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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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 data collection terminal


Meeting the Challenges of Product Traceability with Automated Data Collection
An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain@and deciding when during the

data collection terminal  Product Traceability with Automated Data Collection The backbone of Radley's WorkForce Productivity Solutions is x/DC, a .Net, XML based data collection development and integration platform. x/DC’s client/server architecture offers scalability, performance and availability unachievable by other solutions. Source : Radley Corporation Resources Related to Meeting the Challenges of Product Traceability with Automated Data Collection : Traceability (Wikipedia) Data Collection (Wikipedia) Meeting the

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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

Enterprise Content Management (ECM)

A content management system is a software package designed to manage an organization''s entire collection of documents, records, and other information assets. Content management systems are built on a central repository, which holds all content, metadata, rules, and supporting information. Around this, processes and disciplines are established that ensure that day-to-day activities run smoothly and efficiently.  

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Integrated Workforce Management (WFM) Platforms: Fact or Fiction? - Part 1


In her recent blog post 12 Things Retailers Did Last Year To Improve Supply Chain... IDC’s analyst Leslie Hand said that many retailers, as one of the top three priorities of the last year, implemented new “pay and bonus for performance” structures based on current labor standards/time management or simply applied new labor standards to their distribution centers (DCs) and warehouse work. Some

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Top 10 Supply Chain Technology Trends


You can’t pick up a business or IT magazine today without seeing numerous articles about the growth of mobile and wireless technologies. Why are these technologies so trendy? The answer is simple: developments in mobile computing, wireless communication, bar codes, and other data collection and communications technologies help businesses extend visibility and control over the operations that really matter to them.

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Will Recent Acquisition Catalyze Catalyst's Strategy? Part Three: Catalyst and SAP


Catalyst serves customers in several different industries, representing several major vertical market categories, and it targets industries that have the most demanding supply chain requirements, hoping this should enable it to leverage its expertise and experience for competitive advantage.

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Cost-justifying Warehouse Management Technologies in Small and Midsized Warehouses


The warehouse management system (WMS) concept has matured into a collection of time-tested technologies that reduce inventory costs and increase overall inventory management efficiencies. By implementing WMS technology, organizations can achieve a higher return on their software dollars and provide better service to their customers. A WMS can provide organizations with tangible benefits that improve warehouse operations without adding headcount.

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Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

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The Why of Data Collection


Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

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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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