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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 warehousing vs sap


SAP SCM-Stepping Out of Obscurity
Major new SAP products are being released in the realms of supply chain management (SCM), manufacturing execution systems (MES), and product lifecycle

data warehousing vs sap  which share the same data model, and in many cases the same or similar user interface (UI): DP—Demand Planning SNP—Supply Network Planning PP/DS—Production Planning and Detailed Scheduling SNC—Supply Network Collaboration GATP—Global ATP CIF—Common Interface Function, to provide integration between APO and ERP One could create a similar list of modules and capabilities for the advanced planning and scheduling (APS) offerings by JDA Software (including former i2 and Manugistics ), Logility ,

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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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » data warehousing vs sap

Accelerating (and Fast-Starting) the SME Business at Oracle (and SAP) - Part 3


Part 1 of this blog series outlined Oracle’s recent (and seemingly genuine) change of heart and approach towards partnering and catering enterprise applications to small and medium enterprises (SME’s). The analysis then moved onto the Oracle Accelerate program, which was launched about three years ago to allow partners to sell more smaller projects in a fixed time and price

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SAP as a Retail Market Force: More Fact Than Fiction


Can SAP, a market and technology leader in business management software, translate its success in the manufacturing industry to retail? TEC principal analyst P.J. Jakovljevic reviews the complexities of this master vertical and the steps SAP has taken to address them. The ensuing candid discussion with the SAP Retail Industry team sheds some light on SAP’s strategy with regard to the retail industry.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Retail SCM Software Trends and 2015 Predictions—Part Two


In this second post of his 2015 retail supply chain trends and predictions series, P.J. Jakovljevic examines the changing role of the retail store, what role inventory optimization plays in omnichannel, and transportation policy optimization.

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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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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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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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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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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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