Hello #LinkedInFamily! ?? ?????????????? ???? ???????? -???? ???? ?????? ?????????? ???? ????????????! ?????????? ???? ???????? ??????????????????????????! ?? ??????????'?? ??????????????: ?????????????????? ???????? ?????????????? ???????????????????????????? ????????: A Decomposition Tree helps you break down and analyze data across multiple dimensions. ???????? ??????????????????????: The Key Influencers visual helps you understand the factors that drive a metric you're interested in. Check the attached file for detailed insights. Hope you find it informative! ?? At the outset of this series, my aim was to simplify Power BI concepts to share my knowledge with fellow mates in a beginner-friendly format. Making it an instant guide for both learning and interview preparation. I'm explaining with the examples by doing practically. Let's see the next part in the next posts. Stay tuned! Learn, practice, and grow. Drop a comment below and let me know how you're finding this series. Your feedback matters! ?? I'm putting in my best efforts to create this content in a visually creative way to make Power BI learning accessible and engaging for everyone. Feel free to connect with me, Varsha Chitikaneni??. Tagging a few Data persons, I follow the most for better reach Shashank Singh ???? Thodupunuri Bharath Munna Das AMAN KUMAR Santosh Pothnak ??Adithya Ram Parisa Venkata Naga Sai Kumar Bysani Raghavan P #PowerBI #DataAnalysis #DataModeling #DAX #BusinessIntelligence #DataAnalytics #LearningAndDevelopment #LinkedInLearning #PowerBIseries #MyConnections
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?? Day 8: Advancing the Art of Dashboard Creation in Power BI! ?? Hello LinkedIn Community! ?? Today marks the continuation of my Power BI journey, with Part 2 of dashboard creation in the spotlight! ???? ?? Elevating Dashboards with Key Influencers and More: Building upon yesterday's foundation, I'm diving deeper into the realm of dashboard creation, exploring advanced features like Key Influencers, Decomposition Tree, and Conditional Formatting to unlock deeper insights and enhance data storytelling. ?? Key Influencers: With Key Influencers, I'm identifying the drivers behind key metrics and uncovering the factors that shape outcomes. This powerful tool sheds light on the variables that have the most significant impact on performance, enabling data-driven decision-making. ?? Decomposition Tree: The Decomposition Tree is my compass for drilling down into data hierarchies and exploring relationships at different levels of granularity. By dissecting complex data into its constituent parts, I'm revealing patterns and trends that may have otherwise gone unnoticed. ?? Conditional Formatting Mastery: Through conditional formatting, I'm breathing life into tables, highlighting outliers, and drawing attention to critical insights. With a palette of colors and rules at my disposal, I'm transforming static tables into dynamic visualizations that speak volumes at a glance. ?? Empowering Insights, Driving Impact: As I harness the power of these advanced features, my goal remains unchanged – to empower stakeholders with actionable insights that drive impactful decisions. With every dashboard element, I'm bridging the gap between data and action, paving the way for transformative outcomes. #Ineuron #DataAnalytics #DataVisualization sudhanshu kumar Sunny Savita Krish Naik iNeuron.ai
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Power BI Post Series: 30 Days of Power BI Knowledge ?? Day 6: Leveraging AI Features in Power BI ?? Hey LinkedIn family, Welcome to Day 6 of our Power BI journey! Today, we’ll explore how to use Power BI’s built-in AI features to gain deeper insights from your data. ?? Step 1: Using Quick Insights Load your data into Power BI. Click on the Dataset you want to analyze. Select Quick Insights to let Power BI automatically find patterns and insights in your data. Step 2: Key Influencers Visual In Report View, go to the Visualizations Pane. Select the Key Influencers visual. Drag the field you want to analyze (e.g., Sales Amount) to the Analyze field. Drag potential influencing factors (e.g., Region, Product) to the Explain By field. Step 3: Decomposition Tree In Report View, go to the Visualizations Pane. Select the Decomposition Tree visual. Drag the field you want to break down (e.g., Total Sales) to the Analyze field. Add fields to explain the breakdown (e.g., by Region, by Product). Step 4: Using Q&A Click on the Q&A button in the top menu. Type a question about your data (e.g., “What are the total sales by region?”). Power BI will generate a visual based on your question. That’s it for today! AI features in Power BI can quickly provide valuable insights from your data. Tomorrow, we’ll look at sharing and publishing your reports. ?? Feel free to share your progress or ask questions in the comments below! #PowerBI #DataVisualization #BusinessIntelligence #DataAnalysis #30DaysOfPowerBI Thanks, Rajendra SJ follow for more!
