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 selecting business intelligence for warehousing


Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

selecting business intelligence for warehousing  of Your Organization When selecting a business intelligence product, it's important to consider other factors in addition to specific product features ' such as ease of use, ease of implementation and administration, scalability, user-interface options, and how well it integrates into your company's existing and future platform environment. A major part of any manager's job is to make decisions. If you can improve the overall quality of your organization's decision-making processes, you can improve not

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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) RFI / RFP Template

Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements  

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Using Predictive Analytics within Business Intelligence: A Primer


What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

selecting business intelligence for warehousing  the face of BI. Selecting the appropriate predictive analytics tools is not a simple task. The following capabilities must be considered before implementing a predictive analytics tool: algorithm richness, degree of automation, scalability, model portability, web enablement, ease of use, and the capability to access large data sets. The more diversified the business, the more functions and unique models that are required. Model portability is important even within different business units in the same Read More

Business Intelligence Status Report: Recommendations


One of the biggest mistakes users often make with BI is forgetting the big picture, the strategic goals of what they hope to accomplish by accessing this information, while breaking out of traditional silo-ed metrics. BI is not a panacea, and enterprises must organize and prioritize their business needs across regions, departments (even across non-official "political" boundaries), etc., before they can hope to usefully report on the business information.

selecting business intelligence for warehousing  lies not only within selecting the right technologies and tools, but also ensuring that proper business processes are in place to generate data that are meaningful, up-to-date, and accurate. One of the biggest mistakes users often make with BI is forgetting the big picture, the strategic goals of what they hope to accomplish by accessing this information, while breaking out of traditional silo-ed metrics. BI is not a panacea, and enterprises must organize and prioritize their business needs across Read More

Plant Intelligence as Glue for Dispersed Data?


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Achieving Business Intelligence (BI) in Midsize Companies


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selecting business intelligence for warehousing  for your users by selecting software that's intelligently and intuitively designed. For example, Figure 4.6 shows an excerpt from a Web dashboard. Someone looking at this might wonder, Why are margins in golf equipment the way they are? A well-designed user interface will allow users to drill down and answer that question by doing what the user will tend to do naturally: Click on the Golf Equipment item. If clicking leads the user to another layer of data, they'll continue to explore. Figure 4.7 Read More

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selecting business intelligence for warehousing  New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now. Read More