Tuesday 16 March, 2010


Information Management
Insight, analysis and guidance into business intelligence, business intelligence systems, business intelligence data, data warehousing, data quality and data integration.
Next G Business Applications: game on IBM and Oracle, and so long HP



When Larry Ellison throws down the gauntlet of transaction processing benchmarks and offers to pay "any company $10 million if [their] Oracle database application doesn't run at least twice as fast on SUN hardware as on IBM's fastest computer", there is no doubt that a rivalry exists between the Red Army of Redwood City and the Blue Suits of Armonk.

 
Managed Print Services in European and US Enterprises




Controlling cost, complexity and risk in the print environment

Enterprises are continually seeking ways of driving cost out of managing their IT infrastructure without compromising service quality or business continuity.

 
Uncovering the Enterprise Output Management Opportunity




Reaping the benefits of an enterprise output management strategy

More and more enterprises are recognising the value of optimising their printing infrastructure through device consolidation, proactive monitoring and ongoing management.

 

Most Recent Information Management



Bill Inmon is recognized as the Father of the Data Warehouse and was voted as "One of the Ten IT People Who Mattered in the Past Forty Years" by Computer World Magazine in 2007. He's written 46 books and 650 articles on the topics, and been involved with various business successes.

 



Compensating For Data Shortcomings Within The Banking And Financial Sector

Poor data quality is endemic in every organisation. Generally speaking, most organisations accept this as a day-to-day operational challenge and devise both simple and complex work-arounds to compensate for the data's shortcomings.

 



Analytics have been around from the time the first computer program was written. Once the corporation began to generate data, there were financial analysts, sales analysts, marketing analysts and others anxiously awaiting to use that data in novel and creative ways.

 



It is clear that the fallout of the current financial crisis will lead to increased demands in the areas of compliance and risk management. This could obviously place massive strain on companies if it is not carefully managed through the utilization of Business Intelligence (BI) methods to create a solid compliance and risk management framework.

 



Metadata is found in all data, but usually it is considered most important within the confines of BI and ETL tools. It evolves as a bi-product of BI needs for two reasons: First, business oriented metadata is required for BI tools to enable access to the correct data by business users. Second, technical metadata is required to map data in source systems and data warehouses through ETL and BI tools.

 



A comparative index across 8 geographies, 10 months on

In February 2009, Quocirca interviewed 800 individuals across 8 geographies for their views on, and usage of, enterprise performance management (EPM) tools and processes. The research was repeated in December 2009 and there was a clear improvement in respondents’ understanding of EPM basics. However, much remains to be done, and the overall increase in the EPM sub-indices does not mean there is room for complacency. Awareness of how EPM can help an organisation is growing - however, the capability to use EPM processes still leaves much to be desired.

 



A comparative index across 8 geographies

Monitoring, measuring and reporting on the financial health of an organisation is a basic need that requires effective tools and processes to optimise the end result. Underpinning this is the requirement for planning capabilities, utilising scenario and what if analysis with simulations and other forward looking capabilities. The new primary research presented in this report shows that most organisations still have much to do.

 



It is very important for companies to recognize that the data they own are assets that should be protected and managed for maximum benefit. Before this can be done the data that is most important to the business should be identified. This important article proposes two ways of identifying such data, namely pinpointing the data that can have the most impact on the organization's overall performance and  are most unique, novel, or different.

 
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