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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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 definition bi


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

definition bi  query and analysis . This definition provides less insight and depth than Mr. Inmon's, but is no less accurate. Data Warehousing: Data warehousing is essentially what you need to do in order to create a data warehouse, and what you do with it. It is the process of creating, populating, and then querying a data warehouse and can involve a number of discrete technologies such as: Source System Identification: In order to build the data warehouse, the appropriate data must be located. Typically, this will

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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 » definition bi

Why BI Is Ripe Now for Businesses of Any Size


Businesses of all sizes need real insight into operations and customers—to do their planning, forecasting, modeling, and adjusting based on data that’s current, accurate, and accessible. This is at the core of today’s expanding business intelligence (BI) and enterprise performance management (EPM) markets. Find out more about how BI software or an EMP solution can help you improve your financial analysis and reporting.

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BI and BPM: It’s Not as Blurry as You Think


There seems to be a blurry line between business intelligence (BI) and business performance management (BPM) applications. Some software vendors offer solutions that actually incorporate BPM and BI within the same application, which makes it harder to distinguish between these two software solutions. The following are some—certainly not all—key differentiators between BI and/or BPM functionality

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The TCO of BI: The QlikView Customer Experience


Total cost of ownership (TCO) analysis allows organizations to provide a like-for-like comparison between various solutions for the same project. Assuming that the benefits of a project would be the same regardless of the solution, the solution with a lower TCO would therefore yield a higher ROI as well as faster payback. This IDC white paper provides a TCO analysis of the QlikView business intelligence (BI) solution.

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Best Practices for Implementing BI in ERP-centric Environments


Business intelligence (BI) is a priority for many organizations, promising enhanced visibility and improved efficiencies. But for those with existing enterprise resource planning (ERP) systems, implementing or updating a BI program raises especially interesting challenges. This set of vendor-neutral articles outlines best practices for creating or optimizing BI programs that effectively leverage existing ERP investments.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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SAS BI Server


SAS Enterprise BI Server is a comprehensive, easy-to-use business intelligence software solution that integrates the power of SAS Analytics and SAS Data Management to provide insights that power better decisions. It includes role-based, self-service interfaces for all types of users within a well-defined IT governance framework and a centralized point of administration. This helps organizations simplify and speed business intelligence deployment.

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OpenText Acquires Actuate BI


OpenText, a large provider of enterprise information management (EIM) solutions, is acquiring business intelligence (BI) and personalized analytics and insights software vendor Actuate Corporation for $330 million in cash (about a 90% premium on Actuate’s stock price). But it’s not a hefty price for such a low-risk acquisition.

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BI on the Go


Infographic: TEC recently surveyed more than 250 users of mobile business intelligence (BI) solutions to discover some of their common use practices with mobile BI applications, and their mobile BI requirements. See what they said.

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IP Telephony: Project Definition Guide


You’ve determined the business rationale for embracing Internet protocol (IP) telephony as a strategy. Now it’s worth investing time in the project definition phase, since this will result in a clear statement of requirements that are in line with your objectives. However, how you define the project will depend on the needs of your business and your plans for convergence.

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Give BI to the Masses


In today’s business intelligence (BI) industry—despite the search for better, more suitable, and more advanced technology for BI applications—there is a special interest in finding the “true usability” of BI applications. This is to say, users want BI to be not only faster and better, but also easier. And finally, they want its use to be extended to a wide number of people: the search is on for a

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