Benoît Soleilhavoup, Data Engineer One Tech / Data Quality & Modeling at TotalEnergies, shares his experience with Tale of Data.
Faced with the challenge of climate change, the TotalEnergies Group is transforming itself with the ambition of becoming a major player in the energy transition, in particular by accelerating its development in renewable energies and aiming for carbon neutrality by 2050.
The Group, a global multi-energy producer and supplier of oil and biofuels, natural gas and green gases, renewable energies and electricity, is present in over 130 countries. Its 100,000 employees are committed to making energy ever more affordable, cleaner, more reliable and accessible to as many people as possible.
The need for reliable data is paramount to the success of their many projects, particularly digital ones, in France and abroad. These projects include:
Analysis of well drilling reporting data.
Monitoring sensor data from oil installations.
Offshore wind turbine data monitoring.
Support functions such as HR data management, BtoC and BtoB Marketing and Services.
IT projects such as system migration or large-scale IT deployment.
All employees in their respective industries have an imperative need for quality data. They need to be able to check, verify and correct data quickly, easily and autonomously, while collaborating with data teams.
Faced with these needs, and following a call for tenders, Tale of Data was chosen by TotalEnergies.
"Our challenges were to have a tool designed to detect and remedy data quality problems in our various heterogeneous data sources" - Benoît Soleilhavoup, Data Engineer at One Tech.
"And it was essential for us to have confidence in the data in our projects and particularly digital projects (reporting, AI,...)".
Tale of Data's solution focuses on making data reliable. It enables data to be used and made accessible to all those who need it in their business, without having to code.
Benoît Soleilhavoup emphasizes the importance of this approach: "Low code-no code is a major axis in the digital transformation of a company like TotalEnergies". As a data engineer, his role is to develop data pipeline structures. The aim is to make them as reliable and exploitable as possible for the various business users.
The solution enables any user to set up a data quality process without having to call in data engineers. Tale of Data offers a new approach to data enhancement and real-time monitoring.
Tale of Data was chosen by TotalEnergies for its "citizen-no code" oriented features and interfaces, enabling rapid implementation.
"We chose Tale of Data because of its "citizen-no code" oriented functionalities and interfaces, enabling rapid implementation".
TotalEnergies' global oil facility sensor monitoring project, focusing on "Timeseries" data, highlighted the power of Tale of Data.
"Time series management, both in terms of controls and performance, was a differentiating factor. We had a quality problem with the legacy base of this data, which is very old." - Benoît Soleilhavoup.
As part of an HR data management project in the Congo, TotalEnergies wanted to check and control that data located in several databases were consistent with each other, as well as with defined business rules. The Tale of Data solution saves time in checking data (e.g. visualizing rotating positions) and comparing it with other HR tools.
Tale of Data is a stand-alone tool that takes care of data quality tasks and monitoring.
"We spend less time making sure our data is of high quality, since we have a tool that helps us do it automatically. We can even schedule it." - Benoît Soleilhavoup.
Beyond current projects, the future of collaboration between TotalEnergies and Tale of Data focuses on acculturating teams to the importance of data quality.
"Every two months, our Tale of Data users exchange best practices, share their impressions of the solution's functionalities, and learn about new features."
"Tale of Data brings autonomy and simplicity to our business users, enabling them to define the quality controls that require in-depth knowledge of their data," concludes Benoît Soleilhavoup.
Watch the video testimonial: