When a manufacturing stalwart discovered its legacy systems were holding it back, Argusa’s expertise unlocked streamlined operations and paved the way for data-driven agility. See how their targeted modernization prepared the company for upcoming system upgrades while delivering real-time visibility, efficiency gains and a lasting competitive edge.

Tired of sifting through messy lecture transcripts? Discover how a top university partnered with Argusa to transform chaotic recordings into an AI-driven knowledge hub. Explore the three essential steps that effectively and securely centralize data, enable smart content retrieval, and instantly deliver personalized responses.

Discover how Argusa helped a century-old company, analyze changes in managerial culture following a 40% workforce increase. Using advanced NLP techniques, Argusa provided actionable insights and detailed dashboards in just two weeks. This enabled ClientA to better align its values and improve internal communication.

Jean is the IT director of the retailer and want to modernise the way buyers and top management access data.

Albert is the CEO of a small company which does surveys to assess food safety KPIs for major food producers with the aim to improve processes.

Marisa is an analyst in charge of analysing the project budgets and expenditures for projects over all the company domains.

Adam is an analyst at a large media company and deployed Tableau to modernise the way data is handled.

Alina is a manager liaising between business and IT teams. She was charged with improving the performance of one of the most important dashboards at the company containing sales KPIs.

Adele is the BI Lead of this large company and she was given the task to deploy Tableau for the whole company, over 15 sites in different countries and all product lines. She needs to ensure governance and promote adoption.

Earlier this year Snowflake added a new functionality called Access History. This feature will facilitate regulatory compliance and auditing, and will provide insights on popular and frequently accessed tables and columns.

Performance optimisation is a highly common concern in various contexts. In the context of Tableau dashboards, it mainly concerns how much time is needed to do an initial load of the dashboard as well as the time spent waiting when interacting with the dashboard using filters, highlighters, etc.

In this blog post, we will provide another example of this application, by analyzing tweets captured during the 2018 UEFA Champions League final match.

In the data warehousing world dimensional modelling is one of the simplest and most straightforward ways to present data to users.

Tableau interprète les dates différemment entre un fichier en direct et un extrait, qu'il soit créé sous Excel ou en format CSV. Comment l'amener à corriger ceci ?

The problem is to plot two bars side by side, based on two different measures, on a date(/time) axis. For each measure, the ‘date’ axis has the same value, so the out-of-the-box effect in tableau is to have piled up bars.

Very often it is needed to visualize data in an historical form. On the other hand most of the time storing data directly in historical form is inefficient and requires duplicating the same data for every historical point.

Solving business problems likely requires you to combine data from multiple sources. More often than not, those sources are quite different and do not even exist in the same database.

So I love Tableau and I also hold it to a very high standard – static parameters and sets always stick out like a sore thumb, because these objects have so much potential.

Snowflake is a unique integrated data platform, conceived from the ground up for the cloud. Its patented multi-cluster, shared-data architecture features compute, storage and cloud services layers that scale independently, enabling any user to work with any data, with no limits on scale, performance or flexibility.