<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>ServiceKPI Analytics blog</title><description>Practical articles on contact-center KPIs, DAX measures, semantic models and automated SLA reporting.</description><link>https://servicekpi-analytics.com/</link><item><title>Can You Automate SLA Reporting Without Buying New Software?</title><link>https://servicekpi-analytics.com/automate-sla-reporting-without-new-software/</link><guid isPermaLink="true">https://servicekpi-analytics.com/automate-sla-reporting-without-new-software/</guid><description>Yes, with Excel and Power Query. The hard part is the definition: five places SLA reports go wrong, and the Power Query and DAX that fix each one.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate></item><item><title>10 Contact Center KPIs to Track (With Ready DAX Formulas)</title><link>https://servicekpi-analytics.com/contact-center-kpis-dax-formulas/</link><guid isPermaLink="true">https://servicekpi-analytics.com/contact-center-kpis-dax-formulas/</guid><description>Ten contact-center KPIs with a plain definition, a complete DAX measure and the trap to avoid for each, built on one stated data model.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Excel or Power BI for KPI Reporting? How to Actually Decide</title><link>https://servicekpi-analytics.com/excel-or-power-bi-for-kpi-reporting/</link><guid isPermaLink="true">https://servicekpi-analytics.com/excel-or-power-bi-for-kpi-reporting/</guid><description>The platform is rarely the real decision. A practical framework for choosing between Excel and Power BI based on your data sources, audience, and refresh needs.</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The 5 KPIs Every Service Team Should Track (and the 3 Most Get Wrong)</title><link>https://servicekpi-analytics.com/5-kpis-every-service-team-should-track/</link><guid isPermaLink="true">https://servicekpi-analytics.com/5-kpis-every-service-team-should-track/</guid><description>FCR, AHT read with quality, service level, segmented CSAT, and occupancy used carefully, plus the 3 mistakes that quietly break most KPI dashboards.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate></item><item><title>From Raw Ticket Data to Executive Dashboard: My Actual Workflow</title><link>https://servicekpi-analytics.com/raw-ticket-data-to-executive-dashboard-workflow/</link><guid isPermaLink="true">https://servicekpi-analytics.com/raw-ticket-data-to-executive-dashboard-workflow/</guid><description>The 8-step process I actually follow between a raw ticketing export and a dashboard an executive can trust, in the order it actually happens.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Building a Semantic Model for a Contact-Center Power BI Dashboard</title><link>https://servicekpi-analytics.com/semantic-model-contact-center-power-bi/</link><guid isPermaLink="true">https://servicekpi-analytics.com/semantic-model-contact-center-power-bi/</guid><description>Before you write a single DAX measure, the model underneath your Power BI file decides whether your KPIs will ever agree with each other.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate></item></channel></rss>