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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 communication questions and answers


Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

data communication questions and answers  errors due to bad data have the potential of creating lost sales or worse - lost customers. Lost opportunity can often be directly related to bad data. Failed electronic communication projects (EDI, XML, etc), that are unable to take advantage of content feeds from data sources, vendors or customers - and the cost of employee time and effort spent cleaning up errors - can mean business opportunities lost to competition. Many industries have created standards to facilitate the exchange of information…as

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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

Picture Archiving Communication Systems (PACS) for the Health Care Industry

PACS (Picture Archiving Communication System) manages the storage and display of digitized diagnostic images such as x-rays, CT Scans, and ultrasounds for use by radiologists and other clinicians.  

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BI State of the Market Report


IT departments rarely know as much about a business as the business people themselves. But business people rarely take action on numbers alone: they share the information with others, soliciting their feedback and performing external research before taking action. Business users still depend on IT to deliver answers related to the information that they receive. Business intelligence (BI) 2.0—also known as collaborative BI—uses the collective intelligence of the user community to enrich existing information. Learn how business intelligence (BI) 2.0 is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

When the community helps itself, information is turned into actionable information more quickly than when using purely “traditional” methods of community support, such as meetings, phone calls, and e-mail. And when actions are taken more quickly, the entire organization becomes more nimble and ultimately more competitive. This overview discusses how BI 2.0 can provide real benefits within your organization and what product features to look for in a BI solution in order to realize those benefits.

We hope you’ll find this guide a useful tool in determining which BI solution is best suited to your company’s business model and particular needs.


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Executive Overview
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Case Study
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About TEC



Download the full copy of the TEC 2009 BI Buyer’s Guide for businesses.



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Using BI 2.0 to Increase Your Competitive Advantage


Business users know their data better than IT does. They know the meaning of the data, its history, and its relationship with other data. Yet traditional BI solutions have business users referring to IT for assistance with their data. Also, they are forced to work in silos. Sure, they can create their own reports and maybe even share them with other business users, but when it comes to sharing their own knowledge about the data, they have to rely on e-mail, telephone, and face-to-face meetings. By enabling the sharing of data-related knowledge through the BI system itself, business users become more self-sufficient and actions can be taken more quickly.

The raison d’être of BI is to provide business users with information that enables them to take action. Even if business users are self-sufficient when it comes to creating and sharing data, data on its own is rarely sufficient to take action. Identifying an opportunity in the market through numbers alone is not sufficient to justify investment in a new product or geography. Identifying a bottleneck in a business process is not sufficient to justify changes in the business process. Information about a business issue or opportunity is merely a part of the overall “solution domain.” Action is usually only taken after considering a number of factors in addition to the data, such as human knowledge and experience, the economic environment, and the competitive environment.

In this section, we lay out the capabilities to look for in a BI solution—and specific functional requirements needed to support these capabilities—that contribute to the goal of “harnessing collective intelligence.” In general, the more recent entrants into the BI market are paying the most attention to BI 2.0. Some vendors, such as Good Data, have it as a central component of their solution offerings.

The following are key capabilities of BI 2.0:

  • Collaboration
    Business users are able to share information within the user community and create discussion threads relating to the information.


  • Identification of useful information
    Business users can flag information that is likely to be of use to others within the community.


  • Enriching of Information
    Business users can enrich the information through their knowledge and experience in addition to other external information sources in order to explain trends and generally assist other consumers of that information.


The community of “business users” needn’t be restricted to internal users. User collaboration is already mature within the Web space, under the guise of Web 2.0. With Web 2.0, collective intelligence is harnessed through comments on blog posts; contributions to wikis such as Wikipedia; and tagging of content, such as photos on Flickr. BI 2.0 takes these methods and applies them in the BI space by making data the focus of user collaboration.

The following sections take the capabilities above and list the functional requirements that support them. Bear in mind that each of these functional requirements is a business user requirement and not an IT or development requirement.


Download the full copy of the TEC 2009 BI Buyer’s Guide for businesses.

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A Road Map to Data Migration Success


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Six Steps to Manage Data Quality with SQL Server Integration Services


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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


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With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

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