How to increase Productivity of SMEs through BI and Advanced Analytics
Faced with the constant challenge of increasing operational efficiency and profit margins, Business Intelligence (BI) emerges as a revolutionary tool for SMEs.
Faced with the constant challenge of increasing operational efficiency and profit margins, Business Intelligence (BI) emerges as a revolutionary tool for SMEs.
The Continuous Integration and Continuous Deployment methodology is a crucial aspect of the DevOps approach. But what is it all about? Let’s find out together.
Thanks to our experience, we have created a solution to maximize the efficiency and profitability of retail spaces in stores.
A Data Strategy alone is not enough. It is also necessary to consider the Data Experience. Let’s look at the most important aspects in this context.
Two crucial KPIs in data analysis for the Fashion and Luxury sector are Coverage and Forecast Accuracy. Let’s explore what they entail.
The collection of online interactions with company websites and the analysis of visitor statistics are fundamental elements for improving a business’s strategy.
The adoption of BI presents significant challenges for SMEs. The concept of sustainability is divided into two main fronts: economic and operational.
Let’s explore together what Natural Language Processing is, how it works, and its application areas in business, including customer service and document processing.
What Are Actionable Data and why are they important for companies? Let’s look at some concrete examples and understand where to find them.
Let’s see how a well-defined brand identity and storytelling can improve the effectiveness and comprehension of corporate reports.
Explainable AI is becoming increasingly crucial for interpreting the results produced by algorithms. Let’s see what Dataiku offers in this area.
A chatbot for e-commerce is capable of answering customer questions 24×7 in natural language. Keep reading to discover the use cases in the Retail sector.
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