data quality
Steps taken to improve the data
We reported in 2007 that during the operating year 2008 we would critically review the integrity of the data output from the Fair Factories Clearinghouse (FFC) database and enhance the input, maintenance and capabilities components of this system. During 2008, data-cleansing activities were led by key members of the SEA team, who then verified results with the relevant sourcing departments and business entities. Hence, corrected and accurate data was adjusted in the FFC system. FFC training programmes and capacity building modules to the users within the adidas Group were enhanced and in some cases redelivered.
SEA developed and implemented systemic tools for the FFC users to install as data integrity control points in their internal business management systems. The FFC operations teams was engaged to develop and complete a number of critical user features and enhancements, thereby facilitating the system’s ‘user-friendliness’.
Barriers to improving the data
A number of internal barriers emerged in 2008 and they have impacted some data we are reporting in this review. The number of business entities engaged in sourcing activities varied throughout the year and supply chain disclosure increased while making complexities in the indirect supply chain model more transparent. Also, the number of the adidas Group’s user community has been increasing rapidly since January 2007. Since the FFC data is maintained by dozens of users with variable levels of system proficiency, there have been inconsistencies in data input and maintenance. Factory consolidation and the evolving changes in our licensing agreements also hindered faster completion of data integrity exercises. The FFC did not meet all the expected deliveries of user enhancements, so some aspects of system maintenance were not achieved and remain difficult to facilitate.
Impact on data in this report
Even though FFC data quality, integrity and reporting capability improved by the end of 2008, the above mentioned needs to be noted when reading the numbers in the data analysis sections of this review.