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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 sap data cleaning


Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

sap data cleaning  related information) interface to SAP IS_U. An example might be a website for a specific group of customers that needed the basic data of those customers, to be able to have a meaningful dialogue on the website. The technical integration with SAP IS-U did succeed. But it didn't work out well... When a customer started using the website, he would typically see only part of his data. The reason: lots of customers had multiple customer records, each telling part of the truth about the customer. 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

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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Getting It Right: ERP Solutions for Mixed-mode Manufacturers


Falling somewhere between discrete and process manufacturing, mixed-mode manufacturers haven’t always been well served by traditional discrete or process enterprise resource planning solutions. But that’s changing now, as mixed-mode manufacturers finally have access to solutions that truly address their needs.

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TEC Industry Watch: Enterprise Software News for the Week of August 20, 2012


SOFTWARE SELECTIONS and GO-LIVESAgricultural equipment manufacturer selects Abas ERPIndustry tags: manufacturing “Canadian company Cadman Power Equipment Ltd., a manufacturer of special agricultural machinery and irrigation equipment has conducted an ERP selection project, and ERP from abas Business Software emerges the winner of this competition. The company was looking for a system as a single

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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From Idea to Market-ready Product in Record Time


The odds against successful product innovation are long. New products need to win over consumers and convince retailers—a challenging task for many reasons, including saturated markets, a growing variety of products and brands, and shorter product life cycles. To shorten time to market, companies need to integrate all development-related areas, within a single sphere of visibility and influence.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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SAP SCM 4.0


SAP SCM 4.0 is the one solution platform that offers packaged application capabilities that grow with your organization, support your business requirements, and transform traditional supply chains into adaptive supply chain networks. SAP SCM 4.0 includes SAP Advanced Planning & Optimization (SAP APO), SAP Inventory Collaboration Hub (SAP ICH), and SAP Event Management (SAP EM).    

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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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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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