Happy Ontologing!: Turn Data Chaos into Work Delight
Introduction For data pros – engineers, analysts, and developers – tackling messy, multi-source data often feels like wrestling a hydra: siloed systems, endless JOINs, and elusive insights. But what if data could be a joy to work with, intuitive, fast, even fun? Enter ontology-based data management, or as we call
Mano a Mano: Proprietary BI vs Headless BI SQL Measures
Organizations often find themselves juggling multiple Business Intelligence (BI) tools, each with its own way of defining and managing metrics. This fragmentation leads to inconsistency, increased maintenance overhead, and difficulties in scaling analytics across the enterprise. Enter Timbr SQL Metric Store – a universal, self-serve headless BI solution that’s changing
Why SQL Beats DAX Hands Down for Power BI Metrics
For Power BI users, DAX measures have been the go-to approach for defining business metrics within reports and dashboards. However, as datasets grow and analytical demands increase, DAX’s limitations become apparent—especially in terms of performance, complexity, and portability. By migrating DAX measures to SQL measures, Power BI users can: Improve
Why Every Business Needs a Self-Serve Metric Store
Introduction Imagine two departments in your company calculating ‘Customer Churn Rate’ differently, leading to strategic misalignment and confusion in decision-making. This scenario highlights a common challenge in today’s data-driven world: inconsistency in metrics across teams. As businesses are flooded with vast amounts of data from various sources, the need for
Timbr SQL Metric Store: Superior Metrics to Power Analytics
Tools like Power BI traditionally rely on measures defined with DAX. DAX introduces inefficiencies when dealing with complex data models, excessively pushing down queries to the database, leading to longer refresh times and increased resource consumption Timbr’s SQL measures redefine analytics by leveraging database-native functions, replacing DAX for unmatched efficiency.
Empowering Excel Users to Retrieve Data with Natural Language
Timbr NLQ allows properly authorized business users to retrieve data with natural language, transforming complex SQL queries into intuitive, conversation-driven inputs directly in Excel for streamlined analysis. Timbr NLQ Excel add-in enhances productivity for business analysts and data driven teams, enabling efficient Excel-based insights across multiple tables and interconnected datasets.
