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


Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

statistical analysis  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users

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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 » statistical analysis

IBM SPSS-Making the World Smarter with Predictive Analytics


I recently had the opportunity to speak with IBM and take a closer look at the vendor’s SPSS product portfolio, some if its main functions and features, and how it fits within IBM’s overall analytics strategy. Here’s a sneak peek into SPSS and IBM’s analytics strategy. SPSS Part of IBM’s Smarter Planet Initiative In recent years, particularly with the acquisitions of important analytics

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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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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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When Customer Relationships Meets Business Intelligence Marketing Analysis and User Recommendations


For many reasons, SAS's alliance with Amdocs and partnership with Aprimo might be some of a few vendor partnerships where customers and the vendors benefit.

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Business Process Analysis versus Business Process Management


Business process analysis (BPA) vendors are trying to enter the business process management (BPM) market by marketing themselves as BPM solutions. This article discusses the differences between BPA and BPM vendors, and examines the benefits of each.

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Dynacom ERP: ERP for SMB Competitor Analysis Report


The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In addition to supporting accounting requirements, it is applicable for those researching an ERP system suitable for small and medium businesses (SMB). It includes categories such as General Ledger, A/P and A/R, Payroll, Job and Project Costing, Multinational Accounting, Manufacturing, Inventory, Technology, and much more.

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Balancing Profitability and Risk in Banking: Overcoming Common Risk Analysis and Reporting Challenges


Banks need robust risk analysis and reporting solutions to improve reporting accuracy and efficiency, while reducing the costs and burdens of compliance. Yet many forces hamper efficient enterprise risk reporting, including regulatory and stakeholder pressures, process inefficiencies, and disparate data. This paper focuses on the risk reporting challenges facing banks, and outlines the best practices banks need to improve reporting and manage risk.

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Go from Analysis to Action on Your Desktop


Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. This paper explores how a breakthrough personal analytics tool enables business managers to improve performance within their functional areas.

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PBS5: CMMS – EAM Competitor Analysis Report


The EAM knowledge base is geared toward groups that need to analyze requirements for a system, which supports maintenance management tasks. Asset management systems typically enable planning, controlling, and monitoring of physical asset events. This knowledge base includes criteria for comparing general computerized maintenance management system (CMMS) functionality, fleet maintenance, workflow, reporting, and other areas that touch upon asset management practices.

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Role of In-memory Analytics in Big Data Analysis


Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

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