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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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 basic level of automation maturity data

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

Sales Force Automation (SFA)

Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining contact data. Systems often include various levels of analytic and reporting capabilities. 

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Documents related to » basic level of automation maturity data

Evolution to Revolution: The Test Automation Maturity Curve


The evolution of test automation towards data-driven and key/action word frameworks reflects the realization that the process becomes more efficient if there is less code to develop and maintain. Instead of taking twenty years to evolve towards efficiency, you can take a revolutionary leap with a code-free approach that makes it easier to implement, manage, and maintain automated tests.

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Best Practices in Extending ERP: A Buyer’s Guide to ERP versus Best-of-breed Decisions


The trade-off between best-of-breed functionality and ease of integration is no longer so simple. Enterprise resource planning (ERP) software continues to expand, blurring the boundaries of core ERP functionality. The three essential factors to consider in ERP versus best-of-breed decisions are functionality, integration, and the ability to upgrade. Find out the questions you need to ask when considering an ERP extension.

basic level of automation maturity data  ERP platform. We run basic applications like GL, AR and AP plain vanilla. Our distribution application is designed to run along-side of ERP. We use ERP as a base but our wrapper provides us with a unified view into all supply chain and distribution functions, according to Greg Culler, the company''s Chief Information Officer. This small company looks first to its ERP provider, but in cases where modules or extensions are not a perfect fit, they actually develop the functionality themselves. This approach Read More

Economic Benefits of PLM-enabled Collaboration


Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data management (PDM) technology is used to organize and provide access to your intellectual assets. PLM, its collaborative Product Definition management (cPDm) capabilities, and other solutions can help you go beyond asynchronous data sharing. Find out how.

basic level of automation maturity data  In addition to the basic functionality of document control, product structure, and change management offered, visualization and extended collaboration functionality is often critical to show a customer how the resulting design will look and function. Because design reuse is essential to leverage the intellectual assets of the machine manufacturers and move innovations forward at a higher rate of speed, PLM''s ability to help people locate and share design data quickly is very important. The manufacture of Read More

How to Overcome the Limits of Enterprise Software


Is your enterprise software really making you more competitive? After all, for years you’ve had to make expensive trade-offs between application dependability and manageability—and the sheer computing power required to deliver effortless scalability simply didn’t exist. However, a new type of software environment is successfully and cost-effectively meeting the requirements of today’s most demanding applications.

basic level of automation maturity data  created a consensus around basic requirements for application fabrics. While individual implementation approaches may differ, application fabrics share the following general characteristics: Scale-out virtualization. Application fabrics can easily scale out across tens, hundreds, or even thousands of commodity computers, yet are viewed and managed as a single system. Application-level fault tolerance. Fabric applications derive their dependability from the fabric itself, rather than from the hardware on Read More

State of the MES Software Marketplace


Despite predictions that it would be subsumed by enterprise resource planning (ERP) vendors encroaching from above and automation vendors encroaching from below, the manufacturing execution systems (MES) market has been growing steadily. This guide from TEC and Flexware Innovation provides state-of-the-market analysis, success stories from your peers, in-depth information on solutions, and a spotlight on leading vendors.

basic level of automation maturity data  one of SYSPRO’s most basic advantages is its adherence to the familiar logic of best practices. SYSPRO approaches each specific business discipline in the most intuitive manner possible, says de Sequera. It never confuses you with eccentric terminology. Instead, it operates according to best business practices, which makes it very easy to understand and simple to learn. As a manufacturer of naturally sourced nutraceuticals and supplements, Natural Factors places enormous emphasis on quality Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

basic level of automation maturity data  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company''s materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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The New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence


Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now.

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Aplicor


The Aplicor software solution is an integrated, wireless, and web-based CRM suite that includes sales force automation (SFA), marketing automation, project office, customer support, and an enterprise portal.  

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

basic level of automation maturity data  analysis of future trends. Basic Principles to Consider With the growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data must flow to the real-time data warehouse at the necessary speed in order to be considered valuable data. In a real-time data warehouse, the ETL batch mechanism based on a table or file transfer is replaced with Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

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