Databricks supports the entire data lifecycle — from data engineering and analytics to machine learning and AI. Its breadth also creates complexity, and decisions made early shape the platform’s long-term value. Across Databricks implementations, we’ve found that the greatest returns come from clear decisions about platform design, governance, AI readiness, performance, and cost management. Whether…
ThoughtSpot makes analytics more accessible through Search, Liveboards, self-service exploration, and AI-powered insights. Recognition in the 2026 Garter Magic Quadrant™ for Analytics and BI Platforms reflects the platform’s continued innovation in enterprise analytics. But the platform alone does not create value. What you get back depends on whether it is built around the right business…
Organizations are investing heavily in data platforms, analytics, and AI, but many initiatives still take longer than expected to deliver meaningful business value. Discovery takes too long. Migrations become complex. Documentation gets deprioritized. Teams spend valuable time reinventing work that has been solved before. Accelr8 was established to change that. It combines AI-powered automation, reusable…
Data and analytics projects are no longer isolated technology initiatives. They sit at the center of business transformation, AI adoption, and enterprise decision-making. At the same time, they have become increasingly complex, requiring coordination across business and technical teams, evolving requirements, and rapidly changing technologies. Delivery must do more than keep tasks moving- it needs…
If you haven’t taken a serious look at the quality and performance of your dbt project in the last year, it’s time to take action. A dbt health check is crucial — even for the most proficient and technically adept organizations — offering an opportunity to gain valuable insights into areas of improvement and optimization,…
Expectations to do more with data and AI are rising while the margin for wasted effort is shrinking. As a data leader, how well you execute plans in 2026 will come down to a small set of decisions: where you invest, what you standardize, what you operationalize, and what you stop doing all together. I…
The Model Context Protocol (MCP) is changing how organizations operationalize AI across their data environments. Instead of building custom integrations for every AI tool or relying on manual processes that don’t scale, MCP provides a standardized interface that connects AI assistants directly to your data stack. It does so securely, efficiently, and without replacing your…
After 20 years of leadership under founder David Fussichen, Analytics8 welcomes Tom Munley as CEO. In this conversation, Tom shares his vision for preserving what makes Analytics8 special while scaling the company to meet the evolving needs of clients navigating the age of AI. Analytics8 has reached a pivotal moment. After two decades of building…
Everyone wants to move faster with AI, but few mid-market companies have the data foundation to do it effectively. Our new AI Data Readiness Research Report exposes just how wide that readiness gap is and what separates organizations realizing real value from those still struggling to get their data under control. In this blog, we…
“AI-ready data” is more than “clean” and “cloud-based” data — it’s data that is readable, governed, contains business context, and supported by a flexible architecture. Below you’ll find: What AI-Ready Data Looks Like — and What Happens When Your Don’t Have It AI-ready data isn’t just “clean” or “cloud-based.” It’s about having a data foundation…
In this blog, we break down six practical ways your peers are using Generative AI to get more value from their data. We also cover key considerations, best practices, and technology options for integrating Generative AI effectively. If you know Generative AI has potential, but you are struggling to figure out real-world application in your…
Let’s face it: discussions around data and analytics often get tangled up in buzzwords and half-baked promises. The reality is: your focus shouldn’t be on flashy tools or pipe dreams. It should be on smart, actionable goals and strategies that have real potential to transform your organization. As we move into 2025, we’re helping you…
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