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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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 agile data warehouse delivery methodologies


The Importance of Plant-level Systems
The information technology (IT) environment in manufacturing is facing a dramatic change. Traditional systems must evolve to support near real time

agile data warehouse delivery methodologies  make a business more agile, such as shop floor applications (see The Why of Data Collection ). Thus, management is increasingly using business processes to strive toward greater information sharing and collaboration. Enterprises are addressing broader, real time business issues through initiatives such as analytics, business intelligence (BI), business activity monitoring (BAM), enterprise performance management (EPM), digital dashboards, supply chain event management (SCEM), collaborative product

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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

Customer Relationship Management (CRM)

Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they are phone, mail, Web, or field. The company can then use this data for specific business purposes, marketing, service, support or sales while concentrating on a customer centric approach rather than a product centric. Customer relationship management defines methodologies, strategies, software, and other web-based capabilities that help an enterprise organize and manage customer relationships. Customer relationship management applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services. 

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Will Sage Group Cement Its SME Leadership with ACCPAC and Softline Acquisitions? Part Eight: More Challenges and User Recommendations


Best Software/Sage will remain a pragmatic company that delivers products based on a savvy understanding of its customers' needs and the competitive forces in the market, and on constant adaptability. It is still standing on top of the hill in many SME markets, and it is typically a much more difficult task for anyone to capture the hill than to defend it.

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Exact Software--Working Diligently Towards the "One Exact" Synergy Part Six: Challenges and User Recommendations


The current market trend is towards vendors that can provide comprehensive solutions for small and medium sized enterprises (SME) with a justifiable return on investment (ROI), and Exact seems to have a fair shot at making a mark.

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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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PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations


PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor's product plans given these customers might benefit if PeopleSoft shares functions between the product sets.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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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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The Data Warehouse RFP


If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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