Workforce Compliance and Time Fraud Detection reporting using PowerBI
Description Mode: Online Date & Time: 26 Sept 10 AM IST Managing time and attendance across a global workforce requires organizations to balance regulatory compliance, corporate policies, and operational efficiency. Traditional approaches often rely on manual reviews and fragmented processes, making it difficult to consistently identify compliance risks and potentially fraudulent activities in a timely manner. This session presents a real-world success story of a Machine Learning-powered Working Hours Alert System (WHAS) for modernizing workforce compliance monitoring and fraud detection. The solution analyzes time and attendance data to identify compliance risks, detect anomalous working-hour patterns that may indicate fraud, and recommend schedule adjustments aligned with labor laws and organizational policies. The session focuses on the data and machine learning aspects of building an intelligent compliance monitoring solution. Attendees will learn how workforce data can be analyzed to identify meaningful patterns, design effective alerts, support anomaly detection, and enable proactive intervention. The discussion will also cover implementation considerations, transparency, human oversight, and lessons learned from deploying an AI-driven compliance solution in a global enterprise environment. By connecting machine learning with enterprise workforce data, the presentation demonstrates how organizations can reduce manual effort, improve consistency in compliance monitoring, strengthen governance, and support more informed operational decisions. Attendees will gain practical perspectives they can apply when designing scalable data and analytics solutions for workforce compliance and operational integrity.Data Analytic Group One Hour Bite: Fabric Data Engineering with Python Notebooks
Description: Did you know that spark notebooks and data flows generation 2.0 are more costly than python notebooks? As a small company how can you do more with a small capacity? I will be talking about Python notebooks in this session. Libraries such as Polars, Delta Lake, Duck DB and MS SQL are available to the designer to extract, transform and load data. At the end of this talk, you will understand how to use the Capacity Metrics application to compare different data engineering designs and fine the most cost effective solution for your company. Speaker : John Miner,Data Architect at Insight Organizers: Rajendra Ongole, Koundinya Lanka,Shashi,Charitha Reddy, Navya,Meghana,Sreekar T ๐น๐๐๐๐๐๐๐ ๐๐ ๐ด๐๐๐๐๐: https://www.meetup.com/dataanalyticgroup/ ๐ฑ๐๐๐ ๐๐๐ ๐พ๐๐๐๐๐จ๐๐ ๐ฎ๐๐๐๐: https://chat.whatsapp.com/CkMRYzyoKSNKbXUs2IN2MU ๐ฑ๐๐๐ ๐๐๐ ๐พ๐๐๐๐๐จ๐๐ ๐ช๐๐๐๐๐๐ ๐ณ๐๐๐:https://whatsapp.com/channel/0029VaBgfAwDOQIeuTjGbF3u YouTube channel: https://www.youtube.com/@Dataanalyticgroup ๐ฑ๐๐๐ ๐๐ ๐๐ ๐ญ๐๐๐๐๐ ๐ช๐๐๐๐๐๐๐๐ : https://community.fabric.microsoft.com/t5/Data-Analytic-Group/gh-p/DataAnalyticGroup ๐จ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐ Discord: https://discord.gg/CGvZ2Nu9 ๐จ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐ Telegram: https://t.me/DataAnalyticGroup We look forward to having you attend the event!Data Analysis Using Python
As part of the Yemeni Data Community activities, we are pleased to announce the training course: Data Analysis Using Python https://yemdat.com/events/data-analysis-using-python In this training program, we will cover the following main topics: Introduction to Python NumPy Pandas Matplotlib Seaborn Projects Notes: A dedicated group for the course will be created and will appear to you after registration so you can join. The sessions will be conducted remotely (online) using Microsoft Teams. Duration: 10 days Time: From 8:00 PM to 10:00 PM It is preferable that participants have basic knowledge of programming. Additional instructions and practical materials will be provided in the courseโs private group. Follow the communityโs news and activities on social media: LinkedIn: https://www.linkedin.com/company/yemdathub/ Facebook: https://www.facebook.com/Yemdathub Instagram: https://www.instagram.com/yemdathub X (Twitter): https://x.com/Yemdathub Website to join: yemdat.comGlobal AI Bootcamp 2026 Antigua Guatemala
