Senior Director of Product Management at AtScale.
Daren Drummond is a seasoned product and engineering leader with over nine years in product management and more than 18 years in software engineering. Specializing in business intelligence, big data, and machine learning, he has driven the development of analytics solutions used by Fortune 1000 companies to power mission-critical workloads.
His technical expertise encompasses BI tools (Tableau, Power BI, Looker), cloud platforms (AWS EC2, GCP, Azure), and big data ecosystems (Snowflake, Google BigQuery, Redshift, HDP, Databricks). He is well‑versed in programming languages including Python, Java, R, C, and JavaScript, and applies both classical and Bayesian statistical methods along with machine learning techniques (classification, regression, clustering, neural networks, Q‑learning, time‑series analysis).
April 6, 2026
Best Data Governance Tools for Enterprises: 2026 GuideFor years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from inconsistent data, and suddenly, governance…
As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…
March 30, 2026
Why AI Agent Governance is the Latest Priority for EnterprisesOver the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…
March 27, 2026
AI vs. BI: Differences, What Changed, and Why Semantics Became CriticalEnterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…
March 26, 2026
AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise DataAutonomous AI agents, which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management. It's no surprise that, as regulatory…
March 16, 2026
Using AI Agents for Data Analysis: How Autonomous Agents Are Changing AnalyticsFor a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…
August 5, 2025
Addressing the Week 53 Retail Calendar Challenge: A Flexible, Tool-Agnostic Approach with AtScaleRetail organizations rely on specialized calendars, such as the "4-4-5" week and similar flavors, to capture the annual and weekly activity driven by holiday and day-of-week purchasing cycles. Organizing Quarters into standardized Months consisting of 4-4-5 weeks makes year-over-year and…
February 11, 2025
How to Write Report-Scoped DAX Expressions Using AtScale Dimensional ModelsIn my last post, I demonstrated the many advantages of using AtScale Models to power your Business Intelligence workloads, including human-friendly SML syntax, Git integration, multi-tool support, zero-extract Live Connections, and proven BI Modeling capabilities. In this post, I'll demonstrate…
October 21, 2024
How to Optimize Modern Data Models Without Sacrificing Proven BI TechniquesTabular models and the Data Analysis Expression (DAX) language offer Microsoft Power BI users enormous analytic and visualization capabilities. As powerful as these tools are, when using them, it can feel like one is reinventing the wheel to solve basic…
March 4, 2019
Supercharge Your Percentile Calculations for Big Data (Part I)Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. A new and powerful method of computing percentile estimates on Big Data is now available to you! By combining the well known t-Digest algorithm with AtScale’s semantic layer and smart aggregation…
Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post, we discussed typical use cases for percentiles and the advantages of percentile estimates. In this post, we illustrate how to model percentile estimates with AtScale and use…