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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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 starfish etl


Starfish ETL
Starfish ETL™ includes a number of pre-built data connectors which provide the means to connect to a data source so it is able to quickly and efficiently

starfish etl  ETL Starfish ETL™ includes a number of pre-built data connectors which provide the means to connect to a data source so it is able to quickly and efficiently read or write data and support on-demand (SaaS) and on-premise solutions. With pre-built and customizable maps and connectors, Starfish ETL™ automates importing, exporting, sharing, and synchronizing customer-related data across many databases, ERP systems, e-mail clients, and website and mobile platforms. Preplan jobs to run or execute

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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

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Starfish ETL Spotlight Report


Data integration and data migration processes are an important component of an organization's data management cycle. After assessing real data movement scenarios within its own list of customers, CRM consulting services company Technology Advisors has stepped into the software development field with several applications to add value to existing CRM offerings. The company launched Starfish ETL, a migration and data extraction application, in 2010. In this TEC Spotlight report TEC Senior Data Management Analyst Jorge Garcia details Starfish's background, structure, key features, and benefits.

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Calculating ROI for Business Intelligence Solutions in Small and Midsized Businesses


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Five Steps to Business Intelligence Project Success


Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide the desired results. This article identifies five steps organizations should take when implementing BI solutions.

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Part 1 of this blog series established that by offloading non-essential and non-value-adding routine tasks to third-party business process outsourcing (BPO) specialists, many human resource (HR) and payroll managers are now able to focus more on strategic and more important tasks of managing talent and human capital of the company. The discussion then went into the possible liberation of chief

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BI Analysis in a Nutshell: Lyzasoft


In my previous post, Give BI to the Masses, I wrote about the strategies that have been implemented in some companies to empower more and more users to use business intelligence (BI) tools as part of their regular daily tasks. This extends not only to decision makers and to those in charge of knowledge management,  but also to company-wide use. This has the potential to generate very different

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Waer Systems—Integration, Process, and Presentation in the Supply Chain


Long known as a supply chain firm with specialized capabilities around warehouse and inventory management, U.K.-based Waer Systems has never been one to sit still, and in the years since the company’s founding in 2000, Waer has evolved and matured its solutions and services to focus on integration, with virtually any enterprise system, in large multi-national enterprises.

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SAS/Warehouse 2.0 Goes Live


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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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