The British Library published the first Linked Open Data iteration of the British National Bibliography (BNB) in 2011. Since then it has continued to evolve with regular monthly updates, addition of new content (e.g. serials) and new links to external resources (e.g. International Standard Name Identifier (ISNI)). Data is available via deferenceable URIs, a SPARQL endpoint and RDF dataset dumps. There has been clear value to the Library in its linked data work, e.g. learning about RDF modelling and linked data. However, like many linked open data publishers, the Library has found it challenging to find out how the data has been used and by whom. Although basic usage data are captured in logs, there is currently no widely available tool to extract Linked Open Data insights. This makes it challenging to justify continued investment at a time of limited resourcing. This talk will report on collaboration between Fujitsu Laboratories Limited, Fujitsu Ireland and the British Library in the development of a Linked Open Data Analytics platform. The aim of the project was twofold: to examine Linked Open BNB usage and to potentially develop a tool of interest to the wider Linked Open Data community. We will describe the analytics platform and the functionality it provides as well as demonstrate what we found out about the usage of our data. Over the period under consideration (April 2014-April 2015) usage of the Linked Open BNB increased, and there was a discernible growth in the number of SPARQL queries relative to HTTP queries. Usage patterns were traced to the addition of new metadata elements or to linked data tuition sites or events.