<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[annasdatajourney]]></title><description><![CDATA[Annasdatajourney]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/blog</link><generator>RSS for Node</generator><lastBuildDate>Sun, 05 Apr 2026 13:40:18 GMT</lastBuildDate><atom:link href="https://annasdatayourney.wixsite.com/annasdatajourney/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[[Project] Operational Performance &#38; MI Reporting: Turning Service Data into Daily Decisions]]></title><description><![CDATA[This project explores how clear, practical MI reporting can support day-to-day operational decisions by making workload, backlog and service performance easier to understand.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-operational-performance-mi-reporting-turning-service-data-into-daily-decisions</link><guid isPermaLink="false">697a755355d806ef8a1d9d6a</guid><pubDate>Wed, 28 Jan 2026 20:56:14 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/0fb6dc8a6cb74de287f9ba00051ec135.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I approach a data analysis project before opening any tools]]></title><description><![CDATA[Before opening any tools, I focus on understanding the problem, the decision behind it and what “good enough” really means for a data analysis project.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-approach-a-data-analysis-project-before-opening-any-tools</link><guid isPermaLink="false">69656965e50f04c5814eaf91</guid><pubDate>Mon, 12 Jan 2026 21:44:25 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_dc2b05fa934740e8bc64674ec7c1a337~mv2_d_5798_3865_s_4_2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[Why being effective matters more than looking like a “perfect” data analyst]]></title><description><![CDATA[Being effective in data analysis isn’t about knowing everything - it’s about asking the right questions and focusing on decisions that matter.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/why-being-effective-matters-more-than-looking-like-a-perfect-data-analyst</link><guid isPermaLink="false">695e5e3328f04d92c443d1c1</guid><pubDate>Wed, 07 Jan 2026 13:31:56 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/7852e112b197410fb7b2ff1f5fb426a3.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] UK Nursery School - Business Analysis Case Study]]></title><description><![CDATA[A Business Analysis case study exploring how attendance patterns, capacity utilisation and staffing decisions influence day-to-day operations in a UK nursery.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-uk-nursery-school-business-analysis-case-study</link><guid isPermaLink="false">69492771a496ce9330b5c180</guid><pubDate>Mon, 22 Dec 2025 00:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/6a57297c10c047c1a7700b8429a1162e.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I use Python to go beyond basic analysis]]></title><description><![CDATA[A practical look at how I use Python in data analysis when Excel is not enough — from scenario testing to deeper analytical insights.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-use-python-to-go-beyond-basic-analysis</link><guid isPermaLink="false">69c6b028d2e55f64fe0d82fc</guid><pubDate>Fri, 27 Mar 2026 16:38:45 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/0fb6dc8a6cb74de287f9ba00051ec135.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] Breaking into Data Analytics: UK vs Poland - A Small Job Market Analysis]]></title><description><![CDATA[A small data analysis project comparing Data Analyst job postings in the UK and Poland using LinkedIn data. The Tableau dashboard explores competition levels, experience expectations and the most commonly requested analytical tools.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-breaking-into-data-analytics-uk-vs-poland-a-small-job-market-analysis</link><guid isPermaLink="false">69b5e62e4898c9cce5a2b0fd</guid><pubDate>Sat, 14 Mar 2026 23:12:17 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_24cfc6baabf945e0917412f4bdc80a9d~mv2_d_5616_3744_s_4_2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] Discount Strategy Analysis: When Discounts Start Destroying Profit (Python + Power BI)]]></title><description><![CDATA[A data analysis project exploring how discount levels influence profitability using Python and a Power BI dashboard to identify an optimal discount strategy.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-discount-strategy-analysis-when-discounts-start-destroying-profit-python-power-bi</link><guid isPermaLink="false">69b12a3822bc04bb87fb0af0</guid><pubDate>Wed, 11 Mar 2026 08:55:37 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_e35021ea9a72475cb7e89aab183ed247~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[Why “junior” doesn’t mean “inexperienced” - and why that matters]]></title><description><![CDATA[A reflection on why “junior” doesn’t mean “inexperienced” and how diverse backgrounds strengthen analytical teams.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/why-junior-doesn-t-mean-inexperienced-and-why-that-matters</link><guid isPermaLink="false">699eb8ff12cb2e7c18ef5f85</guid><pubDate>Wed, 25 Feb 2026 09:20:15 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_a7fd41d75482484ca10a04dd7e5b0c63~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] Clinical Trial Analysis: Learning to Balance Statistics and Real-World Decisions]]></title><description><![CDATA[A clinical trial case study exploring how statistical analysis translates into clear, decision-ready conclusions.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-clinical-trial-analysis-learning-to-balance-statistics-and-real-world-decisions</link><guid isPermaLink="false">69959304a8ff0d3b09828c47</guid><pubDate>Wed, 18 Feb 2026 10:32:06 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_8bfaa3d6762740aebf1cfae47d905c3a~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I use SQL to ask better questions, not just pull data]]></title><description><![CDATA[For me, SQL is not just about extracting data — it’s a way of turning vague business questions into clear, testable insights.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-use-sql-to-ask-better-questions-not-just-pull-data</link><guid isPermaLink="false">6989e4d4b5eb115bbcc130ad</guid><pubDate>Mon, 09 Feb 2026 13:54:30 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ec710b59c77d4b8f87c89c40d690cd18.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I decide what a Power BI dashboard should (and shouldn’t) show]]></title><description><![CDATA[A good Power BI dashboard isn’t about showing everything - it’s about highlighting what matters and supporting clear, confident decisions.