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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.
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 data miner oracle


Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

data miner oracle  key vendors in the data mining arena with their Enterprise Miner product. Microsoft has had considerable success in enforcing their standards on the marketplace, and it remains to be seen whether they will succeed again. We believe that in order for this effort to succeed, a broader vendor coalition needs to be created, with active participation by vendors such as SAS and Oracle. If this effort is not widely adopted within 6 months, it will not succeed. The idea behind the specification is interesting, in

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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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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A Manufacturing Imperative: Enterprise SOA


In the past, full efficiency was almost impossible for most manufacturing sites thanks to lack of integration between plant systems and business systems. But that’s changing now, with the advent of enterprise service-oriented architecture (SOA). SOA allows you to change and improve your processes without expensive IT integration projects. Learn about the business opportunities SOA can create for you.

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Retail Today: Understand. Anticipate. Inspire.


Today more than ever, retailers are faced with the challenges of selling locally while competing globally. To be successful, they must provide a shopping experience that inspires customer loyalty. Retailers that understand their customers’ shopping habits can build strategic global supply chains that anticipate demand. One way to achieve this is with a scalable technology platform based on industry standards.

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Taking Control of Your Business: Growing Profitably in the Professional Services Market


How can a professional services firm grow profitably while providing clients with the services and project pricing they demand? The firm must rely on best-practice solutions to gain control over every aspect of business—from business development to resource planning to billing. Firms that plan and staff projects by relying on combinations of spreadsheets and management instinct will fall behind.

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Predictive Analytics; the Future of Business Intelligence


Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

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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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Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Oracle Announces Oracle Learn Cloud 13A


Oracle has announced the release of Oracle Learn Cloud 13A, which handles the delivery, tracking, management, and reporting of formal and informal training. Part of its learning and human capital management (HCM) software solutions offering, Oracle Learn Cloud allows organizations to manage learning globally. Oracle Learn Cloud includes: 100-percent configurable portal layout, online

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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