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Market Research

Grasping the nettle: Cliff Mills, NCC Research (January 2010)    
The options now available for delivering HR services have never been greater – ranging from self-service and shared services centres, to outsourcing and joint ventures with thirdparty organisations. This has sparked a re-appraisal of the HR department both by HR professionals and the wider organisation as to how it can best contribute value to the business and move from a reactive to a more proactive role. From the latest Evaluation Centre research, it is clear that this change is much in evidence as the HR department seeks to align its structure with the evolving business environment. In the past year alone, 36% of HR departments have undergone a significant change in their structure, with a further 32% having experienced this in the last one to two years. That compares with 19% who have been in a stable environment for more than four years and 5% where significant change last occurred two to three years ago.
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It's all about the data!: Andy Crossey, Capgemini (January 2009)    
Implementing a new HR system is all about the data – after all, the key functions of an HR system are to collect and store information and to enable you to use it effectively when required. Yet many organisations spend a huge amount of time and effort on the technical aspects of an implementation, while paying far too little attention to the data – despite the fact that data issues are amongst the most frequent causes of delay to go-live. And even after go-live, inaccurate or missing data causes a great deal of frustration and disappointment with HR systems. So it is vital to start work on the data as soon as you can: never be tempted to delay working out what you need and where you will get it. Moving to a new system is an ideal opportunity to review all your HR data. Do you need to hold all that information in the future? Organisations often hold data items that are never used and will never be needed again, often relating to old processes. Also, make sure the data you have is what it seems, as sometimes data fields are used for purposes other than those originally intended.
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