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Software Functionality Revealed in Detail
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 integrated data mining engine


Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

integrated data mining engine  investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be integrated as a core element in managing a business. Defective data quality leads to customer complaints and customer defection. Therefore, it is imperative to clearly define a standard for your data requirements and how these requirements should support specific business objectives. One common affliction of data quality is a result of the fast pace of business environments.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Documents related to » integrated data mining engine

Microsoft Eats its Own Dog Food With SQL Server 2000


Microsoft announced that they are running 20 critical internal systems, including their worldwide sales data warehouse, on SQL Server 2000. In the vendor world, this is referred to as “eating your own dog food”. As is the case with all software vendors lately, Microsoft is pushing e-commerce on the Web and support for XML. SQL Server beta release 2 is available immediately.

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Predictive Analytics and the Evolution of BI


In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing business intelligence (BI) and analytics faculties are looking to the field of predictive analysis to enhance these capabilities, and in some cases even replace them. But, is predictive analysis really the new BI? Is it a replacement for the

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Business Intelligence Portal (BI Portal)


The Silverlight BI Portal is a centralized repository for data analyzing and reporting tools. AD Integrated Authentication and tight integration with the MS Report Server make it ideal for intranet deployments. Forms Based Authentication and SQL Server based storage engine, are also supported to allow SSAS Cubes to be securely exposed to Internet users. The portal utilizes direct calls to the back-end servers, thus eliminating the middle tier - no impersonation and no scalability issues. It consists of multiple products that target the front end data presentation, report design and deployment, as well has back end server monitoring, optimization and tuning.   For the data consumers, report builders, analysts:   Silverlight Business Intelligence Companion – the first truly no installation, web-based application for quickly browsing and analyzing OLAP cubes. Report Server Companion - allows for managing the MS SSRS services, extends the SSRS manager web site functionalities, built in reports designer Report Server Viewer - browser SSRS reports in Silverlight Application Interactive Dashboards - create and share dashboards. Present them in Silverlight and HMTL5 for mobile support Data Mining Companion - create scenarios and evaluate the results by using the mouse only in seconds Interactive Charts and Maps - real-time charts, over 500 maps, Bing Maps integration, custom areas, 3D rendering   For the Administrators and Developers these products focus on the monitoring, reporting, tuning and optimizing the most valuable IT resources - the data servers:   Companion for MS Analysis Server Companion for MS SQL Server   The BI Portal offers low cost Per Server instance licensing with unlimited end users and unlimited technical support directly related to the product. Additional consulting and development services are available.  

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I-Impact Predicts Your Customer Retention!


More and more, the market is requesting that a CRM or an ERP application include analytics which can be used in a myriad of businesses to predict customer behavior and help businesses increase the effectiveness of their customer acquisition, retention, and cross-sell programs. It is a costly operation to develop such functionality from scratch. Vendors like I-Impact offer packaged application providers the opportunity of a shortcut.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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