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Data Analytic System
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Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU).
What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation status tracker for EU exchanges, based on ESMA data - Documentary, source-backed market studies and research articles - A free glossary of key terms and 8 free learning modules - Multilingual educational e-books (English, Hungarian, Spanish), including 'RIPPLE - An Unofficial Documentary Study of Ripple and the XRP Ledger', a 22-chapter book in which every factual claim carries a named, verifiable source
Every data panel names its source. The content is produced with a documented human+AI verification workflow (Uncle Sunny Academy).
Social: https://www.youtube.com/@dataanalyticsystem - https://www.instagram.com/dataanalyticsystem/ - https://www.tiktok.com/@dataanalyticsystem.com - https://www.facebook.com/dataanalyticsystem - https://x.com/dataanalyticsys
Educational content only - not investment advice. Independent publication, not affiliated with Ripple Labs Inc.
Tableau Data Analytic SystemTableau is recommended for data analysts, business intelligence professionals, and organizations that need to transform complex data into actionable insights. It is also suited for industries that rely on data-driven decision-making, such as finance, healthcare, and marketing, as well as any company looking to improve its data visualization capabilities.
Data Analytic System's answer:
Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.
Data Analytic System's answer:
Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.
Data Analytic System's answer:
People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.
Data Analytic System's answer:
Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.
Data Analytic System's answer:
A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.
I’ve used Tableau to analyze and present data for business reporting, and its strength is clearly in visualization. Turning raw data into interactive dashboards is fast once you understand how the tool works, and the end results look polished and professional.
However, getting to that point isn’t instant. New users may struggle with calculations, data modeling, and performance tuning. Licensing costs are also high, which can be difficult to justify for smaller teams or individual users.
Tableau works best for organizations that rely heavily on data-driven decisions and can invest time and budget into analytics. It’s not the easiest or cheapest option, but the output quality makes it worthwhile
Based on our record, Tableau seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: about 3 years ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: almost 4 years ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 4 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 4 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 4 years ago
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