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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 interview questions


Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

data warehouse interview questions  is a provider of data warehouse and business intelligence (BI) systems that incorporate in-memory , massively parallel processing (MPP), as well as an interesting virtual online analytical processing (OLAP) cube solution. We had the pleasure of interviewing Roger Gaskell, chief technical officer (CTO) of Kognitio, and got some of interesting insights on Kognitio’s systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at

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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 Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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Discussing the S&OP State of Affairs with Logility’s Karin Bursa


My recent exhaustive series of articles on sales @ operations planning (S@OP) entitled “APICS 2009 From the Expo Floor: Is S@OP Coming of Age?” and the related blog post entitled “Linking S@OP and CPFR (For Retailers and Manufacturers Sake): An Executive Panel Discussion” have drawn solid interest and valuable feedback. But even more, this prolonged exposure on the S@OP

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Nothing Succeeds Like Success(Factors) - Part 2


Part 1 of this series introduced SuccessFactors, a public provider of software as a service (SaaS) talent management solutions. My post first analyzed the vendor’s evolution from its traditional People Performance realm to the seemingly more opportune Business Execution (BizX) province. Then, I talked about SuccessFactors’ multiple product editions to satisfy companies of

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Five HR Technologies You Should Know


Almost everything you know about human resources (HR) outsourcing is about to change. The future is about single-source integration, and there are key new technologies that herald this era: unified service for HR, time, payroll, and expense tracking; management dashboards; streamlined employee interfaces; synchronous data with a single database; and empowered reporting.

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TEC Research Analyst Round Table: Software-as-a-Service (SaaS)


Software-as-a-service (SaaS): friend or foe? SaaS—also known as on-demand or hosted applications—is becoming more and more popular in a number of enterprise application areas and quickly changing the minds of many a skeptic. SaaS is changing the way organizations pay for, implement, and run their software applications. Unlike traditional applications, which are paid for up front and installed on

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Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

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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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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

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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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