Total Datalab, an Innovative Approach for Data Management #people #bestpractices #casestudy #collaboration #enterprisemanagement
22 May 19
11:00 AM
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11:30 AM
Tracks:
Technical Trends and Innovation
In this abstract you will get an overview of how the new DataLab in Total cans change the data management day to day operations and how it is innovative. Firstly, to understand “what is the Datalab?”, we have to provide some context and background information. As all Oil&Gas companies - likewise all companies actually - we have more and more data and less people to control, qualify and sort them properly on a daily basis. Several initiatives have been started in Total, these last few years to automate some of these tasks but we realized soon that we had to structure it internally to be more efficient. Sharing the same convictions on the need to help the data management discipline, we wanted to find synergies and help each other. All this seeds an idea, and this idea of structuring itself into a DataLab began to be real. One of the first action was to set up a dedicated place to bring its members together. This geographical proximity helped to break the silos and to share more easily. The DataLab was born in Pau in 2017 and expanded to Paris in 2018. Today, we are a squad of 6 people from different services, entities, and locations, however we are all working on the same subjects. Our mission is to help on tasks and issues impacting our business, the Data management. Our main objective is to add more value to the data. Our organization is also innovative; it gathers different profiles that still belong to their entities of origin to do not cut the link with their main activities, and to stay connected with real needs of data managers. As such, we continue to work every day with geoscience data but share our solutions with other business unit from different branches. We have with our main activity a direct impact on the data lifecycle, dataflow and data-centric projects. This multidisciplinary approach helps in identifying easily subjects for improvement and in off course resolving them in the best way. So, in a nutshell, if we had to define the Datalab in one sentence, we can say it is an innovative organization, looking for automation and improvement of efficiency of data management tasks. The DataLab relies on its business knowledge, its expertise, its data ownership but also on modern technologies, such as the development of Artificial Intelligence and Machine Learning algorithms. We will present in our paper some of the developments of automation built by the DataLab and which have a direct impact on data in Total. We will also present achievements greatly appreciated by our data manager and our users.