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Supporting Your Information Strategy with a Phased Approach to Master Data Management
Posted in: Master Data Management - May 01, 2014Find out how a new approach to master data management (MDM) can influence a phased organizational plan for a fully embracing MDM. In this paper, data quality and MDM thought leader David Loshin discusses five key fundamental techniques to enable master data management success.top
Challenges in the Effective Use of Master Data Management Techniques
Posted in: Business Intelligence - May 01, 2014With master data management (MDM), businesses benefit from having all of their critical data in one common place of reference. Many companies realize the advantages of this technology, but few have been able to implement an MDM program successfully.top
Avoiding the Barriers of In-Memory Business Intelligence: Making Data Discovery Scalable
Posted in: Business Intelligence - Apr 30, 2014Driven by requirements for improved analytical response, business intelligence platforms are quickly moving toward implementing in-memory technologies. Many of these implementations share limiting factors such as siloed data structures, lack of scale-out to multiple memory spaces, and lack of coordinated metadata facilities. Bridging across these boundaries is key to enabling not just a one-off implementation, but also a long-term solution for performance-based analytical environments.top
Process Intelligence: An Exciting New Frontier for Business Intelligence
Posted in: Business Intelligence - Apr 30, 2014Business intelligence (BI) has been used for decades to improve a company’s relationship with its customers, increase revenue, and reduce costs. However, the analytics often measure a single performance indicator or metric at a point in time. But companies don’t perform just one activity. The next leap forward for BI then is to extend its capabilities to monitor, analyze, and improve an organization’s critical operational processes. This extension is known as process intelligence. top
Avoiding the Barriers of In-Memory Business Intelligence: Making Data Discovery Scalable
Posted in: Business Intelligence - Apr 30, 2014Driven by requirements for improved analytical response, business intelligence platforms are quickly moving toward implementing in-memory technologies. Many of these implementations share limiting factors such as siloed data structures, lack of scale-out to multiple memory spaces, and lack of coordinated metadata facilities. Bridging across these boundaries is key to enabling not just a one-off implementation, but also a long-term solution for performance-based analytical environments.top
Daman News and Events
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