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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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 etl how to


Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success
New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster

etl how to  the desired data, the ETL program takes over and merges the two disparate data streams into one structured data stream where a myriad of transformations can be applied. This in itself is a major boon to EIM. In years past, practitioners had to struggle with complex and convoluted processes to extract data from freeform textual data and then compromise on how it was stored with structured data. With 80% of the world’s data in unstructured data sources, an EIM strategy will eventually have to address it.

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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

Customer Care & Billing RFI/RFP Template

General Requirements, Mediation, Provisioning, Sales and Marketing, Customer Billing, Customer Care, Packages and Promotions, Accounts Receivable, Financial Systems, Enterprise Data Warehouse, Reporting, Telephony Products and Services, Utility Products and Services, CATV Products and Services, IP Products and Services, EBPP Services, Technical Requirements  

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Advanced ETL with Pentaho Data Integration


When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to?

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Seven Steps to Flawless Business Intelligence


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In Part 1 of this blog series I admitted to being a late adopter of a sort, in part for not immediately jumping onto the social media bandwagon. In particular, my initial reaction to Salesforce Chatter (a.k.a. Collaboration Cloud) was tepid when it was introduced at the Dreamforce 2009 conference. However, a few months have passed and this period has helped salesforce.com craft the much clearer

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