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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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Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

statistical symbols pi  market segmentation, product profitability, statistical analysis, and inventory and distribution analysis, to name only a few. Data Warehousing Data warehousing is a collection of data designed to support management decision-making. A data warehouse (DW) contains a wide variety of data that presents a coherent picture of business conditions at a single point in time. Its purpose is to create a database infrastructure that is always online, that contains all the information from the online transaction

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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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Autodesk Expands Its Visualization Technology Footprint


Autodesk has been making significant investments to enhance its portfolio of visualization and computer-aided engineering (CAE) software, primarily by acquiring niche software vendors. In an effort to achieve more depth in its visualization portfolio, Autodesk has acquired PI-VR, a privately held German software vendor that focuses on 3D visualization technology. This acquisition is in line with

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INFIMACS Becoming Ever More RELEVANT For Project-Based Industries. Part 1: Recent Developments


If Relevant Business Systems has for any reason deliberately maintained its INFIMACS II ERP system as one of the best-kept secrets in the complex manufacturing market, it has certainly succeeded so far. However, given a bevy of viable solutions from more renowned vendors, the company will have to spread the word much more aggressively from now on.

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Captured by Data


The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.

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TARGIT BI Product Certified


Recently, I met over the Web with TARGIT’s Ruben Knudsen and Ulrik Pedersen, along with some TEC cohorts to verify TARGIT’S BI product.  TARGIT had  completed a TEC-designed RFI containing a list of BI capabilities that every BI vendor could support  “out of the box.” The RFI is a common list of BI capabilities that we send to all BI vendors, and from the long list of TARGIT responses, we chose

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E-mail Clustering and Cloud E-mail Services


There has been a lot of buzz about the new cloud computing paradigm. But can cloud computing offer the same benefits as clustering? Find out more in a comparative analysis of the two concepts governing the present and the future of the IT industry: the older, already-proven technology used in clustering systems today, and the new trend of cloud computing—with a special focus on the development of e-mail services.

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Sales and Operations Planning Part One: Identifying and Forecasting Demand


An effective sales and operations planning game plan results in fewer stock-outs, shorter delivery lead-times, higher on-time shipping percentages, a manageable amount of expediting, and improved customer service. Several guidelines are suggested to improve a firm's sales and operations planning process and the effectiveness of each product's game plan. This is an excerpt from the book Managing Your Supply Chain Using Microsoft Navision.

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QAD Introduces Fully Embedded BPM in QAD Enterprise Applications


QAD is arguably the first enterprise resource planning (ERP) vendor with a built-in full-fledged business process management (BPM) system (Savvion BPM) within its development platform, Progress OpenEdge. Indeed, SAP NetWeaver PI is mainly about process-based integration (and Pegasystems, IBM BPM, and IDS Scheer by Software AG often complement those capabilities for, say, case management or rules

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Double Trouble for Cap Gemini: Integrator's Problems Suggest A Different Approach to Contracting for Technology Services


IT systems company Cap Gemini has been dropped from some large contracts and is being sued for allegedly refusing to perform on another.

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Trends Affecting Manufacturers and ERP Part Three: Four More Trends


The evolution of ERP systems has been driven by the emergence of new business practices and information technologies. These have been supported by the growing maturity of the manufacturing profession, and by the evolving development of commercially available software packages. This is an excerpt from the book, Maximizing Your ERP System.

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TIBCO Spotfire Releases Version 5


TIBCO will be launching version 5 of Spotfire, its BI and analytics solution. With enhancements in its analysis engine and a newly re-architected in-memory engine, Spotfire 5 will boast improved performance when analyzing large amounts of data coming from sources such as Teradata and Oracle, and even data coming from Microsoft’s SQLServer Analysis service cubes. Lars Bauerle, vice

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