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One thing I love about social media is the fact they provide immediate feedback, no matter the size of your audience. Even if you're comparing 2 vs 4 reactions to a post, that is still 100% increase in engagement. Writing on social media is great way to test your ideas and see what resonates with people in your network. I've recently checked stats on my posts and an interesting pattern emerged: posts which had personal references and components of storytelling did much better than those that didn't. I thought it's an excellent case in point for storytelling in (visual) data analytics: ?? Stories and pictures speak more loudly than numbers and words alone ?? Stories evoke emotions which are in turn remembered more vividly than dry facts ?? Stories help simplify complex information and make it more relatable ?? Stories put data in context, often adding actionable insights Do you use storytelling when presenting data to the business? #visualanalytics #data #storytelling #dataanalytics
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My submission for this month's Onyx Data #DataDNA Email Analysis. Companies are increasingly using AI to analyze internal email data without accessing actual email content by detecting topics, sentiments and identifying internal influencers and outsiders, business can understand how communication flows within the company. This report analyzes a total of 1132 emails sent across 9 department from 47 employees with 14 topics. Thanks Leon Gordon, Onyx Data, ZoomCharts, Bletchley Park AI User Group and Data Career Jumpstart. Tool Used: Power BI Check report here https://shorturl.at/FIFWY #DataDNA #PowerBI #DataFam
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Drowning in Data, Thirsty for Insights? Big Data to the Rescue! Unlocking the Secrets of Your Audience: Big Data for Marketing & Communications In today's data-driven world, understanding your audience is more critical than ever. And that's where big data comes in. Targeted campaigns:?Analyze customer behavior and preferences to deliver personalized messages that resonate. Viral content creation:?Identify trending topics and tailor your content to maximize engagement. Predictive insights:?Anticipate customer needs and wants before they even know it, giving you a competitive edge. But big data isn't just about numbers. It's about storytelling. By weaving data-driven insights into your narratives, you can connect with your audience on a deeper level and drive real results. Ready to unleash the power of big data for your marketing and communications? Start small:?Focus on a specific challenge, like improving website conversion rates. Invest in the right tools:?Many user-friendly platforms can help you analyze and visualize your data. Embrace collaboration:?Partner with data analysts and marketing experts to maximize your insights. Big data is no longer a monster to be feared. It's a treasure trove waiting to be explored. So, dive in and discover the secrets that will unlock your marketing and communication potential. #bigdata #marketing #communications #datadriveninsights #data #storytelling
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Stop Scrolling! Grab Your Audience's Attention with Data-Driven Strategies Are you struggling to keep your audience engaged in today's information overload???As data analysts, we know the power of understanding your target audience. In this video, I dive into data-driven techniques to grab and hold your audience's focus, whether you're presenting, creating content, or networking. What you'll learn: Data insights that reveal what truly resonates with your audience. Engagement strategies backed by user behavior analysis. Actionable tips to craft compelling presentations and content. #dataanalysis ##datavisualization #ksa #ksajobs #ksa2024 #powerbi #udacity #dax #Excel #bideveloper
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?? Telling a story with your data makes it easier to build trust, convey meaningful insight, and drive audience engagement.??? ~ ???????????? ?????????????? ???????? ?????????????????? ???????? ?????????????? ?? ????????-???????????? ??????????: ? ???????????????????? ???????? ???????????????? :- Who are you communicating with? What are their motivations and needs? What will they find compelling? ? ?????????? ???? ?? ?????? ?????????? ???????????? :- Keep your messaging clear and concise, so it’s memorable. ? ?????? ?????? ?????????????? ?????? ???????? ?????????? :- Why do your insights matter? Why should the audience care??? ? ???????????????? ?????????? ?? ?????????? :- Stories include what is commonly called a story arc: a setup, a tension or issue, a resolution, and/or a call to action.? ? ?????? ?????????????? ?????????? ???????????????? :- Tables of numbers are hard to make compelling. ? ?????????????? ???????? ?????????????????????? ???? ?????? ?????????????????????? :- Be honest about data quality issues, missing insights that are needed, and related risks to the action or decision you are seeking. #dataanalytics #datavisualization #dashboards #excel #powerbi
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"By 2025, data stories will be the most widespread way of consuming analytics. While marketers can access vast amounts of data and have numerous tools to analyze and present them, non-marketers in the company struggle to understand what the data means." When creating a data story, ask yourself these questions: ??Does it engage your target audience? ??Will it help to clarify your decision making? ??Does it deliver meaningful insights? ??Will it provide actionable opportunities? Check out this article from the Content Marketing Institute to learn how data storytelling can help you gain more organizational buy-in (LINK IN COMMENTS).
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?? Excited to share my latest Power BI project! ?? I've just completed a Social Media Sentiment Analysis Dashboard using Power BI, which analyzes and visualizes the sentiment of social media posts. ?? Key Highlights: ?? Overall Sentiment: Provided insights into the average sentiment score. ?? Sentiment Trends: Tracked sentiment changes over time. ?? Post Frequency: Analyzed the number of posts over time. ?? Top Influencers: Identified key users driving engagement. ?? Key Themes: Highlighted common topics and their sentiment. ?? Geographical Insights: Visualized sentiment and post frequency by location. ?? Post Engagement: Measured likes, shares, and comments on posts. DAX Calculations: ?? Retrieving Date from DateTime: Extracted date-only values from datetime fields. ?? Engagement Score: Calculated engagement score based on likes, shares, and comments. ??? Month Name from Date: Derived month names from date fields for easy analysis. ?? Day Name from Date: Retrieved day names from date fields for detailed insights. This project showcases the power of data visualization in understanding public opinion and sentiment trends. By transforming raw social media data into actionable insights, the dashboard helps in tracking sentiment, identifying key themes, and making data-driven decisions for marketing and communication strategies. Check out the full project on GitHub: https://lnkd.in/gErA3pgU #DataScience #PowerBI #DataVisualization #SocialMedia #SentimentAnalysis #Dashboard #DataDriven #Project
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Industrial engineering student | Data Analytics | Excel | Power BI | SQL | Python
4 个月Great initiative, Varsha Chitikaneni! Your commitment to simplifying Power BI concepts and sharing practical examples is really commendable. Your series is not only beginner-friendly but also a valuable resource for interview preparation. Looking forward to the next part!