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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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 data bi products


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

data bi products  Points | American Census Data | Producing Data-Rich | Metadata | Digital Metadata | Managing Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Da

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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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About Big Data


There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

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Oco’s "Canned" BI Solutions: A New Way to Look at BI


Last week my peer, Russell Cooper and I completed a successful certification of Oco Software’s business intelligence (BI) solution. Oco was represented by Jacques Hebert, the senior technical business analyst and marketing representative. Oco's products are such that the client does not need to add support staff, because they deliver cost effective “out-of-the-box” or "canned

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Data Discovery Applications


Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis tools that are easier to use, agile to deploy, and less expensive, thus encouraging the emergence of new products and vendors. These conditions, along with the acquisitions and mergers of software companies looking to offer new applications

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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A Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise


In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Aiming to help users with their BI software selection efforts, this research series explores the complete Microsoft BI product stack, describing the outstanding features of each of Microsoft’s BI offerings. The first part of this series describes the development of the Microsoft BI product landscape and provides insight into Microsoft’s set of enterprise BI solutions.

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Acumen Data Systems


Acumen Data Systems provides employee time and attendance systems and software. Its software’s focuses include job tracking, shop floor data collection, and employee scheduling.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

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Case Study: Edge Products


When Edge Products’ new management team saw that the company’s manual engineering processes were not conducive to its constantly changing product design environment, they immediately sought to improve change and part control processes. Learn how a new product lifecycle management (PLM) solution helped Edge reduce rework, control change processes, decrease warranty costs, and cut product return rates by 50 percent.

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Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

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