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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 warehouse sample rfp


The Five Sure-fire Strategies for Gaining Management Approval for WMS Projects
Despite the consensus that warehouse management systems (WMS) offer many benefits, getting approval for a new system is challenging. You need to get key

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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

Warehouse Management System (WMS) RFI/RFP Template

Warehouse Configuration, Bin Location Setup, Receiving, Inventory Control, Packing and Shipping, Picking, Adaptability, Technology Configuration, Product Technology 

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Documents related to » data warehouse sample rfp

From Spreadsheet Chaos to an Integrated BPM Application in Six Steps


Spreadsheets can provide rudimentary business performance management (BPM) capabilities. But there are many reasons to leave them behind: improved collaboration among users with data security and audit capabilities, greater accuracy of analysis and reports, real-time information, and more. Discover other benefits, as well as how you should approach and carry out the transition from spreadsheets to a BPM solution.

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Bitam Artus


Bitam’s Artus solution offers access to company information from one or multiple data sources, and includes access to management dashboards that monitor daily performance and carry out analyses. Artus also allows users to monitor key performance indicators (KPIs). The solution looks into underlying detail to provide additional information, while applying thresholds and alerts to highlight areas that require immediate attention. Artus integrates visualization components into other existing applications such as intranets, portals, or customer extranets, and creates personalized dashboards for each area of the business.  

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Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

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Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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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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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.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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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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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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