| What a year it's been. 2025 was a big one for us. The market shifted, our team grew, and our customer base nearly tripled. As a young company defining a new category, most days felt like a mix of excitement, pressure, and moments where our team really had to rise to the occasion. We felt that energy and sometimes the chaos right alongside many of you. We're genuinely grateful to everyone who's been part of our journey. I spent hundreds of hours this year talking with data and analytics leaders across very different companies, and most of the conversations sounded surprisingly similar. Everyone had more dashboards, more tools, and more data than ever before, yet far less confidence in the numbers than they'd like. That's something we're seeing everywhere. Data trust is at an all-time low. Not because teams aren't working hard or investing, but because analytics environments have quietly become cluttered. As data gets easier to access and build on, reporting grows fast. Even with all the attention on AI, Power BI, and Tableau environments are still growing 50% or more year over year at large enterprises. That kind of growth adds up quickly. Traditional BI is still one of the main ways people interact with data. Even with new chat interfaces and AI-driven experiences, it serves the same purpose: helping people make decisions. I like the term decision intelligence because whether it's a dashboard, a KPI, or AI-generated insight, this is the layer where decisions actually get made. Within it, the risks are real. Costs creep up. Governance gets messy. Numbers don't always line up. We've seen customers struggle to explain why two reports show slightly different values for the same metric, sometimes for data that ends up in front of regulators. At that point, the question isn't which report is right, but how the situation happened in the first place. AI and automation can help teams move faster, but they don't replace context or accountability. No AI system today truly understands how a business works end-to-end. That's why auditors exist and why we believe the same mindset is needed for analytics. That's how we think about Datalogz. Our goal is to act as an enterprise decision auditor, helping teams understand what they have, what's being used, what's duplicated, and where risk is creeping in. When those things aren't monitored, you lose the most important thing of all: trust. This year, our product, Control Tower, has changed a lot to support that vision. We can easily ingest a 65k report environment in minutes, something that used to take hours. We cut ingestion time to about a tenth of what it used to be. We built similarity models that help teams understand when reports, KPIs, or datasets are effectively saying the same thing, even if they don't look identical. Our monitors have become the backbone for governance, performance, and security across BI tools. And yes, we even launched a flashy new inventory page. For many customers, this has meant cleaning up thousands of reports in days instead of months, getting control of capacity, and finally having a clear path toward a trusted semantic layer. We're seeing teams rethink reporting strategies that took years to build and do it in a fraction of the time. What's clear is that AI won't succeed on top of messy analytics systems. Clean, intentional, and governed BI environments aren't optional anymore; they're foundational. We're grateful to work with customers who see that and are taking real steps to fix it. Some company highlights from 2025: We spent much of the year on the road, hosting two major roadshows across North America and India. These included dozens of customer meetings, Lunch n Learns, CDO roundtables, dinners, and a series of data-leader events in Dallas, Houston, San Francisco, Atlanta, Mumbai, Hyderabad, and Bangalore. Of course, our NYC-based Future Frontiers series continued with quarterly events as well. In partnership with Intake Media, we published our first State of BI Report, sharing an unbiased look at how large organizations are really using and governing BI today (read it here). We're also working on an State of AI in BI report to be released in early 2026 (if you want to share your insights, book an interview here). We joined the Gartner Data & Analytics Summit community on both sides of the Atlantic, attending EMEA in London and sponsoring the Summit in Orlando. We completed the Engage Program alongside leading Atlanta based enterprises, wrapping up with a closing reception at the Delta Flight Museum. We were invited to pitch at SkyDeck Demo Day 2025 in Berkeley, a milestone moment for the team. We deepened our partnership with Microsoft, sponsored Fabric Conference North America, and joined customers and partners at Fabric Conference Europe in Vienna. We hosted three global data leader events with our friends at Qualytics, E6 Data, and Metric Insights in New York City, Dallas, and Hyderabad. We brought our team together for global off sites in London and Hyderabad. And yes, we recorded quite a few podcast episodes along the way (if you'd like to join our Seize the Data series, send us a note)!
Thank you for being part of this journey with us. We're just getting started. Happy holidays from the entire Datalogz team! Thanks,
Logan Havern
CEO, Datalogz |
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