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Dive into Argusa's collection of articles, case studies and guides, where our experts share their knowledge, insights, and the latest trends in data management and analysis.
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From simple chatbots to powerful automation: the rise of Model Context Protocol
From simple chatbots to full-blown operators of the digital world : LLMs are moving fast and now now comes MCP, hailed as the “USB-C of LLMs.” If you think AI was impressive before, this protocol could blow the doors wide open. Curious what the future of software looks like?

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Tableau vs Power BI: A Comparative Analysis of Core Business Intelligence Use Cases
Choosing the right BI platform shapes your organization's decision-making power. This comprehensive comparison reveals how Tableau and Power BI differ across five critical areas, from data integration to security, highlighting each tool's strengths and limitations to help you make an informed choice for your business needs.

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The myth of self-service BI and AI
AI promises to revolutionize analytics, just like self-service BI did a decade ago. But the same old myths persist: no need for data engineering, upskilling, or governance. This post challenges those assumptions, drawing a sharp parallel to BI's past and unpacking why real transformation requires more than just smarter tools.

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Demystifying Agentic AI
Agentic AI is all over LinkedIn, but what does it really bring? This article cuts through the buzz to explain its core and walks you through five key workflows to harness its power. Gain practical insights and discover how Agentic AI can transform your AI projects from concept to deployment.

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Case Studies
From Legacy Systems to Data-Driven Agility: A Manufacturing Success Story
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.

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Case Studies
Transforming Learning: How Messy Transcripts were turned into an Interactive Knowledge Hub
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.

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Data Analytics and Data Science: Understanding the Difference to Drive Your Business
What are the differences between data analytics and data science, and how do you choose between them?

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Case Studies
Qualitative analysis of survey 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.

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Guides
Latest from Snowflake: Unlocking Compliance and Usage Transparency through Column Lineage Analysis
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.

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Guides
Performance Optimisation of Tableau Dashboard
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.

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

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I am an Analytics and Data Engineer. Will an LLM replace me?
Large Language Models (LLMs) have taken the world by storm. Almost everyone working in tech is affected by the growing discourse on AI’s disruptive potential. I am an analytics and data engineer, responsible for building cleaned datasets, dashboards, and reports that help businesses make informed decisions. Will LLMs replace me? Let's find out.
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