To achieve strategic goals of efficiency improvement, our Company implements performance management from potential. Benchmarking is an essential part of measuring success in any business. The current process analyzes top-level indicators characterizing company as a whole, but didn't let targeted identification of the most promising levers. New in-depth technical benchmarking approach is proposed. The developed method is based on the general principles of qualimetry and systems engineering: justification for the choice of metrics that reflect the purpose of the assessment and the features of the process under consideration; selection of initial data and determination of requirements for their accuracy; development of methods for determining the optimal values of quality indicators; unification of conditions for the use of metrics. The deep benchmarking based on the developed algorithms requires a huge amount of data. This is a very labor-intensive exercise for employees, so it was decided to create an IT tool that will automatically pull up the necessary data from corporate databases, process and compare with each other. For this purpose, Gazprom Neft has created the Gradient IT tool. Task of the tool for address searching and assessment the potential is to find a benchmark, assess the potential in each area (metric) and help production units with the search for activities that will allow this potential to be realized. The developed tool will consist of modules in accordance with the stages of deep technical benchmarking by processes and cost items by assets and industry, including: Assessment of potential, Modeling/ Goal-setting, Monitoring, Factor analysis. And the additional helpful modules: Asset analysis, Dynamics of a metrics. As a result of the Gradient project, it is expected: a) improving the quality of the formation of hypotheses about potential due to a targeted search for levers of its implementation; b) creating of a unified cost decomposition methodology and metrics database for the entire company with the ability to anonymously data view for all assets; c) the possibility of regular internal analyzing at all levels of management and potential searching; d) improved quality аnd speed of decision making through advanced analytics and modeling.
References
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