The common denominator of these meetings? Leading businesses further in the use of their data towards a "data-driven mindset".
SHARING DATA AND DEBUNKING MYTHS ABOUT AI
Cédric Le Saveant - VP Digital Sourcing Technicolor has setup Jim, a data-bot to handle purchasing data.
For Cédric Le Saveant, VP Digital Sourcing, teams need to be able to access data at all levels of the company. For almost 4 years now, he has been introducing a real change in Technicolor's purchasing culture. For him, it's very clear: having beautiful dashboards is very good, but having a tool as interactive as a bot capable of answering your questions about data is a concrete change. "It's the data that comes to you, and it changes everything! ", says the one who wants to make office tools as simple as the ones we use in our daily routine. Indeed, one of the biggest challenges when you want to put data at the heart of an organisation is the adoption rate of the solution, very much tied to its ease of use. William Marcy, Technical BI Director at TVH Consulting, says from experience: the same solution, presented with a more attractive portal, can be successful after a failure. He therefore distinguishes between two types of BIs: BI for experts, and BI for management teams. "We have very advanced but also very complex platforms that only correspond to the needs of the first category," adds Matthieu Chabeaud, CEO of askR.ai data-assistant. "However, it is the management BI teams who need to be involved in this project”.
"We must separate BI for management teams with the one for experts, and acknowledge that very complex platforms only meet the needs of experts." Matthieu Chabeaud, CEO askR.ai
Bringing natural speech to Business Intelligence is, in the end, a return to the most basic form of communication! AI technologies that allow us to communicate and get information in this way only bring back a basic and essential method of expression," reminds Matthieu Chabeaud. This is why it is particularly important to make users understand that AI is not a black box that acts like a human with unknown objectives, but rather as algorithms that can learn. For Thomas Binant of Géotrend, it is therefore necessary to give teams the means to learn and understand how to use AI tools.
FINDING INNOVATION STARTS WITH LEARNING HOW TO USE ITS DATA.
Salons Solutions Big Data - Leading businesses further in their data use.
Another challenge in adopting new tools is having IT/data teams too much in the operational side of things that they may neglect to look for new tools that can make their work easier. There are two ways of looking for innovation: either by looking for solutions themselves, or by getting support from a consulting firm. When you are an SME anchored in everyday life, you can dangerously get used to the discomfort of a solution that "does the job". Matthieu Chabeaud calls it the “fakir” syndrome, or how one no longer even feels the pain in a situation to which one has become accustomed!
It is essential to onboard BI tools in consultation with the IT department. If the IT department is excluded from the process, it is perhaps due to a lack of understanding of the pains, but also because management teams are thirsty for quick results. The IT department is not always in the loop on new decisions, but not including it from the start can significantly slow down projects. Rather, the IT department should be allowed to "restore its image" as it can bring real value to the business department. It's exactly what happened at Renault, where the project of an internal portal using a data-assistant (literally) triggered applause on its launch! "That was to tell you how great it matched between the issue and the new tool suggested for marketing data!" remembers Matthieu Chabeaud.
However, Xavier Bouteiller from Datasulting points out, that the success of data projects is based on the company's strategy: marketing, finance, information systems or sometimes the management itself. Whatever the case, it is necessary to ensure that users are as responsible as possible, by making sure that producers are also consumers. Users that regularly use the available data - whether it is to get accurate information on a contract or overall performance management over several years - are better able to see the benefits of AI solutions. The use of data opens up a path of global thinking: how can I make predictions in order to improve my decision making? Could certain tasks be automated with Machine Learning?
Autonomy and responsibility are therefore the two essential elements to lead users to new opportunities.
GO FROM SIMPLE TO ADVANCED ANALYTICS THANKS TO ASKR.AI'S DATA-ASSISTANT DISCOVER ASKR.AI
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Conference « Value creation from data : nothing compares to BI, AI and data scien sinergy. What new gen plateforms are up to the challenge ?
with Pascal Minguet - Independant journalist
Salons Solutions talIntervenants :
Table Ronde « Popularize analytics within SMBs : which methods and tools to make business users want to go further with self-service data ? “
with Pascal Caillerez - Journalist
Intervenants :