A Business Analyst Workflow From Requirement to Dashboard Turning a SQL query into a Power BI report fails most often before anyone opens Power BI. The metric is undefined, the query returns the wrong grain, or the audience sees data they should not. This article gives a business analyst workflow from requirement to published dashboard,
SQL Query to Power BI Report Read Post »
What to Master First as an IT Analyst Excel, SQL, Python, or Tableau: which should you master first? For most IT analysts the answer is SQL, with Excel as the baseline you already have and Tableau and Python after it. The right order still depends on your role, your data, and your employer. This article
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Business analyst vs data analyst is a comparison of two roles that share a title pattern and a lot of vocabulary but answer different questions. A business analyst defines what a system or process must do. A data analyst finds out what the data says. This article shows where the roles differ, where they overlap,
Business Analyst vs Data Analyst: Roles, Skills, and SQL Needs for IT Professionals Read Post »
SQL Window Functions for Analysts: Ranking, LAG, and Running Totals SQL window functions for analysts solve a problem that GROUP BY cannot: calculate across related rows while keeping every row in the result. You use them to rank, compare a row to the previous one, build running totals, and keep the latest record per key.
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SQL Server vs Oracle vs Snowflake: Choosing and Porting SQL for IT Analysts SQL Server vs Oracle vs Snowflake is a question analysts meet the day a query written for one platform has to run on another. The three share ANSI SQL, but they differ in date math, null handling, row limiting, cost model, and
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ETL Validation SQL: Source-to-Target Testing Queries for Data Warehouses ETL validation SQL proves that the data a pipeline loaded matches the data it was supposed to load. Row counts that agree tell you almost nothing. A load can match on count and still truncate a column, drop late updates, or duplicate a dimension row. This
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SQL for Revenue Cycle Analysts: Denials, A/R, and Underpayment Queries SQL for revenue cycle analysts answers one question over and over: where is the money stuck, and why? Charges, claims, remittances, and adjustments live in separate tables with separate owners. This article shows the query patterns that connect them: days in A/R, charge lag, denial
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SQL for Financial Reporting: Trial Balance, Period Close, and Reconciliation Queries SQL for financial reporting differs from general analytics in one way that matters: every number must tie to something. A dashboard that is 2 percent off is a curiosity. A trial balance that is off by one cent is a failed control. This article
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SQL for Healthcare QA Analysts: Data Validation Queries for EHR Testing SQL for healthcare QA analysts is the skill that proves what an EHR build did to the data. A screen shows only part of that. A screen can display the right value while the table underneath holds a duplicate, a null, or a code
SQL for Healthcare QA Analysts: Data Validation for EHR Testing Read Post »
HIPAA-Safe Clarity SQL: How to Query Epic Data Without Exposing PHI HIPAA-safe Clarity SQL means every query returns only the data its purpose requires. You run it from an authorized source, and the output limits re-identification. Most privacy incidents in analytics do not come from attackers. They come from a well-meaning analyst who exports patient-level
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Clarity LOS Calculation with DATEDIFF: Admit-to-Discharge Logic for Epic Analysts A Clarity LOS calculation looks like one line of SQL: DATEDIFF between admit and discharge. It is also the most common reason two Epic reports show different length-of-stay numbers for the same patients. The function counts calendar boundaries, not elapsed days, and the definition you
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Epic Clarity PAT_ENC Table: Columns, Joins, and Query Patterns for Analysts The Epic Clarity PAT_ENC table holds one row per patient encounter contact, and almost every visit-level report you will validate starts there. It also hides the most common reconciliation trap in Epic reporting: a row in PAT_ENC is not always a visit. This article
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Epic Clarity SQL for Analysts: Common Tables, Query Patterns, and Data Validation A build validation that relies only on clicking through Hyperspace catches what’s visible on screen and misses everything underneath it — a diagnosis code mapped to the wrong category, an order type missing from a report’s underlying filter, a duplicate encounter inflating a
Epic Clarity SQL for Analysts: Common Tables, Query Patterns, and Data Validation Read Post »
