Tag Archive for: Infosphere

Ironside Case Study: Watts Water Achieves Analytics Success with Managed Services

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Powering business analytics evolution through targeted infrastructure support

Did you know there are over 326 million trillion gallons of water on Earth? Yes, you read that number right. It’s hard to even fathom (no pun intended) a number that large, let alone try and quantify it into consumable, actionable business analyses. Watts Water Technologies deals with the enormity of this vast natural resource every day, improving the global community’s comfort, safety, and quality of life through their industry-leading water regulation, purification, and reuse equipment solutions. Read more

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Migrating from Oracle to Netezza

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Many are looking to IBM Puredata System for Analytics (Netezza) but are unsure of the complexity of implementation. Is it a lift and shift? Is there redevelopment involved? The focus of this article is to describe the process for migrating from Oracle. At a high level this process is the same when migrating from other RDBMS but every RDBMS has its own nuances that should be taken into consideration. Read more

Data Warehousing in an SAP-Centric Environment

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SAP-R/3 is one of the most common ERP applications for manufacturing industries.  The data warehouse for such installations has been Oracle.  The biggest pain point for Oracle implementations has been getting the data out of SAP-R/3, which involves complex processes and expert domain knowledge.  With the introduction of SAP-BW, the data warehouse suite, ’Getting the data out’ of SAP-R/3 requires little effort.  Over years, SAP-BW has matured to handle large data volumes and meet the service level agreements for large enterprises.  The question then arises, especially for those organizations with an Oracle data warehouse, if moving to SAP-BW makes long term sense. There are several factors to be considered, the core being organizational commitment and long term vision.  One of the factors is understanding the differences between SAP-BW and Oracle within the context of an enterprise data warehouse. Read more