El evento estรก destinado a todas aquellas personas que estรกn interesadas en explorar el ecosistema de la Inteligencia Artificial por medio del Global AI Bootcamp 2026 a travรฉs de charlas brindadas por profesionales y apasionados en el รกrea. ยกSerรก un honor tenerte con nosotros en esta jornada de crecimiento y colaboraciรณn! Ven a descubrir el potencial de la Power Platform, conoce a otros apasionados del tema y adquiere las habilidades necesarias para llevar tu trabajo o negocio al siguiente nivel. No importa si eres principiante o tienes experiencia en la plataforma; este evento estรก pensado para todos. Te esperamos con gran entusiasmo. ยกNo faltes a esta experiencia รบnica de aprendizaje y networking! Agenda 10am Anรกlisis y Ubicacion Inteligente de Clientes Con IA. Julio Xicay 11am Del dato al dialogo: El poder de Fabric y los Agentes Virtuales. Raul Sao 13:30 Python y Power BI para Data Science. Luciano TOm 14:30 Aprenda Machine Learning viajando en el Titanic. Ricardo Sierra Las personas que asistan al evento, luego de finalizado recibirรกn un cรณdigo para generar su insignia digital donde hace constar su participaciรณn por parte de Global AI Community. Inscrรญbete aquรญ: Global AI Bootcamp 2026 Antigua Guatemala, vie, 27 mar 2026, 10:00 | Meetup
Data Viz con Python en Power BI
En esta sesiรณn exploraremos cรณmo potenciar la visualizaciรณn de datos en Power BI integrando el uso de Python. Aprenderรกs a crear grรกficos avanzados y personalizados que van mรกs allรก de las visualizaciones estรกndar de Power BI, aprovechando librerรญas como Matplotlib, Seaborn y Plotly. Se abordarรก el flujo completo: desde la conexiรณn con los datos en Power BI, la preparaciรณn de informaciรณn con scripts en Python, hasta la generaciรณn de visualizaciones interactivas que enriquecen los reportes. La charla estรก orientada a profesionales y estudiantes que deseen llevar sus dashboards al siguiente nivel, combinando la facilidad de Power BI con la flexibilidad analรญtica y visual de Python.
Dax Studio - Python Connection
Hello All, There is a plan to move data source from one database to another for which it would be essential for us to understand the dashboards within a workspace. I have explored few options in Dax Studio which has capability to return Measures, Columns, Catalogs (Dashboards) and other details of a specific workspace. However if I need to get a detailed inforamtion across all the Power BI Dashboards in a workspace, the commands below would not allow me to. SELECT [CATALOG_NAME] FROM $SYSTEM.DBSCHEMA_CATALOGS SELECT [CATALOG_NAME] FROM $SYSTEM.DBSCHEMA_CATALOGS, SELECT [ID],[Name] FROM $SYSTEM.TMSCHEMA_TABLES WHERE NOT [IsHidden] SELECT * FROM $SYSTEM.TMSCHEMA_COLUMNS WHERE NOT [IsHidden] SELECT [ID],[TableID],[Name],[QueryDefinition] FROM $SYSTEM.TMSCHEMA_PARTITIONS SELECT [ID],[TableID],[Name],[Expression] FROM $SYSTEM.TMSCHEMA_MEASURES WHERE NOT [IsHidden] SELECT * FROM $SYSTEM.TMSCHEMA_RELATIONSHIPS Requesting your guidance if there is a way I can loop through all the commands above and get the data into Excel format or into SQL or connect to Power BI directly so that I can analyze it further. Regards Mithun TZรผrich - 69th Fabric User Group [IN-PERSON]
Dear Data Wizards, We are looking forward to inviting all of you to our next meetup. This time in in-person mode. If you wish to participate, please reach out to me personally to register. Thanks! Topics What's New - Kristian E2E Scenario - from REST API to KQL Magic to Insights - Meinrad & Kristian The session will be recorded and made available on YouTube --> https://aka.ms/FabricUGYouTube E2E Scenario - from REST API to KQL Magic to Insights In this session, weโll dive into the fascinating world of metadata-driven pipelines and KQL within Microsoft Fabric. Starting with REST APIs, weโll explore how to extract stock data, including daily prices, and seamlessly store it in a Lakehouse. But thatโs just the beginning! Real-time analytics will transform this data, making it readily available for Power BI reporting. Join us as we demystify the process, share best practices, and empower you to create robust end-to-end solutions. Good to know We want this group to be a safe environment that encourages open discussion, exchange of ideas and problems you may face. Therefore, we kindly ask that no members will leverage the information for unsolicited acquisitions of new customers or projects. This group builds on trust, and without it we cannot learn from each other and excel on this topic. Want to be a presenter? We are always looking for new speaker. If you are interested and would like to show something to the Power BI Meetup Group please feel free to contact us!
python example for a REST API power bi report server request
Hello, please someone has a python example of how using the REST API and interacting with some dashboard inside Power BI Report server? (I mean write a code to refresh automatically a dashboard or something like that using python outside of POwer BI) It could work in a internal wnvironment (Virtual machine)? Thanks
