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Big data


Average response times


Figure 4: Performance improvement in response time resulting from the use of near- real-time information


On-time secondary responses


Figure 5: Performance improvement resulting from the use of near- real-time information


hosted in a clustered SQL Server environment, a group of servers that support server applications with a minimum of downtime. Inactive servers within a group or cluster, pro- vide continued service when there is failure on an active node. The SQL cluster is part of a data centre that is deliver- ing IT Services to the project. McKinsey estimates that, by 2009, nearly all sectors in


the US economy had at least an average of 200 terabytes of stored data (twice the size of US retailer Wal-Mart’s data warehouse in 1999) per company with more than 1,000 employees. Infrastructure operators also generate or col- lect large volumes of data that they need to process and to deliver their service. Clearly, without a structured approach as described above,


such quantities of information are next to useless as the infor- mation is then lost in a sea of data. The M25 DBFO has suc- cessfully improved contractual performance through the use


Europe/Rest of the World Vol 8 No 3


of real time alerts and dashboards. These tools allow deci- sion makers to manage their resources to achieve improved service and client satisfaction. This is only the beginning as, in addition to the data generated by their systems, infrastruc- ture operators are now looking at managing the informa- tion generated by others, including their customers and the mobile devices that their customers carry with them.


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 David Edwards is Data Warehouse Manager and Erwan Huerre is Dartford Free Flow Transition Manager for ConnectPlus M25. Paul Russell is CEO of Egis Road & Tunnel Operation


David.Edwards@connectplusm25.co.uk Erwan.Huerre@connectplusm25.co.uk paul.russell@egis.ie


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