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-decide-what-a-power-bi-dashboard-should-and-shouldn-t-show</link><guid isPermaLink="false">697a6d9fd8141148d40246fb</guid><pubDate>Sat, 24 Jan 2026 20:20:37 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e2c14eabf59947988e733a6f59a6566c.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I use Excel to understand a problem before it becomes a dashboard]]></title><description><![CDATA[Before dashboards or visuals, I use Excel as a thinking space - to explore data, test assumptions and understand the problem I’m trying to solve.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-use-excel-to-understand-a-problem-before-it-becomes-a-dashboard</link><guid isPermaLink="false">696ea721df75005811cfe94c</guid><pubDate>Mon, 19 Jan 2026 22:01:58 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/ec01129eebde4653a19735c451d56dfb.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[Mistakes I made while learning data analysis (and what they taught me)]]></title><description><![CDATA[At the beginning, I thought mistakes meant I wasn’t good enough. Over time, I realised they were the moments that taught me the most about real data analysis.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/mistakes-i-made-while-learning-data-analysis-and-what-they-taught-me</link><guid isPermaLink="false">6951a93282b4264136442ce5</guid><pubDate>Sun, 28 Dec 2025 22:18:25 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_51775d7470fe4c19a2a488054241c77c~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I decide what actually matters in a data analysis project]]></title><description><![CDATA[Good data analysis isn’t about analysing everything. It’s about understanding what truly matters and knowing what to leave out.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-decide-what-actually-matters-in-a-data-analysis-project</link><guid isPermaLink="false">6948621293dd8b221e6ca21d</guid><pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_68b7487760cd4d6599aee17c912e6cf1~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[What is Important to Me in Being a Data Analyst?]]></title><description><![CDATA[For me, being a data analyst is about asking the right questions, understanding context, and turning data into meaningful insights.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/what-is-important-to-me-in-being-a-data-analyst</link><guid isPermaLink="false">67d5f80c0c64081e14cb908c</guid><pubDate>Fri, 19 Dec 2025 22:00:10 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_b73214187ec943e1ae7fa0b79eac5dcb~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[BCS and CompTIA Data+: Two Very Different Exams, One Learning Journey ]]></title><description><![CDATA[As part of my data and business analysis learning path, I completed two very different certifications: BCS Business Analysis Foundation and CompTIA Data+.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/bcs-and-comptia-data-two-very-different-exams-one-learning-journey-1</link><guid isPermaLink="false">6945b78dbb31a2c9401a99f8</guid><pubDate>Fri, 19 Dec 2025 20:39:12 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_1e51f1edb9414c0bac148028760d7a0a~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] Sales &#38; Profitability Analysis (SQL + Power BI)]]></title><description><![CDATA[Why I worked on this project Sales data is everywhere. Revenue charts look great in presentations. But one question kept coming back while I was learning and working with commercial data: Does high sales actually mean good performance? In many businesses, revenue becomes the main success metric - often without fully understanding what sits underneath.. This project was my way of stepping back and asking a more uncomfortable, but far more useful question: Where does profit really come from,...]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-sales-profitability-analysis-sql-power-bi</link><guid isPermaLink="false">69459f1066bb3987f68b0e1e</guid><pubDate>Thu, 18 Dec 2025 00:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_7da6f0b505344dd8ae2780869c6d011d~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] Consumer Behaviour &#38; Shopping Habits (Power BI)]]></title><description><![CDATA[The more I worked with customer data, the clearer it became that the “average customer” rarely exists.
This project focuses on understanding real shopping behaviours - not just summary metrics.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-consumer-behaviour-shopping-habits-power-bi</link><guid isPermaLink="false">6945bad9238be523262b9b5f</guid><pubDate>Mon, 15 Dec 2025 21:04:32 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_dc2b05fa934740e8bc64674ec7c1a337~mv2_d_5798_3865_s_4_2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[[Project] E-commerce Sales Analysis (Power BI)]]></title><description><![CDATA[E-commerce data can look impressive at first glance - until you step back and ask where revenue really comes from.
In this project, I explored sales concentration, seasonality, and customer contribution to understand what truly drives online revenue.]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/project-e-commerce-sales-analysis-power-bi</link><guid isPermaLink="false">6945bf97bb31a2c9401aace2</guid><pubDate>Sat, 06 Dec 2025 00:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_4338851926274145a7d02229ce6036df~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item><item><title><![CDATA[How I Start Data Analysis: My First Steps and Tricks]]></title><description><![CDATA[When I started learning data analysis, I thought the hardest part would be Python or statistics. I was wrong. The hardest part was knowing where to start , what actually matters , and how not to get lost  in the data. Over time, through courses and hands-on projects, I developed a simple approach that helps me stay focused and make sense of what I’m analysing. This post sums up how I usually work. 1. Defining the Problem First (Before Touching the Data) Before opening Excel, Python, or SQL, I...]]></description><link>https://annasdatayourney.wixsite.com/annasdatajourney/post/how-i-start-data-analysis-my-first-steps-and-tricks</link><guid isPermaLink="false">67dc9af7c4c8d64ec978bf3b</guid><pubDate>Fri, 05 Dec 2025 22:54:46 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/627ad7_4c40b54cd450416893f54768390b1e51~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Anna&apos;s Data Journey</dc:creator></item></channel></rss>