All Episodes
Explicit Measures Podcast — 573 episodes · page 4 of 6
274: Real Time Analytics in Power BI & Fabric
272: Change Management in Power BI
273: New M Functions for Microsoft Fabric
271: Microsoft Fabric &.... Tableau?
270: Mailbag Hot Takes (Part 2)
269: Data Projects or Data Products?
268: Microsoft Ignite Reactions
267: System Oversight, Microsoft Fabric, & Power BI
266: Managed Self Service in Power BI - The Implications?
265: Mailbag Hot Takes
264: Low User Adoption Rate in Power BI & What To Do About It
263: The Most Underrated Microsoft Features thus Far
262: Azure DevOps Pipelines & Git - The New World Order?
261: Power BI Best Served HOT - Business Intelligence Point Of View (Part 1)
260: How Do Microsoft Fabric Workspace Roles Change Planning?
259: How Important Is Star-Schema in Microsoft Fabric?
258: Showing the Insights vs. Showing Off
257: PowerPoint & Power BI... Bridging the Gap
256: The Outlook of Q&A & Understanding Linguistic Schema In Power BI
255: Measuring Organizational BI Skills
254: SQL in the Age of Microsoft Fabric
253: MAILBAG! Will Fabric Overwhelm the Business?
252: Data Strategist & Data Roles
251: Where Should we Use AI With BI?
250: How Much Data In a Fabric Lakehouse?
249: Jevon's Paradox & The Demand for Insights
248: Do We Design Workspaces Differently with Fabric?
247: Working In Data Is Hard
246: Knowledge, Wisdom, & Understanding
245: MAILBAG: Migrating from Laptop to Cloud
244: Companies are Failing to Be Data Driven
243: $100 To Invest In Microsoft Fabric?
242: Thinking Outside the (Power BI) Box
241: Solving Data Problems With Business Problems
240: Raising Awareness to What Power BI Can Do
239: Contextualized Insights In Power BI
238: The Essentiality of Tooltips in Power BI
237: A Data Storytellers Guide To Avoid Clutter
236: Move From SQL to Fabric OneLake?
235: The Root of All Problems Is Analytics
234: The Perfect Data Analyst
233: Mailbag! How Much Detail in a Power BI Report?
232: The Symbiotic Relationship Between Data Governance & Storytelling
231: What is a Conceptual Data Model?
230: Microsoft Fabric & Domain Roles - Who Owns What?
229: Domain Roles & Power BI
228: Power BI Teams & Source Control (Git) Integration
227: Microsoft Fabric & OneLake - Data Governance & Adoption
226: Fabric & Ensuring Separation of Capacities
225: RIP Power BI Workspaces
224: Decision Guide with Fabric - Warehouse or Lakehouse
223: Decision Guide with Fabric - Data Ingestion
222: Decision Guide with Fabric - Introduction
221: OneLake & Direct Lake in Microsoft Fabric
220: Git & Power BI
219: Diving In With New Button Features in Power BI
218: Hello Microsoft Fabric
217: Reusing Power Query Functions & Queries
216: Do Power BI Pro's Need to Know Python?
215: Visual Enhancements - Title Divider & Subtitle in Power BI Visuals
214: Collaboration in the Data Exploration Journey
213: Special Edition! Modeling On the Web with Microsoft's Emily Lisa
212: Why We Need Low-Code / No-Code Options for Data
211: Data Communication & Power BI
210: How to Dissect Someone Else's Power BI Report
209: Conditional Formatting in Power BI - How Critical Is It?
208: The Future of Business Intelligence Part 2 - Entering the Next Age of Data
207: Storyframing And Storyforming - Two Essential Steps That Precede Data Storytelling
206: The Future of Business Intelligence Part 1 - The End of Supply Chain Analytics
205: Business Metrics, or Raising the Bar On Delivering Insight
204: Options for Source Control In Power BI
203: 'It Depends' - Best Practices & Optimization for Models
202: Defining What Success Is For Power BI Administrators
201: What AI Knows About Data Visualization & Storytelling
200: Discovering On-Object Editing in Power BI
199: Defining the Business Problem - Creating Measures From Scratch
198: Dealing With Power BI Errors
197: The Power Automate Visual - How Important Is It?
196: Are Power BI Champions Integral to Adoption?
195: Use Cases for New Updates to Paginated Reports
194: Has Business Intelligence Stalled?
193: How To Build Data Literacy In Your Company
192: Are Power BI Metrics & Scorecards A Must-Use Now?
191: Data Storytelling Is the Conduit for Modern Data Literacy
190: Do Power BI Reports Need to Be Beautiful?
189: The Manipulation of Data By Other Teams
188: Mailbag! When to Use Excel Over Power BI?
187: 21 Mind Traps in BI
186: DataOps in For Power BI
185: Mythical Man-Month: The Second System Effect
184: Is an Analytical Engineer a BI Developer?
183: Should We Have More Icons & Buttons In Our Reports?
182: Learning By Doing - Using Sample Reports & Database for Growing Your Skills
181: Should We Always Hide Power BI Objects?
180: Power BI Champions Deep Dive
179: Searching In Power BI Desktop - A Must-Use Feature?
178: Why Power BI Is So Difficult
177: Where do the DAX Window Functions Fit Into Our Existing Processes?
176: Should We Be Utilizing Report Subscriptions More?
175: How Do you QA Power BI Assets?