MicroStrategy UKI, Netherlands and Nordics’ Post

🚀 Excited to share my latest project on Kaggle! 🚀 I've just finished implementing a code for RFM (Recency, Frequency, Monetary) and CLTV (Customer Lifetime Value) prediction. This project dives deep into understanding customer behaviour and predicting their future value to companies. Check out the code and analysis here: https://lnkd.in/dWF7NEme I'm passionate about using data-driven insights to optimise business strategies. Let's connect and discuss how these predictive analytics techniques can drive growth and profitability! #DataScience #PredictiveAnalytics #RFM #CLTV #Kaggle #DataDrivenDecisions

Let's talk about the importance of data visualization. 📈 Yes, we are living in a world of data. Do you shop? They collect your data to optimize future product supply. Do you listen to music? They collect your data to create a list of suggested songs for your comfort. Do you use a debit/credit card? They collect your data to advertise the right products so next time you will spend more. Do you use a smartphone? They collect your data for various other reasons. But the data itself means literally nothing unless we can understand and properly visualize it. ONLY AFTER THAT, decisions can be made. #datavisualization #data #dataanalyst #analyst #visualization #valueableinsights #dataobsessed

The first step is to pinpoint the problems, analyze them to understand why they exist, and recommend a solution. This starts with understanding the client's needs and issues. #BeBetterNovember #CROMonth #DataChallenge #Convert

Check out this cool AI visual in #powerbi 🤖 : In the winter season, our garments in the "16 L.Orange" color are selling at a rate 75.33x higher than any other color! 😍 #dax #dataanalytics #datavisualization #data #dataanalysis #powerbidashboards

🚀 Excited to share my latest data analysis project on Kaggle! I analyzed customer-personality-analysis to uncover customer buying patterns based on age and financial position classification, buying habits based on marital status, and changes in buying habits with children at home, and finally performed regression analysis to predict buying habits based on web visits. 🧠🔍 In this notebook, I: Performed data cleaning and preprocessing Explored data visualization techniques Built and evaluated predictive models Feel free to share your thoughts and feedback! #DataPreparation #DataCleaning #DataAnalysis #MachineLearning #Kaggle Check out the full analysis here: https://lnkd.in/dVp_nSMQ

Data Forecasting has never been so easy!! Check out the TalktoData AI today for instant Data Insights, Analytics, Projections, Probability calculations and more!🔥🔥🔥 Link to the App - https://app.talktodata.ai/

Hello again with another Kaggle Notebook, I used the Bank Churn Data in the 2024 Kaggle Playground Series .The goal from the Notebook is to predict whether a customer continues with their account or closes it (e.g., churns). My approach for this Notebook :Data Exploration ,EDA on Discrete and continuous numerical features and categorical features ,and Use different performance metrics (Auc , Accuracy , F1 Scores) for choosing the best classification ml model with a 0.88297 public score. Hope You enjoy reading my Notebook and feel free to ask about any implementation in my work. https://lnkd.in/dsa9vQui #kaggle #dataanalysis #datascience #machinelearning

Is Your Data Stack Still Living in the Stone Age? ⏳ Time for an iPhone-Like Upgrade? 📱💡 I was reading an article written by our CEO about the concept of an all-in-one data stack, and it got me thinking. Remember how the iPhone revolutionized our lives by combining multiple gadgets into one? 📱✨ In the early days, we used to carry separate devices for calling, music, photos, and navigation. Then, Apple changed the game by merging all those functionalities into a single device. Now, imagine applying that same idea to the data industry! Right now, we use a bunch of different tools for data ingestion, storage, processing, and analytics. It’s like juggling multiple devices again. But what if we had an all-in-one data stack? Here’s why this could be a game-changer: 👉 Simplified Operations: One platform to manage everything, reducing complexity. 👉 Increased Efficiency: No more complicated integrations, saving time and resources. 👉 Enhanced Collaboration: A unified system fosters better teamwork and communication. 👉 Boosted Innovation: More time to focus on deriving insights and being creative. Just as the iPhone made our lives easier by consolidating multiple functions, an all-in-one data stack could streamline our data workflows, making data management more intuitive and powerful. What are your thoughts? Are we ready for this next big leap in the data world? 🌐📊

Heard of BIG DATA before, especially via those annoying ads that pop up while you're on YouTube? 😂  Let’s dive deeper into BIG DATA! Imagine you walk into a room filled with millions of LEGO bricks of every color, shape, and size. There's so much LEGO that you can’t even see the floor anymore! Now, you want to find all the red bricks to build a giant castle. But the pile is so big that it would take you forever to search through it by hand. In real life, BIG DATA is like that giant pile of LEGO bricks, but instead of toys, it’s made up of tons of information—like numbers, words, pictures, or videos. This information is collected from things like social media, websites, weather stations, or even the sensors in your phone. There’s so much data that regular computers can’t handle it all at once. Now, just like you’d need a special machine to help you find all the red LEGO bricks, people use special tools and techniques to sort through big data. They look for patterns, trends, or answers hidden in that mountain of information. For example, companies might use BIG DATA to understand what people like to buy, scientists might use it to study weather patterns, and doctors might use it to find better ways to treat diseases. So, BIG DATA is a huge amount of information, and with the right tools, we can find amazing insights that would be impossible to discover on our own! Understood ??? I've enjoyed doing this so much🤭 We continue next week. Have a very beautiful weekend ♥️

Check out my latest notebook on Kaggle for house price prediction, where I achieved a 90% R2 score. https://lnkd.in/d_XwsrFc #datascience #machinelearning #kaggle