Edouard Beaucourt’s advice for conducting effective data analysis to improve performance using dashboards. ISM Team Share on Facebook Thailand Email List  Share on Twitter Share on Linkedin Data has become a major issue, particularly in marketing for customer knowledge. Isn’t this a limited use? Is data analysis everyone’s business to monitor its performance? Data is everywhere in a world of apps. These are mainly analyzed for the purpose of digitization. There is little scope for analyzing the collected. Collecting the data, for example, does not indicate the marketing process for a marketing department. The “Tableau” approach benefits and applies to any profile: it is about knowing how to do an efficient and relevant data analysis. Nevertheless, marketing is particularly sensitive to these topics because these are the services where there is the most data and those

where there is the most investment in digitization. It is a good starting point for analyzing the data. Our success illustrates the universality of opportunities linked to data mining. Historically, we have responded to individual needs without formulating a transversal solution. This is proof through exercise which then spread to larger departments such as those of AccorHotel or Schneider Electric. What’s your advice for getting started with data analysis and setting up a linked dashboard? A good practice is not to want to change everything at once, but to take the time. To be too ambitious from the start is to take the risk of doing nothing in the end. The best practice is to respond to a business bread. It is only by identifying a problem that we can provide a relevant response and set up a virtuous win-win model.

Do You Have To Be A Data Scientist To Conduct Data Analysis And Monitor Your Performance?

What ROI can we expect by investing in performance monitoring through data analysis? Do you have concrete examples of good performance monitoring? The gains are as numerous as the diversity of profiles and their issues: Optimization of customer loyalty for AccorHotel Efficiency gain and B2B cost of sale improvement for Schneider Electric Optimization of the supplier relationship by monetizing its data as a distributor Improved UX experience and increased customer satisfaction at Chauffeur Privé Thus, the benefits can be direct or indirect by increasing, for example, its service vis-à-vis a customer or a third party. In this way, data analysis produces real value creation. However, we cannot claim that the simple use of “Table” is at the origin of the mentioned gains. Its implementation is associated with the adoption of other good practices which together provide a positive ROI.


How can a dashboard allow you to be more efficient by maximizing your data analysis? Our goal is to empower employees over their data. Thanks to our data analysis tool, everyone becomes autonomous and independent in relation to their own objectives. We shorten the chain of skills and intermediaries so that all employees can easily and independently obtain answers to their problems. Do you have to be a data scientist to conduct data analysis and monitor your performance? No, on the contrary, I am the best illustration of it. Although I am the sales manager in my region and therefore a priori without data training, I ask myself questions about my data, in complete autonomy. These come from Salesforce, Marketo, Eloqua and I also supplement them with external data.

Tableau: It’s A Name That Surprises With Its Simplicity In A World Full Of Anglicisms… Why Did You Choose To Call You That Way?

However, I don’t need to be a datascientist or have computer skills to use them in order to establish my territory planning or analyze profitability per lead in my region. What is a “good” dashboard for effective data analysis? How to build it and use it to monitor and maximize its performance? Know your data structure and department (know your files and the systems you are addressing) Embrace the Tableau community (benevolence, tutorial, videos …) and train yourself by keeping in touch Train more formally online or in person to become an expert Tableau: it’s a name that surprises with its simplicity in a world full of anglicisms… why did you choose to call you that way? “Tableau” as its name does not indicate is an American company created in 2003, It’s a real bias on a philosophy that is ours: to make people autonomous on analyzes from scratch.

This name also illustrates the passion of one of our founders for contemporary art. He draws a parallel between the functioning of the language on which “Tableau” is based and creation in art: starting from a blank sheet and creating. Indeed, “Tableau” was born from a revolutionary university project at Stanford: the VizQL ™. The magic of this language is to standardize data and to create a field of interaction between people and data. VizQL ™ generates computer queries necessary for data analysis and also materializes these queries. This is what allows a salesperson to be autonomous in managing his performance. “Tableau”, ultimately, is a simple company that shares a universal subject.

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