You don’t need advanced SQL to solve most business problems. Master these 5 commands and you’ll answer 70% of them. JOIN GROUP BY WHERE CASE VIEWS When I first started writing SQL, I assumed analytics was about complex queries. Nested subqueries. Window functions. Advanced tricks. But after working on real business reporting, I realized something surprising. Most insights don’t come from advanced syntax. They come from mastering five core pillars that power almost every real-world report. Let’s break them down. 🔗JOIN: Connecting the dots Business data never lives in one table. Customers Transactions Products Regions They are all stored separately. If you can’t JOIN tables, you can’t tell the full story. Example: A retail company wants to know their top customers by total sales. Customer details live in one table. Sales transactions live in another. SELECT Cus.CustomerName, SUM(Sal.SalesAmount) AS TotalSales FROM Sales Sal JOIN Customers Cus ON Sal.CustomerID = Cus.CustomerID GROUP BY Cus.CustomerName ORDER BY TotalSales DESC JOIN is what transforms fragmented data into meaningful business insight. 📊GROUP BY: Turning transactions into decisions Executives don’t care about millions of rows. They care about summaries. Questions like: • How much did we sell per region? • Which product category performs best? • What does monthly revenue look like? That’s what GROUP BY delivers. SELECT Region, MONTH(OrderDate) AS Month, SUM(SalesAmount) AS TotalSales FROM Sales GROUP BY Region, MONTH(OrderDate) ORDER BY Region, Month GROUP BY converts raw activity into metrics people can act on. 🚪WHERE: The gatekeeper Every dataset contains noise You rarely want everything You want the right slice of data WHERE acts like a filter that decides what actually enters your analysis. Example: “Show me paid invoices from last quarter.” SELECT * FROM Invoices WHERE PaymentStatus = 'Paid' AND InvoiceDate BETWEEN '2025-07-01' AND '2025-09-30' Without WHERE, reports become cluttered and misleading. 🏷CASE: Translating data into business meaning Numbers alone rarely tell the full story Businesses often need classification and interpretation Instead of raw numbers, leaders want categories like: High Value Customers Medium Value Customers Low Value Customers That’s where CASE becomes powerful. SELECT CustomerName, SUM(SalesAmount) AS TotalSales, CASE WHEN SUM(SalesAmount) >= 100000 THEN 'High Value' WHEN SUM(SalesAmount) >= 50000 THEN 'Medium Value' ELSE 'Low Value' END AS CustomerSegment FROM Sales GROUP BY CustomerName CASE helps translate raw data into business language decision-makers understand. 🧱 VIEWS: The reusable blueprint As projects grow, analysts repeat the same logic again and again. Joining the same tables Filtering the same data Building the same summaries Views solve this A VIEW is a saved query that behaves like a virtual table. CREATE VIEW v_SalesSummary AS SELECT Cus.Region, Prod.Category, SUM(Sal.SalesAmount) AS TotalSales FROM Sales Sal JOIN Customers Cus ON Sal.CustomerID = Cus.CustomerID JOIN Products Prod ON Sal.ProductID = Prod.ProductID GROUP BY Cus.Region, Prod.Category Now analysts can simply run: SELECT * FROM v_SalesSummary WHERE Region = 'West' Views help: • standardize business logic • reduce repeated heavy joins across reports • improve consistency across dashboards In some systems, it can even store precomputed results and improve performance for large datasets So in simple terms: - JOIN connects the data - WHERE filters it - GROUP BY summarises it - CASE explains what it actually means - VIEWS help scale and reuse the logic Most broken reports trace back to one of these being misunderstood Without JOIN data stays fragmented Without GROUP BY reports become unreadable Without WHERE analysis becomes irrelevant Without CASE data lacks business meaning Without VIEWS logic becomes inconsistent. Master these five, and SQL suddenly becomes much simpler.

So why built it in the first place? #earlyevangelist #customersegment

𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝘃𝘀 𝗖𝗧𝗘𝘀. As an analyst, you’ll use both. But knowing WHEN to use each one matters. Let me break it down. 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝘆: A query nested inside another query. SELECT CustomerName, TotalSpent FROM Customers WHERE TotalSpent > ( SELECT AVG(TotalSpent) FROM Customers ) 𝗖𝗧𝗘 (𝗖𝗼𝗺𝗺𝗼𝗻 𝗧𝗮𝗯𝗹𝗲 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻): A temporary named result set you define at the top of your query. WITH AvgSpend AS ( SELECT AVG(TotalSpent) AS AvgAmount FROM Customers ) SELECT CustomerName, TotalSpent FROM Customers WHERE TotalSpent > (SELECT AvgAmount FROM AvgSpend) Both do the same thing. But they’re not interchangeable. 𝗪𝗵𝗲𝗻 𝘁𝗼 𝘂𝘀𝗲 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀: → Quick, one-off calculations → Simple filtering (WHERE or HAVING clauses) → When you only need the logic once → Short queries where clarity isn’t an issue Example: “Show me customers who spent more than average.” 𝗪𝗵𝗲𝗻 𝘁𝗼 𝘂𝘀𝗲 𝗖𝗧𝗘𝘀: → Complex multi-step logic → When you need to reference the same calculation multiple times → Readability matters (someone else will read this) → Building layered analysis (Step 1 → Step 2 → Step 3) Example: RFM segmentation. Calculate customer metrics → Assign tiers → Segment based on tiers. That’s 3 layers of logic. CTEs let you chain them cleanly. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗲𝗱𝗴𝗲 𝗖𝗧𝗘𝘀 𝗵𝗮𝘃𝗲: 𝗖𝗵𝗮𝗶𝗻𝗶𝗻𝗴. With subqueries, nested logic gets messy fast. You’re wrapping queries inside queries inside queries. With CTEs, you build in steps: WITH CustomerMetrics AS ( -- Step 1: Calculate metrics ), CustomerTiers AS ( -- Step 2: Assign tiers using CustomerMetrics ), CustomerSegment AS ( -- Step 3: Segment using CustomerTiers ) SELECT * FROM CustomerSegment Each CTE references the one before it. Clean. Readable. Modular. Try doing that with subqueries. You’ll hate your life. 𝗥𝘂𝗹𝗲 𝗼𝗳 𝘁𝗵𝘂𝗺𝗯: → If your query has more than 2 levels of logic, use a CTE. → If you’re repeating the same subquery, use a CTE. → If someone else will read your code, use a CTE. → If you need to chain multiple steps, CTEs are non-negotiable. Subqueries are fine for quick answers. CTEs are for analysis you’ll actually use. Which one do you prefer? #SQL #DataAnalysis #Datafam #SQLTips

