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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 mining applications in higher education


Challenges of the Future: The Rebirth of Small Independent Retail in America
By any measure, retailers are overwhelming small businesses. More than 95 percent of all retailers have only one store. Almost 90 percent have sales less than

data mining applications in higher education  power of customer transaction data and make sense of it, delivering the right information for the right purpose at the right moment. Bob Benham (Bob's Bona Fides) described the opportunity: Information technology saves us money and provides more timely management information to make good decisions. The marketing piece is the big opportunity. We are still underdeveloped in mining that data. The real future power of intelligent POS systems can be found more in the customer tracking benefits than in the

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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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » data mining applications in higher education

Automating Stimulus Fund Reporting


Tracking and reporting stimulus fund spending are difficult tasks for chief information officers (CIOs). The US government’s accountability demands are forcing organizations that are spending American Recovery and Reinvestment Act (ARRA) funds to analyze floods of data. Discover how automated ARRA reporting systems can help you comply with reporting requirements without excessive labor costs or data management headaches.

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PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations


PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor's product plans given these customers might benefit if PeopleSoft shares functions between the product sets.

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NextGen Health Care: How Technology Can Help Make Consumer-directed Health Care a Reality


Software technologies can provide a single point of entry for prospects and health plan providers to educate new or renewing prospects on the full value of each offering. Behind the scenes, these technologies can also record all prospect preferences to allow sales, marketing, advertising, and product development to benefit from more targeted offerings and personalized messaging, at greatly reduced costs.

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PeopleSoft Building Muscles To Overcome The Rough Patch Part 4: Challenges and User Recommendations


It appears that a real magic bullet to attract smaller enterprises is yet to be produced, although the company has successfully addressed marketing and selling to both large and smaller enterprises. All in all, although on the right track, PeopleSoft has to be careful that it does not overstretch itself and lose focus going forward.

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In-Memory Databases/In-Memory Analytics


The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space.

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ATG Commerce Applications


PDG Group Model 821

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MSI Data


There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again.

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In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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Metadata Standards in the Marketplace - Why Do I Care? (And Where Does Godzilla Fit In?)


Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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