1. An implantable device system comprising: an implantable medical device; an external transceiver device; a service center; said implantable medical device comprising a battery and an electronic module including a stimulation pulse generator configured to generate electric stimulation pulses and being connected or being connectable to at least a ventricular stimulation electrode for delivering electric stimulation pulses to at least a ventricle of a heart; at least one sensing stage connected or being connectable to an electrode for picking up electric potentials inside at least a ventricle of a heart, said at least one sensing stage being configured to sense an excitation or a contraction of ventricular myocardium; at least one internal sensor that is connected to said battery, said stimulation pulse generator and at least one said sensing stage and that is configured to collect physical data representing values of operational parameters of said battery and said electronic module comprising a control unit; said control unit connected to said battery, said stimulation pulse generator and said sensing stage and configured to collect data representing values of operational parameters of said battery and said electronic module including said control unit; an implant transceiver unit for wireless communication with said external transceiver device; said external transceiver device including an external transceiver unit for wireless communication with said implant transceiver unit; a data communication interface configured to allow a data communication with said service center; said service center including another data communication interface configured to allow data communication with said external transceiver device; a central database connected to said data communication interface for data storage and automatic data analysis that is configured to store data received from said external transceiver device per implantable medical device over time; a data evaluation module connected to said database and configured to evaluate data stored in said database wherein said evaluation includes data trending of stored data; a user interface connected to said data evaluation module and being configured to display trended data and to receive user inputs; wherein said control unit is configured to collect data that represent measurements of one or more values of one or more parameters of following operational parameters of said battery and/or said electronic module: peak current consumption, average current consumption, high/low/average voltage level, charge counter for battery status, programmed versus actual pacing voltage in at least 1 pacing channel, programmed versus actual shock energies (if a defibrillation shock generator is available), charging times, impedance of all pacing and shock electrodes, status of embedded software, in particular number of CPU cycles, number of memory accesses, number of resets; number of read/write errors; number of hypo- and hyper-watchdog errors; number of recoverable and non-recoverable memory corruptions, actual service time, temperature, temperature rise during high-voltage operations, pressure, impedance of components such as resistors, capacitors, self-diagnostic information of an IC, range checks; initiate transmission of said data to said external transceiver via said implant transceiver; wherein said external transceiver is configured to collect automatically data from said implantable medical device and to transmit said data to said central service center; wherein said data analysis module is configured to perform a data analysis in four different levels: (1) each value against specification; (2) each value is trended and checked against unexpected changes; (3) each value is checked if it represents an outlier as compared to all comparable devices; and, (4) every value is ranked against other devices to identify a worst device, wherein said data analysis module is configured to trend all measurements over time and to set an unexpected change flag in case of detection of any unexpected change, wherein either (1) said data analysis module is further configured to perform a comparison between corresponding measurements of different devices if more than 27 comparable devices are available and wherein said analyzing module is either (a) configured to compute for all measurements i of all comparable devices j average Ai+standard deviation σi and identify devices, for which measurements are outside 3*σi, or (b) is configured to compute for all measurements i of all comparable devices j compute the rank Ri and identify devices, for which measurements are >9th percentile, or (2) said data analysis module is configured to compare measurements of devices which share a same component and wherein said data analysis module is configured to compute an average Ai+standard deviation σi for all measurements i of all comparable components k and to identify devices, for which said measurements are outside 3*σi.