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Integrating Data with MDM
The objective of most MDM Hub projects is to establish a trusted source of master data. In addition to the right vendor, appropriate partner, and an efficient implementation plan, it is very important...
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Reference Data Management Implementation: Four Key Considerations You May Be...
In recent years reference data management (RDM) has slowly crept into the forefront of business decision-makers’ consciousnesses, making its way steadily upwards in priority within corporate goals and...
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Specialists, Scrutiny and SI Selection: 8 Questions to Ask When Implementing...
I’d like to start right off the bat by making it clear I’m writing from a somewhat biased perspective: as the CTO and one of the co-founders of a company operating within the MDM system integration...
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Specialists, Scrutiny and SI Selection: 8 Questions to Ask When Implementing...
This is the second half of an article that I’ve divided up into two subsections: four questions you should be asking yourself and four that you should be asking a potential SI. For the full...
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Deterministic Matching versus Probabilistic Matching
Deterministic Matching versus Probabilistic Matching Which is better, Deterministic Matching or Probabilistic Matching? I am not promising to give you an answer. But through this article, I would like...
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Using External Data in MDM Systems
Let me start by saying that this is not an article about big data. While the source of big data is external to your organization, it is a topic of its own. Many of the concepts and approaches...
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IBM MDM Integration with SFDC
Since its inception, SFDC has evolved as a powerful CRM tool and captured the market leader space. SFDC leverages all kinds of customer interactions to provide deeper insight about a customer and their...
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Data Warehouse Migration to Amazon Redshift – Part 2
This blog post is the second part of the Data Warehouse Migration to AR series. The first part of the blog post series Data Warehouse Migration to Amazon Redshift – Part 1 details on how Amazon...
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