Whether you’re on AWS, Azure, another cloud, or on-premise, query and concurrency costs are the TAX you pay for distributing information. Every time your business runs a query, scales concurrent users, or builds expensive data marts, you are incurring a hidden tax that drains resources and slows down decision-making. But why pay this tax? Why invest in costly workarounds just to reduce its burden when a better solution already exists?
Until now, eliminating these costs wasn’t possible – but we’ve developed a way to reduce BI query and concurrency costs by 1,000x. Just as DeepSeek has revolutionized AI by reducing training costs 1,000x, we are doing the same for Business Intelligence (BI) queries – bringing unprecedented efficiency and cost savings.
The Information Distribution Problem
If your business is struggling with skyrocketing query costs, scaling concurrent users, or building expensive data markets to reduce the financial burden of scanning large datasets, you have an information distribution problem – not just a data problem.
Many organizations try to optimize inefficiencies by investing in expensive queries, hiring consultants to create costly, high-maintenance data marts. But these approaches only patch the problem rather than solving it at its core. The smarter, future-proof approach is to rethink how information is packaged and delivered – eliminating the need for excessive querying altogether.
The Shift to Smarter Data Processing
Traditional BI systems rely heavily on query-based architectures, where every insight requires expensive computation. As a result, businesses incur excessive costs for data processing, infrastructure, and query execution. The more users you add, the more your costs spiral out of control.
A more scalable and cost-effective approach is shifting from query-heavy architectures to distributed data processing. By embedding business logic directly into smart documents, businesses can drastically cut costs, improve performance, and scale effortlessly—without relying on an ever-expanding infrastructure.
Beyond Queries: The Future of BI
The next frontier of Business Intelligence is not about running faster queries but about eliminating the need for them altogether. By leveraging headless BI architectures, smart documents with embedded processing, and intelligent information distribution, businesses can:
- Reduce query and concurrency costs by 1,000x
- Deliver real-time insights without expensive computation
- Scale information access seamlessly across teams and platforms
- Eliminate redundant data processing and infrastructure costs
This is not just an incremental improvement – it’s a paradigm shift that changes how organizations store, access, and distribute data.
A 1,000x Efficiency Leap
Think of it this way: AI models once required immense computing power and cost to train, until DeepSeek achieved a 1,000x reduction in AI training costs. Now, we are bringing that same efficiency breakthrough to BI – delivering a 1,000x reduction in BI query costs.
For businesses, this means moving from a costly, query-dependent model to an optimized, embedded processing information system that makes data instantly accessible – without expensive overhead.
The Time to Act is Now
The cost of BI queries is no longer a necessary expense—it’s an avoidable tax that businesses can eliminate with the right approach. Why continue paying for inefficiencies when a 1,000x improvement is within reach?
By embracing a new, smarter way to distribute information, organizations can unlock massive cost savings, gain a competitive edge, and future-proof their BI infrastructure.
The solution exists. The time to act is now.