10 SQL Server Queries Every MIS Analyst Uses Daily (With Simple Examples)

Why SQL matters for MIS reporting

If you work in MIS (Management Information Systems), you probably spend hours in Excel. But behind most automated reports is SQL — the language that pulls data from databases.

Learning these 10 query patterns will save you time and make you stand out in Data Analyst interviews.

1. Basic SELECT with filters

Use when: You need today's or this month's data.

SELECT OrderID, CustomerName, OrderDate, SalesAmount
FROM SalesOrders
WHERE OrderDate >= '2026-06-01'
  AND Region = 'North';

Think of it as: "Show me these columns, only for rows that match my conditions."

2. GROUP BY for summaries

Use when: You need totals by category, region, or month.

SELECT
  ProductCategory,
  SUM(SalesAmount) AS TotalSales,
  COUNT(*) AS OrderCount
FROM SalesOrders
WHERE YEAR(OrderDate) = 2026
GROUP BY ProductCategory
ORDER BY TotalSales DESC;

This is the foundation of almost every MIS report.

3. INNER JOIN to combine tables

Use when: Data is split across tables (orders + customers).

SELECT
  c.CustomerName,
  o.OrderDate,
  o.SalesAmount
FROM SalesOrders o
INNER JOIN Customers c ON o.CustomerID = c.CustomerID;

Simple analogy: JOIN is like matching rows in two Excel sheets using a common ID column.

4. LEFT JOIN to find missing data

Use when: You want all customers, even those with no orders.

SELECT
  c.CustomerName,
  o.OrderID
FROM Customers c
LEFT JOIN SalesOrders o ON c.CustomerID = o.CustomerID
WHERE o.OrderID IS NULL;

This finds customers who never placed an order — useful for sales follow-up reports.

5. Find duplicate records

Use when: Data quality checks before reporting.

SELECT InvoiceNo, COUNT(*) AS DuplicateCount
FROM Invoices
GROUP BY InvoiceNo
HAVING COUNT(*) > 1;

Duplicates cause wrong totals in dashboards. Always check before publishing KPIs.

6. Month-over-month comparison

Use when: Management asks "How did we do vs last month?"

SELECT
  FORMAT(OrderDate, 'yyyy-MM') AS SalesMonth,
  SUM(SalesAmount) AS MonthlySales
FROM SalesOrders
GROUP BY FORMAT(OrderDate, 'yyyy-MM')
ORDER BY SalesMonth;

Export this to Excel or Power BI for a trend chart.

7. Top N products or customers

Use when: "Show top 10 products by revenue."

SELECT TOP 10
  ProductName,
  SUM(SalesAmount) AS TotalRevenue
FROM SalesOrders
GROUP BY ProductName
ORDER BY TotalRevenue DESC;

8. CASE WHEN for categorization

Use when: You need custom buckets (High / Medium / Low sales).

SELECT
  ProductName,
  SalesAmount,
  CASE
    WHEN SalesAmount >= 100000 THEN 'High'
    WHEN SalesAmount >= 50000 THEN 'Medium'
    ELSE 'Low'
  END AS SalesBand
FROM SalesOrders;

9. NULL handling

Use when: Missing values break your averages.

SELECT
  AVG(ISNULL(SalesAmount, 0)) AS AvgSales
FROM SalesOrders;

ISNULL replaces blank values with zero (or another default).

10. CREATE VIEW for reusable reports

Use when: You run the same query every day.

CREATE VIEW vw_DailyMIS AS
SELECT
  CAST(OrderDate AS DATE) AS ReportDate,
  Region,
  SUM(SalesAmount) AS TotalSales
FROM SalesOrders
GROUP BY CAST(OrderDate AS DATE), Region;

Now Power BI or Excel can connect to vw_DailyMIS instead of rewriting SQL daily.

Practice plan (1 week)

Final takeaway

You do not need to memorize every SQL function. Master these 10 patterns and you can handle 80% of MIS reporting work. Practice on free datasets like AdventureWorks or your company's test database.