---|---|---|---|
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Online Data Collection & Management: Part 2 - Strategies for Capturing and Delivering Value-Rich Data | 2008-06-24 | Accela Communications |
| Whether the organization is a mid-sized company, a small start-up business, or a publicly traded corporation, good data collection techniques are essential for acquiring information that can be utilized effectively throughout an organization for competitive advantage. The form itself is the starting point for the data collection process and the design layout and field structure can have a tremendous impact on the integrity of the data. User supplied data can often be inaccurate or incomplete, so the more attention paid to the structure of the form, the more likely people are able to collect information that is useable and provides value. Once the data is captured, the next stage is cleaning, classifying and delivering it to one or many points of contact, whether they are internal or external.
Tags: Data Tools |
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Online Data Collection & Management - PART 3: Integration With Web Sites and Enterprise Applications | 2008-06-24 | Accela Communications |
| The immediacy of the web offers companies a fast, efficient method of capturing and processing registration data for events, training, market surveys, customer feedback, promotions, webcasts, lead generation, or other data collection programs. However, the complexity of developing a truly integrated web-based data collection system often requires involvement and support from technical staff or web designers who are facing multiple demands. Many outsource options exist, but they are often costly, require lots of set up time, are not centralized and allow for little if any customization. The ideal scenario is a flexible and robust online data collection and management tool that can be set up quickly, while seamlessly interfacing with existing web sites, CRM or SFA applications.
Tags: Data Tools |
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Online Data Collection & Management - PART 4: Mining Data Captured Through Your Web Site | 2008-06-24 | Accela Communications |
| Web sites are a major source of data for companies and the value of this asset is often determined by the ability to sift through it. In business environments, data mining is used to exploit trends or facts from large volumes of data that will assist companies in making strategic decisions to accelerate progress or gain an advantage. Successful data mining can be accomplished with a tool or application that gives people immediate, hands-on access to the data in a reporting format that will assist them in identifying trends or action steps, along with the ability to integrate that data with other business applications. Data mining in marketing automation, CRM or SFA applications can contribute significantly to the bottom line by helping to identify the best prospects for certain activities and to customize communications.
Tags: Data Tools, Data Tools |
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Online Data Collection & Management - Part 1: Techniques for Building Intelligent Web Forms | 2008-06-24 | Accela Communications |
| Good web response management techniques are essential for building relationships with new visitors to one's web site, especially if they want to optimize their site as a sales channel. According to a study by the Direct Marketing Association, the share of Internet sales will increase to 43% of all catalog, retail and e-commerce sales by 2007 and 46% by 2009. Coupled with growing investments in search engine marketing, the importance of capturing data from new visitors to their web site at the moment they arrive is an opportunity not to be missed. In this paper for return customers or visitors, Web forms that are not smart enough to recognize them can be annoying, leaving a bad impression of their company.
Tags: Data Tools, Business Functions |
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Budgeting & Forecasting Using PerformancePoint Server | 2008-06-05 | |
| The client is a multi-billion dollar software giant. One of their business groups, that provides various leading online services to consumers, wanted to replace their existing budgeting and forecasting solution. The existing system was not able to scale to changing business requirements and incurred very high cost for maintenance. They wanted to support new templates for distribution and search; and also wanted the ability to support 18 months rolling forecasting. Blue Star Infotech studied the existing system functionality in detail and interviewed users to fine tune the requirements of the new system. It then implemented the desired functionality leveraging the out of box functionalities in Performance Point Server Product.
Tags: Software Development Tools |
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Raiffeisen International Bank-Holding AG Improves Processing Performance in Its Data Warehouse | 2008-06-01 | |
| Raiffeisen International Bank-Holding AG (RI) wanted to replace existing Extract Transform and Load (ETL) tool, which did not provide needed scalability to populate data warehouses in 12 countries and improve ETL tool performance. The challenge was to reduce number of hand-coded ETL jobs to minimize complexity and reduce high maintenance costs and minimize costs associated with system migrations and upgrades. RI implemented Oracle Data Integrator to fulfill all technical requirements in the proof of concept and automated programming, allowing the company to create standard jobs using a special ETL & Extract Load and Transform (ELT) generator, as well as develop individual jobs using the intuitive graphical Oracle Data Integrator interface.
Tags: Data Infrastructure, Data Tools |
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TDWI Report: Keys to sustainable, collaborative data integration | 2008-05-19 | SAS Institute |
| This paper describes the evolution of data integration as a response to operational and environmental issues. According to TDWI, data centers and related IT infrastructure consume an increasing amount of resources annually, including electricity, making them some of the most costly and least sustainable areas of IT. In contrast, a green data center is one that seeks to be as sustainable as possible. Read on to discover strategies for creating green data centers, including collaborative data integration and governance, server consolidation, virtualization, footprint reduction, and investment in power efficient hardware.
Tags: Homeland Security, Data Infrastructure, Data Tools, Data Infrastructure |
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MSDN Webcast: EPM Auditing Solution Starter Drilldown (Level 300) | 2008-05-14 | Microsoft |
| The presenter of this webcast will explore a new solution starter for Microsoft Office Project Server 2007, EPM Auditing. EPM Auditing provides a framework to capture event data from Project Server 2007 and use the data for reporting, debugging or auditing. The presenter will analyze all of the components that make up EPM Auditing. Then the presenter will dive into the code, because this solution is made to be extended and customized.
Tags: Data Tools |
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Real-Time DSP Data Acquisition for High-Speed Host Transfer | 2008-05-13 | Data Translation |
| The architecture of a data acquisition system utilizing the processing capability of a DSP chip has existed for many years. The ability to do this in a local loop in real time is available today with chips such as the Texas Instruments' 1 floating-point TMS320C6713. The advantages of such an approach for real-time processing are many. But also of great interest is the ability for users to stream fast data rates to a host in an economical way. The new standard of USB2 2.0 allows high speed data transfer between such a DSP peripheral or standalone and a host PC.
Tags: Data Tools |
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Mining@home: Public Resource Computing for Distributed Data Mining | 2008-05-09 | University of Calabria |
| Several kinds of scientific and commercial applications require the execution of a large number of independent tasks. One highly successful and low cost mechanism for acquiring the necessary compute power for these applications is the "Public-resource computing", or "Desktop Grid" paradigm, which exploits the computational power of private computers. So far, this paradigm has not been applied to data mining applications for two main reasons. This paper focuses on one of the main data mining problem: the extraction of closed frequent itemsets from transactional databases. They show that is possible to decompose this problem into independent tasks, which however need to share a large volume of data.
Tags: Network Technologies, Data Tools |
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