Slice’s Post

** Unveiling Pizza Preferences: A Data-Driven Look at Sales Trends** I dove into the world of pizza sales data using SQL to uncover some delicious insights! My analysis explores questions like: 🔝 Top-Selling Pizzas: Which pies reign supreme? ⏱️ Peak Ordering Times: When are customers hungriest for pizza? 💸 Revenue by Category: How do different pizza types stack up? Check out the full analysis in the attached PDF to discover more about customer preferences and sales trends! #dataanalysis #sql #businessintelligence #insights

Lets dive into the world of pizza using data! We'll explore everything from stats like orders and earnings, to more detailed information like revenue breakdown and popular pizza types. Together we'll uncover the flavors and trends that influence the pizza industry one question, at a time. #PizzaStats #InsightfulData #ExploringPizzaTrends WsCube TechAyushi Jain

When we said "handcrafted, custom pizza" this probably isn't what you had in mind, but don't worry - if you win we will have a REAL pizza delivered, or you'll be the lucky winner of the Ooni electric pizza oven and you can have ALL the real pizza you want (or, uh...can make)! 😍 🍕 🍕 🍕 🍕 🍕 Want to win? Be sure to fill out our quick survey about your data challenges, book a meeting for more entries, and share it with all of your data friends! Survey here: https://bit.ly/3QxluVx

We REFUSE to take a stance on the pineapple on pizza debate. 🍍🍕 BUT, we will say that great pizza is a lot like RevOps strategy. It requires quality toppings (data), perfect crust (tech stack) & a reliable oven (process). Getting hungry? Let us buy you a pizza! Here's what you need to do to get in on the pizza: https://lnkd.in/gKSaAGkR #RevOps #DataAutomation #sales

We REFUSE to take a stance on the pineapple on pizza debate. 🍍🍕 BUT, we will say that great pizza is a lot like RevOps strategy. It requires quality toppings (data), perfect crust (tech stack) & a reliable oven (process). Getting hungry? Let us buy you a pizza! Here's what you need to do to get in on the pizza: https://lnkd.in/gNsG_vmc #RevOps #DataAutomation #sales

We REFUSE to take a stance on the pineapple on pizza debate. 🍍🍕 BUT, we will say that great pizza is a lot like RevOps strategy. It requires quality toppings (data), perfect crust (tech stack) & a reliable oven (process). Getting hungry? Let us buy you a pizza! Here's what you need to do to get in on the pizza: https://bit.ly/3SaSAvN #RevOps #DataAutomation #sales

Analyzing pizza sales trend using SQL 🍕📊 Here are some key findings from the analysis- 1- The Greek pizza is the highest priced pizza. 2- Orders saw a significant rise during lunch (1-3pm) and evening hours (4-7pm). 3- The Pepperoni pizza is the most selling pizzas, closely followed by The Thai chicken pizza and the Barbecue chicken pizza. 4- Customers tend to order more large (L) pizzas and very often orders XL pizzas. 5- Maximum revenue is generated from classic pizzas (26.48%). #SQL Wscubetech #DataAnalysis ##BusinessIntelligence #PizzaSales #Analytics

#30DaysGrowthChallenge Day 12 DATA WAREHOUSE First off, a warehouse is where goods are stored. 
Imagine a domino’s pizza warehouse; It’ll contain different raw materials used in the preparation of everything sold in dominos: Flour, Sausages, Chicken, Beef, Mushrooms, Cheese etc.. Now these ingredients might not come from the same source. Some might be sourced locally and others might even be imported but they will all be stored in a warehouse. 
This is exactly how data warehouses function. 
A data warehouse is a central repository of data collated from multiple sources. #data

Have you ever got the Totals value in your matrix visual messing up 🤯🤯?? If yes, this is how you can avoid it.. Let’s say we want to display the minimum price of pizza in each category. Normally we would just use the below measure to display the minimum price. 👉Min Pizza Price (Before) = MIN(pizzas[price]) But its very obvious it will also return the minimum value in the totals, and not the actual total value 🫣🤦♀️ To display the correct totals, let’s change our measure to the one below. 👉Min Pizza Price(After) = IF( HASONEVALUE(pizzas[category]), MIN (pizzas[price]), SUMX (VALUES (pizzas[category]),[Min Pizza Price (Before)]) ) And that’s it!!! 🤷♀️🤩 We now have the correct totals showing up!!! Let me know in the comments if this has ever happened to you and what helped you resolve it🔎🔎!!! #powerbi #powerbitips #problemsolving #data #dataanalytics

Our customers know all about our ‘Pizza Thursday’ at Purple Crane. Most Thursdays we go for a pizza. Our customers sometimes come with us. In fact, some even time their visits for a Thursday. Data challenges are often resolved over a pizza! Over the years we’ve tried other food types – our local pizzeria always delivers. #ThursdayThoughts #ProductDevelopment #SoftwareDevelopment #SoftwareSolutions #BespokeSoftware #BusinessOwner #Data