Data and marketing analysis

Data is at the heart of marketing decisions.
In this section, discover how to collect, analyze and interpret data to optimize your campaigns.
From consumer behavior analysis to tracking tools, master the art of data-driven marketing to make informed decisions.

Marketing Mix » Operational marketing and execution » Data and marketing analysis
category development index

Category Development Index (CDI): a key tool for market analysis, brand strategy and consumer behavior

The Category Development Index (CDI) is a powerful tool used to assess the performance of a product category within a specific segment (e.g., geographic area, age group, or socioeconomic group) relative to its average performance across the entire market.

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Tools and interpretation of statistics

Statistical tools and data interpretation : how decoding data like a pro !

Whether in marketing, finance, or health research, statistics are no longer the exclusive domain of math experts. Today, they are essential for analyzing the present, forecasting trends, and guiding strategic decisions with accuracy.

Statistical tools and data interpretation : how decoding data like a pro ! Read More »

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albert.ai

ALBERT: The AI that drives your marketing campaigns like a digital strategist

Digital marketing has become a highly fragmented ecosystem. Between Google Ads, Facebook, TikTok, email marketing, SEO, and programmatic advertising, brands juggle dozens of platforms and thousands of data points. The question is no longer “How do we launch a campaign ?” but rather “How do we optimize it in real time, across all channels, without sacrificing performance ?”

That’s where ALBERT comes in — a cloud-native artificial intelligence designed to integrate, analyze, and manage your entire marketing stack.

ALBERT: The AI that drives your marketing campaigns like a digital strategist Read More »

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Machine Learning for Business Analytics

Book “Machine Learning for Business Analytics”

‘Machine Learning for Business Analytics’ by Galit Shmueli, Peter C. Bruce, Kuber R. Deokar and Nitin R. Patel is a comprehensive and detailed book on the concepts, techniques and applications of machine learning in business analytics. This fourth edition, published in 2023, is aimed primarily at students and professionals seeking to master the tools and methods of predictive analysis and data mining.

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predictive analytics

Unleashing business growth through predictive analytics: a data-driven approach

A recent study, published in the International Journal of Frontiers in Engineering and Technology Research by Oloruntosin Tolulope Joel and Vincent Ugochukwu Oguanobi, explores how businesses can harness the power of predictive analytics to improve profitability and identify new opportunities for expansion.

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Web scraping

What is Web Scraping?

Web scraping is the automated process of extracting data from websites.
It involves using software tools or scripts to collect large quantities of publicly available data from the web.
This method is widely used by companies, researchers and individuals to efficiently gather information for a variety of purposes.
Here’s a more detailed explanation of web scraping.

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How artificial intelligence and machine learning are revolutionizing digital advertising

How artificial intelligence and machine learning are revolutionizing digital advertising

In recent years, digital advertising has been profoundly transformed by the emergence of automated targeting, bidding, and ad optimization, all propelled by advances in artificial intelligence (AI) and machine learning (ML).
These technologies are redefining the way advertisers run their campaigns, offering a more efficient, targeted and cost-effective approach to reaching their audiences.
This article explores in detail the impact of AI and ML on digital advertising, showing how these tools optimize advertising campaigns, simplify bidding processes and open up new possibilities for personalization.

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Mapping discographic collaborations between jazz musicians: an example of application and beyond

Mapping discographic collaborations between jazz musicians: an example of application and beyond

Jazz music, with its richness and complexity, has always been a fascinating field for analysis and exploration.
This article focuses on the mapping of collaborations between jazz musicians.
It is an initiative that goes back over 15 years and aimed to analyze a database of musical recordings stretching from Billie Holiday’s illustrious “Lady Day” to more recent works such as Dave Douglas’s “Soul on Soul” and Pat Metheny’s “Trio 99-00”.

Mapping discographic collaborations between jazz musicians: an example of application and beyond Read More »

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