Telecom Analytics Engineering: A Practical Guide to Managing Messy Data
Learn how to navigate identity, metadata, and ambiguity in telecom data to build trust and deliver real business impact—despite the […]
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Daily Cohorts in Telecom: How to Use Behavioral Data for Smarter Marketing
Introduction Customer segmentation is more than just slicing your database into age groups or geographic regions. True cohort analysis—based on
From AI to 5G: The technologies driving the future of smart homes
Imagine your home straight out of a sci-fi movie. You unlock the door with a sophisticated face recognition system or
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My Opinion on Data Quality
The Importance of Data Quality in Data Science Projects Once, I worked on a project where the dreams were high,
The last decade in data field
This article reflects on my past decade’s experiences and observations regarding the data market’s evolution. Over the years, data automation
Savings in 2025: How DBT and the cloud reduce costs in this digital era
In 2025, the global economic landscape remains unstable due to various factors. We have persistent inflation and volatile markets, among
The Missing Piece in the Modern Data Stack
Introduction In 2025, data is the driving force behind businesses—but also their biggest challenge. Visualization tools like Power BI have
Unlocking the Power of GCP and BigQuery for Scalable Analytics
In today’s data-driven world, businesses must process enormous amounts of information to gain practical insights. Traditional data warehousing solutions often
How to Structure a Modern Data Stack: ETL -> BigQuery -> DBT -> Looker and Looker Studio
In the era of big data and cloud analytics, modern data stacks have become key, enabling businesses to scale, optimize
Why Analytics Engineering Will Redefine Data Science in the Next 5 Years
Introduction: The Data Science Revolution The technological world has developed rapidly in recent years, leaving behind traditional methods and pushing
