Datalogz

Microsoft Fabric has transformed BI capacity monitoring, and we are here to help BI admins navigate through its challenges and capitalize on its opportunities. From historical data retention to proactive alerts, we aim to redefine control through capacity monitoring. Read through document to learn more! 🔍 Written by Stephen Babcock. #MicrosoftFabric #PowerBI #capacitymonitoring #capacitycosts #DataAnalytics #DataStrategy #BusinessIntelligence

We are excited to announce that Datalogz has achieved SOC 2 Type II compliance! This achievement provides third party validation of our commitment to security & compliance and demonstrates the importance of building our customer’s trust. Both Vanta & Advantage Partners were tremendous partners throughout the process and helped guide us to this milestone.

To explore how the federal government is working to improve systems, processes, and culture Datalogz recently hosted a conversation with data leaders at the forefront of federal data adoption. Held in New York, the latest event in Datalogz’ Future Frontiers series featured DJ Patil, the former Chief Data Scientist of the United States, Kristyn Jones, former Under Secretary of the US Air Force, and Logan Havern, Co-Founder and CEO of Datalogz. The panel discussion offered an inside look at the federal government’s recent progress on data-driven initiatives, from solving BI Sprawl to introducing AI, to using data to solve massive challenges from healthcare to the military. Read our recent blog post for what we learned from these influential leaders. 🔗 in the top comment! #BusinessIntelligence #DataAnalytics #BIOps #PublicSector

"25% of organizations use 10 or more BI platforms, 61% use 4 or more, and 86% use at least 2." This stat from Forrester’s Boris Evelson highlights a reality many enterprises face: BI sprawl isn’t going away anytime soon, and AI is making it worse. Efforts to consolidate BI tools often clash with the needs of business users who rely on their preferred platforms, creating a tug-of-war between IT’s push for efficiency and users’ demands for flexibility. The result? More platforms, more complexity, and more waste. At Datalogz, we’re embracing the reality of multi-tool BI ecosystems. Our platform helps enterprises navigate this reality by bringing clarity to their BI environments. From identifying unused assets to optimizing platform spend and governance, we help organizations get the most value out of their analytics ecosystem without compromising user freedom. The challenge of BI sprawl is real, but with the right approach, it’s manageable. #BISprawl #DataOps #BIOptimization #Datalogz

❓ What is BI Sprawl and Why Should You Care? BI sprawl happens when hundreds of users self-serve data and create thousands of reports and dashboards. While many deliver real value, more lead to serious challenges: compliance risks, data leakage, duplicate reporting, and wasted resources. The impact? BI sprawl erodes trust in your data, inflates your data spending, and increases compliance and security risks. It’s the chaos of too much with too little control. How are you managing BI sprawl in your organization?

Build for the next generation of BI, or the legacy tools? When the Datalogz team asks about what integrations we should build next, often get feedback that falls into both camps. Some say to build for tools like Cognos, Oracle, and Business Objects. Others say to build for the next wave of AI. It sparks a lot of debate, so we put the question to Kristyn Jones, who previously served as Under Secretary of the Air Force. The answer revealed a lot about data governance at a massive enterprise like the DoD! Hint: It has a lot to do with BI Sprawl. #Data #BusinessIntelligence #NationalSecurity

A BI migration isn’t just a change in tools - it’s an opportunity to rethink and refine how data serves the organization. When managed carefully, BI migrations can create lasting value. Read more about BI Migrations in our recent blog post. 🔗 in the comments! #BusinessIntelligence #DataAnalytics #MicrosoftFabric

Is your data shop in order? The explosive growth of AI is generating plenty of excitement. But when it comes to data environments, it’s worth remembering that all of the same rules will still apply. Governance, risk monitoring, maintaining clean environments, and building trust in data will only become more important as AI capabilities advance, not less! That’s true from the warehouse to the consumption layer. At our recent fireside chat, we were fortunate to gain insight on this topic from DJ Patil, the former Chief Data Scientist of the United States. DJ’s work has supercharged data capabilities at many organizations that have massive impact, from the White House to LinkedIn to the Precision Medicine Initiative. He also helped to coin the term data scientist! As DJ shared, “If a data product fails you one time, it's hard to get that trust back. And so you want to evolve your data products on a strategy of keeping and retaining and growing that trust.”  #BusinessIntelligence #DataAnalytics #AI

Why did DJ Patil and GreatPoint Ventures invest in Datalogz? Because waste and inefficiencies are rampant in enterprise data, and it doesn’t have to be this way. Datalogz is tackling this challenge head-on, empowering organizations to optimize their data ecosystems and drive meaningful impact. #DataInnovation #EnterpriseData #BIOptimization #Datalogz

We recently hosted a fireside chat, Future Frontiers: Navigating Enterprise Analytics in the AI Era, featuring DJ Patil, former Chief Data Scientist for the United States, alongside Kristyn Jones, US Under Secretary of the Air Force - moderated by Logan Havern, CEO of Datalogz. The gathering aimed to build on Datalogz’s tradition of fostering open dialogue among data experts, drawing attention to the role that AI and data governance play in achieving sustainable transformation. 🔗 to the full recording in the comments! #BusinessIntelligence #ArtificialIntelligence #DataAnalytics