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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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 itil data mining intelligence


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

itil data mining intelligence  | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Papers | SAP Netweaver Technology Platform | Big Data Analytics | What is Data Management | What is Big Data | How Can I Flow Data Better | TEC Data White Papers | Consuming Data | Too Much Data |

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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 » itil data mining intelligence

Application Portfolio Management: Are You Getting the Most from your Enterprise Software?


Information technology organizations are faced with the challenge of managing a host of diverse enterprise applications, and the need to evaluate application metrics and performance. To address this challenge, it is worth considering application portfolio management solutions.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Debunking the Top Three Myths of Business Intelligence for Midsize Companies


There is a belief that midsize companies simply can’t afford, can’t handle, or can’t appreciate business intelligence (BI)—but that’s simply not true. Midsize companies can and do benefit from a variety of tools built specifically for the midsize market that are often easier, less expensive, and faster to adopt and use than the ones designed for giant enterprises. Learn the truth behind the top three myths about BI.

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In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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Business Intelligence and Data Management


The terms business intelligence (BI) and business performance management (BPM) are heard time and again, but what do they really mean for businesses?

Getting back to basics, both terms refer to the concept of using technology to
  • Identify sales trends to develop sales strategies and to manage future sale
  • Manage employee performance
  • Identify quality issues on the shop floor
  • Optimize business processes through the use of technology
  • Forecast, budget, and plan within a process-centric environment
  • Allow C-level executives the ability to monitor the organization's performance regularly and centrally throughout the day
The common theme within these technologies is that organizations use them to optimize their performance and stay competitive within the market. Business performance management should not be confused with business process management, also known as BPM.

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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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