Interesting to see Revolut's potential India entry while all sorts of Fintechs are already dime-a-dozen here and competing with each other aggressively. The specific part that is interesting is their focus: "Given India’s low GDP per capita, the realistic size of Revolut’s market in the country was 'pretty much' the top 10 to 15 per cent of its 1.4bn population, 'which is sizeable'. That’s the segment that also consumes Netflix, that consumes your Apple products… that travels and travels internationally as well - the global India. They have friends and family overseas, they’ve probably studied overseas, worked overseas and come back or vice versa". #fintech #marketing #customersegment #targetaudience #digital

It's essentially a rebuild of the Script editor. I agree it would be valuable as you'd have competition! I think Shopify want to push for an ecosystem, instead of providing these things natively, which would possibly be 'side quests'? Was the old script editor too heavy on support? They have a great UI in ShopifyQL and the CustomerSegment editor, which I had originally tried to replicate (not so easy). I'd also argue they could of built some form of PP upsells/blocks natively, but decided not to. You can see some movement in the new 'FunctionSettings' admin UI component for cart/checkout validations. Maybe it's politics? Maybe it's money? Maybe it's resource? Perhaps part of a strategy? Perhaps they're about to release a Scripts editor v2?

Got an existing email list and CSV? You can create a manual segment and reaching out to your customers at the click of a button. Get started today on uselumen.co #emaillist #uselumen #customersegment

9 Checklists สร้าง Persona จำลองลูกค้าในอุดมคติ จะคิดโปรฯ ก็ง่าย จะทำยอดขายก็พุ่ง ! อ่านความรู้แบบบเต็ม ๆ ได้ที่ : bit.ly/3NEwxJE #ADADDICT #knowledge #CustomerSegment #Pesona #Customer

เข้าถึงกลุ่มเป้าหมายพลังซื้อตัวจริง ด้วย Audience Segment จาก The 1 for Business marketingoops.com/news/biz-n… #The1 #The1forBusiness #CustomerSegment #MarketingOops

Targeting End Customers: Engineering Service Providers’ Growth Strategy Our PoV: lnkd.in/gHNJmHBC #EIIRTrend #engineering #strategy #customersegment #growth

16) shout out to your clients and other related #brands and #startups 17) Ask clients how they found you out 18) post a fill in the blank 19) talk about common mistakes people in your #customersegment make 20) share favorite sources of your content

Sending targeted and useful information to your customers can improve their experience. Segmenting customer contact information can help you do this. #customersegment #customersegmentation #segmentation #customers #audiencesegmentation

Thank you @Ship2BFound for helping us with the validation of our #CustomerSegment and #ValueProp. We definitely learnt a lot with you. Let’s keep growing 🚀

Today we had a lecture about the #customersegment of our #business model. This part involves us identifying our stakeholder and how we should market our #product towards them. #PeoriaMET #PeoriaMETEng

#BizConcept #CustomerSegment #BizTweak For your Township based enterprise, do you have a profile of your ideal customer?

WATCH the VIDEO on BinaPavo's YouTube: youtu.be/oBClvAS0onI #BusinessModelCanvas #BMC #Leadership #ValueProposition #Customer #Finance #CustomerSegment #Revenue #Cost #Marketing #BinaPavo #Lspace #TheLearningSpace #ThinkBig #Series #Webinars #ADFIM

WATCH the VIDEO on BinaPavo's YouTube: youtu.be/oBClvAS0onI #BusinessModelCanvas #BMC #Leadership #ValueProposition #Customer #Finance #CustomerSegment #Revenue #Cost #Marketing #BinaPavo #Lspace #TheLearningSpace #ThinkBig #Series #Webinars #ADFIM

Don't lump people into the same #customersegment based on income alone. Look deeper, understand their differences, give them what they really need. #customerexperience #DataAnalytics blastpoint.co/blog/a-tale-of…

In the process of releasing a new #Product to a new #Customersegment or planning to cross-sell an existing product to existing customer groups? Make use of this important metric to break down the numbers into manageable levels. Read more to find out. spanglobalservices.com/blog/…

Talking about the #threeleadingprinciples in sales, he said - "#Sales is not a #job. It is not about money. It is not targeted at a #customersegment. Sales is a #lifeskill and we are selling one of the three things all the time - #product, #service or an #idea."

Why wait?💀Did you know that we build #SalesLists? We identify your #CustomerSegment then find & #compile the #data. #DigitalOrigin is ready to help! Are you ready? #WebDesign #DigitalMarketing #SEO #SEM #PPC #EDDM #BizDev #Wordpress #WooCommerce #Linux #SalesTips 😎