The LHCb experiment, designed to study the physics of the b quark (CP
violation and rare decays) at LHC, will produce approximately 1 PByte of data
per year at the nominal condition of running. In order to reconstruct and to
analyze the huge amount of data, the LHCb collaboration will exploit the Grid
distributed computing resources spread over the world provided by the
Worldwide LHC Computing Grid (WLCG). For realizing tools to easily
interface the users to the Grid, the LHCb collaboration has developed GANGA
(Gaudi/Athena and Grid Alliance). GANGA  is a software specifically designed to
provide the user with a very easy-to-use way to submit jobs to the Grid. In
this poster we will discuss its main functionalities:  GANGA deals with
configuring the LHCb applications, submitting the jobs, splitting them in
sub-jobs, merging the output and keeping track of the results. The user can
realize analyses without caring about the location of data since jobs are
submitted for execution authomatically where the data files are located
(job submission is data driven). In addition we will also present the
usage statistics within the LHCb collaboration: 260 unique users have analyzed
LHCb Monte Carlo data by using GANGA during the last year.