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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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 definition of data management technology


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

definition of data management technology  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing

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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

ERP for Fashion Industries

The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers' IT technology with their business strategies, and subsequent software selection. 

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Inventory Management Technology Strategies for Distribution


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Boosting the Bottom Line with Master Data Management


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The Integrated Information Management Infrastructure: The Business Value of the Best-of-Suite Approach


Overlooking how an application fits into your overall IT landscape can lead to costly implementations. But addressing data management with middleware solutions that work seamlessly with existing applications in your company’s IT environment can lead to significant benefits. Explore the value of technology decisions that support and maintain infrastructure-wide interoperability with regard to your data management solutions.

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Sales Force Automation, Customer Relationship Management, and Sales Training: A Fusion of Methodology and Technology


Many organizations find it challenging to adopt sales force automation and customer relationship management solutions. Formal sales training and the related reinforcement tools can make the difference. We examine the key challenges and propose some solutions.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

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Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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Unified Human Capital Management and Talent Technology Survey Report: How Human Capital and Talent Technology Are Influencing Global Business


This Unified Human Capital Management and Talent Technology Survey Report addresses how businesses are using human capital management (HCM) to meet their growth goals. The survey results are representative of large and smaller enterprises and reflect the input of 126 respondents.

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Performance Management-What the Mid-market Can Learn from Large Enterprises


Performance management allows companies to align business activity with corporate objectives. This research examines the different levels of business performance achieved by mid-market companies compared with larger firms, as well as the differences in strategy, capabilities, and technologies used. Key recommendations are drawn for mid-market businesses to increase the value they derive from performance management.

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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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