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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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 plant intelligence


Plant Intelligence as Glue for Dispersed Data?
Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based decision-making. Not only

plant intelligence  Glue for Dispersed Data? Plant Intelligence as Glue A series of TEC tutorials have looked at manufacturing plant-level systems addressing both the importance of plant level systems (see The Importance of Plant-Level Systems ) and the difficulties in developing systems that integrate the needs of the shop floor and the back-office (see The Challenges of Integrating ERPs and MESs ). One approach to addressing these challenges is to use plant or manufacturing intelligence systems. Given the problematized

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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 » plant intelligence

Operational Intelligence: Aligning Plant and Corporate IT


In many business areas, including sales, marketing, and finance, traditional business intelligence tools are providing executives with real-time visibility and analytics. Not so for manufacturing. Download this report to find out how best-in-class manufacturers can unlock the value of real-time manufacturing data by bringing together corporate and plant IT environments with new technology enablers and system architectures.

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Dassault Systèmes Offers Quality Intelligence Pack


In manufacturing, the lines between production and quality management continue to merge. It simply isn’t possible to manage production without embedding quality management in the process. Dassault Systèmes continues to invest in DELMIA Apriso Quality products, with its latest addition being Apriso Quality Intelligence Pack.

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Production Intelligence--Improving Production by Filling a Traditional Gap


Enterprises understand the value of integration. One area that has been ignored is the plant. Plant systems and corporate systems must be complementary and leverage each other to provide their maximum value. Production intelligence provides both integration and valuable information which is not available in either type of system.

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Business Intelligence for Process Industries


The IT investments that have allowed firms in process industries to increase the efficiency of their operations and supply chains have also created vast stores of data. Unfortunately, many companies are still unable redeploy that data to drive innovation. Learn how the next generation of business intelligence (BI) tools can help your company gain a competitive advantage by harnessing the information IT systems generate.

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The Business Value of Business Intelligence


Now that technical aspects of delivering information to the business intelligence (BI) user community are understood, BI vendors are focused on market expansion through key initiatives, including advocating ‘BI for the masses.’ However promising expanded BI use may be, a careful and balanced discussion of the specific business and technical preconditions for capturing the business value of BI investments is needed.

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Cloud Intelligence: CIA Turns to Amazon


The Central Intelligence Agency (CIA) has entered into a contract with Amazon, reportedly worth up to $600 million over 10 years. According to FCW: Amazon Web Services will help the intelligence agency build a private cloud infrastructure that helps the agency keep up with emerging technologies like big data in a cost-effective manner not possible under the CIA's previous cloud efforts. While

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Why Business Intelligence Makes Sense for SMBs


Find out in Why Business Intelligence Makes Sense for SMBs.

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Is My Business Too Small for Business Intelligence (BI)?


Does business intelligence (BI) make sense for really small businesses? While BI solutions can surface and analyze business data, providing a competitive advantage for enterprises, this inquiry puts the spotlight on smaller businesses. But how does a small business deal with the costs associated with this kind of system? Learn why (and how) BI can be a smart choice for even the smallest business.

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Business Intelligence: the Definitive Guide for Midsize Organizations


Business intelligence (BI) tools are now affordable for midsize companies, and accessible to non-technical business users. Managers can use BI to analyze complex information and support their decision-making processes—combining data from many sources into an integrated, up-to-date view. Find out what midsize companies need to know to select the right BI product, the right BI vendor, and the right approach to BI.

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Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

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