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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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 actionable data bi


The ERP/BI Connection: Adding Value through Actionable Intelligence
Prompted by volatile markets and a troubled economy, the need to reduce costs is a top business driver impacting enterprise resource planning (ERP) strategies

actionable data bi  Connection: Adding Value through Actionable Intelligence Prompted by volatile markets and a troubled economy, the need to reduce costs is a top business driver impacting enterprise resource planning (ERP) strategies. Combine this need with the need for transparency, and the marriage of ERP with business intelligence (BI) becomes the perfect storm, igniting improved performance and visibility. This report from the Aberdeen Group is a benchmark to companies seeking these results.

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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 » actionable data bi

Business Intelligence for Consumer Packaged Goods: Actionable Insights for Business Decision Makers


Consumer packaged goods (CPG) companies have made big investments in data collection and integration. But, much of the data from their IT systems hasn’t been well analyzed or used. What’s needed is a new generation of business intelligence (BI) tools that can integrate cross- and inter-enterprise processes and data. Learn how BI can help you make better decisions, change business processes, and drive overall performance.

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Focus Experts’ Briefing: BI Data and Metrics


Business intelligence (BI) solutions can help businesses to become more intelligent about key operations and processes. But BI solutions are only as valuable as the data that is fed into them and the key performance indicators (KPIs) they monitor. Well-chosen KPIs and quality data ensure that BI solutions generate reliable, actionable information. Find out how to get the best information into and out of your BI solutions.

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Business Intelligence: Actionable Insights for Business Decision Makers


Despite significant investments in data collection and integration, few companies can redeploy accumulated data to drive business performance. To succeed, they need new business intelligence (BI) tools that can integrate and analyze huge amounts of internal and external data. Learn how such tools can help your company understand customer needs, identify trends, and use the resulting lead time to seize opportunities.

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Birst Cloud BI


Birst enterprise-caliber business intelligence (BI) delivers accurate, actionable content in an intuitive, self-service environment. It allows users to combine data from different source systems to get answers to their business concerns in real time.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

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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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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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