Turn Your Reports into Intelligence. We modernize and migrate your legacy BI systems—moving you from static, slow reporting to a fast, AI-ready cloud platform. Whether you are transitioning from SAP, Cognos, or Tableau, we handle the entire journey: cleaning up your report clutter, automating the migration, and enabling self-service analytics. The result is a trusted environment where your team gets instant answers.
Your current BI tools are sluggish and static. Business leaders wait days for answers, and when reports finally arrive, the data is already out of date. You can’t react to market changes fast enough.
You have thousands of reports, but nobody knows which ones are accurate. Users are overwhelmed by duplicates and conflicting numbers, leading to a total lack of trust in the data.
Every new chart or dashboard requires a ticket to IT. Your technical team is buried in maintenance work, while business users are frustrated because they can’t answer simple questions themselves.
You want to use modern tools like Microsoft Copilot to “chat” with your data, but your legacy infrastructure isn’t ready. Your data isn’t structured or governed well enough to support reliable AI.
You are paying a fortune to maintain legacy on-premise servers (like SAP BusinessObjects or Cognos) that deliver a fraction of the value of modern cloud platforms.
We don’t just move your old reports to a new tool. We treat modernization as a strategic reset. Our consulting approach makes sure your new BI platform is faster, easier to manage, and ready for the future of AI.
We transform static, historical reporting into dynamic, self-service intelligence. By moving to modern platforms like Microsoft Power BI, we empower your business users to explore data and find their own answers without waiting for IT.
Migration is the perfect time to clean house. We don’t just “lift and shift” your mess. We use automation to identify unused reports, merge duplicates, and rationalize your inventory, often reducing report volume by 50% or more.
To use AI, your data must speak one language. We build a governed semantic layer that defines your metrics (like “Gross Margin”) once and for all. This ensures that every dashboard—and every AI agent—gives you the same trusted answer.
From the initial audit to the final user training, we handle the heavy lifting.
Modernizing BI is more than just swapping software; it’s about changing how your company uses data. Unlike generalist firms, we are specialized BI architects. We handle the entire lifecycle: auditing your report inventory, automating the migration, and training your team on the new platform. You don’t need separate vendors for strategy and implementation—we build your future-ready analytics engine.
We scan your current environment to identify which reports are actually being used. We kill the “zombies” and prioritize the high-value assets for migration.
We use AI-powered accelerators to migrate your logic and visualizations from legacy tools (SAP BO, Tableau, Qlik) to Power BI or Fabric, saving months of manual effort.
We build a shared logic layer (using tools like dbt or Power BI datasets) that separates your business rules from the visualization, ensuring consistency and governance.
We configure your new environment to support AI assistants. We ensure your data is properly tagged and structured so tools like Power BI Copilot can give accurate, hallucination-free answers.
The best tool is useless if nobody uses it. We provide hands-on training and “data literacy” workshops to help your business teams master self-service analytics.
With us, modernization isn’t just an upgrade; it’s a data culture shift.
Modernization requires understanding both where you are coming from and where you are going. We bring certified expertise to bridge that gap.
Let’s talk about your current reporting headaches and your vision for the future. Let’s jump on our initial strategy call, there’s no obligation. You’ll walk away with a clear understanding of how to modernize your analytics to cut costs and empower your team.
We’d like to ask you a few questions to better understand your IT needs.
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Yes, to a large extent. We use migration accelerators and AI tools to automatically extract metadata and logic from your legacy reports. However, we also use this opportunity to “rationalize” (clean up) your portfolio, so some manual review is always part of a high-quality process.
A semantic layer is like a translator. It sits between your raw data and your business users. It translates complex database table names into business terms like “Revenue” or “Customer.” It ensures that everyone in the company is using the exact same definition for every metric, preventing confusion.
Yes, but modern tools are designed to be intuitive. We provide comprehensive training programs to help your “power users” learn to build their own reports and help your general business users learn how to navigate and filter dashboards to find their own answers.
